Research graph
References from AI-Based Measurement Tools for Intrinsic Capacity in Older Adults: Scoping Review. Local targets link to admitted publications; unresolved targets remain external evidence.
The World report on ageing and health: a policy framework for healthy ageing
10.1016/s0140-6736(15)00516-4 · External reference
Unresolved reference
External reference
Intrinsic capacity in older adults: recent advances
10.14336/ad.2021.0818 · External reference
Association of intrinsic capacity with functional decline and mortality in older adults: a systematic review and meta-analysis of longitudinal studies
10.1016/s2666-7568(24)00092-8 · External reference
Intrinsic capacity: an under-researched concept in geriatrics
10.1093/ageing/afad183 · External reference
Measurements of intrinsic capacity in older adults: a scoping review and quality assessment
10.1016/j.jamda.2022.09.011 · External reference
Implementation and impact of the World Health Organization integrated care for older people (ICOPE) program in China: a randomised controlled trial
10.1093/ageing/afad249 · External reference
How artificial intelligence is changing nursing
10.1097/01.numa.0000578988.56622.21 · External reference
High-performance medicine: the convergence of human and artificial intelligence
10.1038/s41591-018-0300-7 · External reference
Artificial intelligence for dementia—applied models and digital health
10.1002/alz.13391 · External reference
Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression
10.1038/s41746-023-00828-5 · External reference
Applications of artificial intelligence, machine learning, and deep learning in nutrition: a systematic review
10.3390/nu16071073 · External reference
Is the timed-up and go test feasible in mobile devices? A systematic review
10.3390/electronics9030528 · External reference
eHealth tools for the self-testing of visual acuity: a scoping review
10.1038/s41746-019-0154-5 · External reference
Developing and adopting safe and effective digital biomarkers to improve patient outcomes
10.1038/s41746-019-0090-4 · External reference
Responsible artificial intelligence as a secret ingredient for digital health: bibliometric analysis, insights, and research directions
10.1007/s10796-021-10142-8 · External reference
Artificial intelligence in elderly healthcare: a scoping review
10.1016/j.arr.2022.101808 · External reference
Intrinsic capacitiy monitoring by digital biomarkers in integrated care for older people (ICOPE)
10.14283/jfa.2020.51 · External reference
Digital healthcare for dementia and cognitive impairment: a scoping review
10.1016/j.ijnurstu.2022.104413 · External reference
The applications of artificial intelligence for assessing fall risk: systematic review
10.2196/54934 · External reference
Scoping studies: towards a methodological framework
10.1080/1364557032000119616 · External reference
Scoping studies: advancing the methodology
10.1186/1748-5908-5-69 · External reference
PRISMA Extension for Scoping Reviews (PRISMA-ScR): checklist and explanation
10.7326/m18-0850 · External reference
Unresolved reference
External reference
PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews
10.1186/s13643-020-01542-z · External reference
Development and feasibility study of HOPE model for prediction of depression among older adults using Wi-Fi-based motion sensor data: machine learning study
10.2196/67715 · External reference
Walking-in-place characteristics-based geriatric assessment using deep convolutional neural networks
10.1109/embc44109.2020.9176069 · External reference
10.1109/embc46164.2021.9630976
10.1109/embc46164.2021.9630976 · External reference
Frailty assessment using temporal gait characteristics and a long short-term memory network
10.1109/jbhi.2021.3067931 · External reference
Digital biomarkers of physical frailty and frailty phenotypes using sensor-based physical activity and machine learning
10.3390/s21165289 · External reference
A systems approach towards remote health-monitoring in older adults: introducing a zero-interaction digital exhaust
10.1038/s41746-022-00657-y · External reference
Research and application of digital rehabilitation evaluation methods for elderly care communities
10.3969/j.issn.1673-7571.2023.05.022 · External reference
Gait-based AI models for detecting sarcopenia and cognitive decline using sensor fusion
10.3390/diagnostics14242886 · External reference
CAREUP: an integrated care platform with intrinsic capacity monitoring and prediction capabilities
10.3390/s25030916 · External reference
Implementation of the WHO integrated care for older people (ICOPE) programme in clinical practice: a prospective study
10.1016/s2666-7568(22)00097-6 · External reference
Automated early detection of diabetic retinopathy
10.1016/j.ophtha.2010.03.046 · External reference
Automated grading for diabetic retinopathy: a large-scale audit using arbitration by clinical experts
10.1136/bjo.2009.176784 · External reference
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
10.1001/jama.2017.18152 · External reference
Automated diabetic retinopathy image assessment software: diagnostic accuracy and cost-effectiveness compared with human graders
10.1016/j.ophtha.2016.11.014 · External reference
Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
10.1038/s41746-018-0040-6 · External reference
Evaluation of artificial intelligence-based grading of diabetic retinopathy in primary care
10.1001/jamanetworkopen.2018.2665 · External reference
Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study
10.1038/s41598-018-22612-2 · External reference
Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System
10.1111/aos.13613 · External reference
Diagnostic accuracy of a device for the automated detection of diabetic retinopathy in a primary care setting
10.2337/dc18-0148 · External reference
Evaluation of deep learning network model based on attention mechanism in diabetic retinopathy screening in China
10.3760/cma.j.cn115791-20210314-00152 · External reference
Trends in the prevalence of common retinal and optic nerve diseases in China: an artificial intelligence based national screening
10.1167/tvst.13.4.28 · External reference
Implementation of deep learning artificial intelligence in vision-threatening disease screenings for an underserved community during COVID-19
10.1177/1357633x231158832 · External reference
Alzheimer’s disease detection using comprehensive analysis of timed up and go test via Kinect V.2 Camera and machine learning
10.1109/tnsre.2022.3181252 · External reference
Automating the timed up and go test using a depth camera
10.3390/s18010014 · External reference
Interpretable machine learning for depression recognition with spatiotemporal gait features among older adults: a cross-sectional study in Xiamen, China
10.1186/s12877-025-06101-6 · External reference
Automatic measurement of physical mobility in Get-Up-and-Go Test using Kinect sensor
10.1109/embc.2014.6944375 · External reference
Mild cognitive impairment detection through gait analysis and standard cameras
10.1109/embc53108.2024.10782745 · External reference
Statistical Analysis of Dual-task Gait Characteristics for Cognitive Score Estimation
10.1038/s41598-019-56485-w · External reference
The clinical significance of an AI-based assumption model for neurocognitive diseases using a novel dual-task system
10.1038/s41598-025-98319-y · External reference
Selection of clinical features for pattern recognition applied to gait analysis
10.1007/s11517-016-1546-1 · External reference
AI in evaluating ambulation of stroke patients: severity classification with video and functional ambulation category scale
10.1080/10749357.2024.2359342 · External reference
Augmenting dementia cognitive assessment with instruction-less eye-tracking tests
10.1109/jbhi.2020.3004686 · External reference
A novel deep learning approach for diagnosing Alzheimer’s disease based on eye-tracking data
10.3389/fnhum.2022.972773 · External reference
Deep learning-based eye-tracking analysis for diagnosis of Alzheimer’s disease using 3D comprehensive visual stimuli
10.1109/jbhi.2024.3365172 · External reference
Screening of Alzheimer’s disease by facial complexion using artificial intelligence
10.18632/aging.202545 · External reference
Development and evaluation of a deep learning framework for the diagnosis of malnutrition using a 3D facial points cloud: a cross‐sectional study
10.1002/jpen.2643 · External reference
Analysis and recognition of voluntary facial expression mimicry based on depressed patients
10.1109/jbhi.2023.3260816 · External reference
An artificial intelligence-assisted method for dementia detection using images from the clock drawing test
10.3233/jad-210299 · External reference
A 20-s video-based assessment of cognitive frailty: results from a cohort study within the precision aging network
10.1159/000546227 · External reference
Fast and automatic assessment of fall risk by coupling machine learning algorithms with a depth camera to monitor simple balance tasks
10.1186/s12984-019-0532-x · External reference
An analysis of a digital variant of the Trail Making Test using machine learning techniques
10.3233/thc-161274 · External reference
Episodic-memory performance in machine learning modeling for predicting cognitive health status classification
10.3233/jad-190165 · External reference
Study of a screening system for mild cognitive impairment based on machine learning model
10.3969/j.issn.1674-8115.2019.08.017 · External reference
Classifying mild cognitive impairment from behavioral responses in emotional arousal and valence evaluation task - AI approach for early dementia biomarker in aging societies
10.1109/embc44109.2020.9175805 · External reference
What can “drag & drop” tell? Detecting mild cognitive impairment by hand motor function assessment under dual-task paradigm
10.1016/j.ijhcs.2020.102547 · External reference
The use of the integrated cognitive assessment to improve the efficiency of primary care referrals to memory services in the accelerating dementia pathway technologies study
10.3389/fnagi.2023.1243316 · External reference
Clinical application of an intelligently modified mini-cog assessment tool for screening cognitive impairment
10.3969/j.issn.1009-0126.2023.08.003 · External reference
Development and first-stage validation of a digital version of the Digit Symbol Substitution test for use in assessing cognitive function in older people with diabetes
10.1111/dom.15657 · External reference
Feasibility of computerized motor, cognitive and speech tests in the home: analysis of TAS Test in 2,300 older adults
10.1016/j.tjpad.2025.100081 · External reference
PENSIEVE-AI a brief cognitive test to detect cognitive impairment across diverse literacy
10.1038/s41467-025-58201-x · External reference
Automatic analysis pipeline of squatting ability for elderly people based on an intelligent platform
10.1109/embc53108.2024.10781505 · External reference
BERT and BERTopic for screening clinical depression on open-ended text messages collected through a mobile application from older adults
10.1186/s12889-025-23337-4 · External reference
Scalable diagnostic screening of mild cognitive impairment using AI dialogue agent
10.1038/s41598-020-61994-0 · External reference
A remote speech-based AI system to screen for early Alzheimer’s disease via smartphones
10.1002/dad2.12366 · External reference
Feasibility of a machine learning-based smartphone application in detecting depression and anxiety in a generally senior population
10.3389/fpsyg.2022.811517 · External reference
Early detection of depression using a conversational AI bot: a non-clinical trial
10.1371/journal.pone.0279743 · External reference
When a chatbot asks “How are you?”: A cross-sectional study of AI call conversations and depressive symptom detection among older adults in rural South Korea
10.1186/s12877-026-07038-0 · External reference
Deep convolutional neural networks and transfer learning for measuring cognitive impairment using eye-tracking in a distributed tablet-based environment
10.1109/tbme.2020.2990734 · External reference
Construction of a prediction model for Alzheimer’s disease using an AI-driven eye-tracking task on mobile devices
10.1007/s40520-024-02882-9 · External reference
Accuracy of an artificial intelligence-based mobile application for detecting cataracts: results from a field study
10.4103/ijo.ijo_3372_22 · External reference
Evaluating real-world performance of an automated offline glaucoma AI on a smartphone fundus camera across glaucoma severity stages
10.1371/journal.pone.0324883 · External reference
Comparison of an AI-based mobile pupillometry system and NPi-200 for pupillary light reflex and correlation with glaucoma-related markers
10.3389/fneur.2024.1426205 · External reference
Online machine learning audiometry
10.1097/aud.0000000000000669 · External reference
Development and validation of a self-administered online hearing test
10.1177/23312165251317923 · External reference
Evaluating the prognostic and clinical validity of the fall risk score derived from an AI-based mHealth app for fall prevention: retrospective real-world data analysis
10.2196/55681 · External reference
Predicting depression from smartphone behavioral markers using machine learning methods, hyperparameter optimization, and feature importance analysis: exploratory study
10.2196/26540 · External reference
Advances in the estimation of body fat percentage using an artificial intelligence 2D-photo method
10.1038/s41746-024-01380-6 · External reference
Development and validation of a point-of-care nursing mobile tool to guide the diagnosis of malnutrition in hospitalized adult patients: a multicenter, prospective cohort study
10.1002/mco2.526 · External reference
Artificial intelligence detection of cognitive impairment in older adults during walking
10.1002/dad2.70012 · External reference
A machine learning framework for gait classification using inertial sensors: application to elderly, post-stroke and Huntington’s disease patients
10.3390/s16010134 · External reference
AI-based severity classification of dementia using gait analysis
10.3390/s25196083 · External reference
Differentiation of patients with balance insufficiency (vestibular hypofunction) versus normal subjects using a low-cost small wireless wearable gait sensor
10.3390/bios9010029 · External reference
Timed up and go and six-minute walking tests with wearable inertial sensor: one step further for the prediction of the risk of fall in elderly nursing home people
10.3390/s20113207 · External reference
Identifying depression in the elderly using gait accelerometry
10.1109/embc48229.2022.9871877 · External reference
Step length and gait speed estimation using a hearing aid integrated accelerometer: a comparison of different algorithms
10.1109/jbhi.2024.3454824 · External reference
Digital wearable insole-based identification of knee arthropathies and gait signatures using machine learning
10.7554/elife.86132 · External reference
Learning motion primitives for the quantification and diagnosis of mobility deficits
10.1109/tbme.2024.3404357 · External reference
Impact of gait parameters and their variability on fall risk assessment accuracy using wearable sensor
10.1109/tnsre.2025.3572109 · External reference
Statistical learning of mobility patterns from long-term monitoring of locomotor behaviour with body-worn sensors
10.1038/s41598-018-25523-4 · External reference
Diagnostic performance of actigraphy in Alzheimer’s disease using a machine learning classifier – a cross-sectional memory clinic study
10.1186/s13195-025-01751-5 · External reference
Digital biomarkers of mood disorders and symptom change
10.1038/s41746-019-0078-0 · External reference
Digital biomarkers for depression screening with wearable devices: cross-sectional study with machine learning modeling
10.2196/24872 · External reference
Quantitative assessment of resting-state for mild cognitive impairment detection: a functional near-infrared spectroscopy and deep learning approach
10.3233/jad-201163 · External reference
Deep learning-based multilevel classification of Alzheimer’s disease using non-invasive functional near-infrared spectroscopy
10.3389/fnagi.2022.810125 · External reference
Screening tools for subjective cognitive decline and mild cognitive impairment based on task-state prefrontal functional connectivity: a functional near-infrared spectroscopy study
10.1016/j.neuroimage.2025.121130 · External reference
Depressed mood prediction of elderly people with a wearable band
10.3390/s22114174 · External reference
Geriatric depression and anxiety screening via deep learning using activity tracking and sleep data
10.1002/gps.6071 · External reference
Predicting the severity of mood and neuropsychiatric symptoms from digital biomarkers using wearable physiological data and deep learning
10.1016/j.compbiomed.2024.108959 · External reference
Using flexible-printed piezoelectric sensor arrays to measure plantar pressure during walking for sarcopenia screening
10.3390/s24165189 · External reference
Detection of tripping gait patterns in the elderly using autoregressive features and support vector machines
10.1016/j.jbiomech.2008.02.037 · External reference
Automatic assessment of a rollator-user’s condition during rehabilitation using the i-Walker platform
10.1109/tnsre.2017.2698005 · External reference
Discrimination between possible sarcopenia and metabolic syndrome using the arterial pulse spectrum and machine-learning analysis
10.1038/s41598-022-26074-5 · External reference
Automated cognitive health assessment using smart home monitoring of complex tasks
10.1109/tsmc.2013.2252338 · External reference
Ecological assessment of autonomy in instrumental activities of daily living in dementia patients by the means of an automatic video monitoring system
10.3389/fnagi.2015.00098 · External reference
Smart home-based prediction of multidomain symptoms related to Alzheimer’s disease
10.1109/jbhi.2018.2798062 · External reference
TraMiner: vision-based analysis of locomotion traces for cognitive assessment in smart-homes
10.1007/s12559-020-09816-3 · External reference
Automated cognitive health assessment from smart home-based behavior data
10.1109/jbhi.2015.2445754 · External reference
Automated cognitive health assessment based on daily life functional activities
10.1155/2023/5684914 · External reference
Smart homes as enablers for depression pre-diagnosis using PHQ-9 on HMI through fuzzy logic decision system
10.3390/s21237864 · External reference
Walking path images from real-time location data predict degree of cognitive impairment
10.1016/j.artmed.2023.102657 · External reference
Sleep signal analysis for early detection of Alzheimer’s disease and related dementia (ADRD)
10.1109/jbhi.2023.3235391 · External reference
A speech recognition-based solution for the automatic detection of mild cognitive impairment from spontaneous speech
10.2174/1567205014666171121114930 · External reference
Assessing the utility of language and voice biomarkers to predict cognitive impairment in the Framingham heart study cognitive aging cohort data
10.3233/jad-190783 · External reference
Do words matter? Detecting social isolation and loneliness in older adults using natural language processing
10.3389/fpsyt.2021.728732 · External reference
Increasing access to cognitive screening in the elderly: applying natural language processing methods to speech collected over the telephone
10.1016/j.cortex.2022.08.005 · External reference
Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach
10.1002/alz.12721 · External reference
Linguistic-based mild cognitive impairment detection using informative loss
10.1016/j.compbiomed.2024.108606 · External reference
DEMENTIA: a hybrid attention-based multimodal and multi-task learning framework with expert knowledge for Alzheimer’s disease assessment from speech
10.1109/jbhi.2024.3509620 · External reference
Rapid detection of mild cognitive impairment using natural language processing
10.3760/cma.j.issn.0254-1424.2023.07.003 · External reference
Automatic spontaneous speech analysis for the detection of cognitive functional decline in older adults: multilanguage cross-sectional study
10.2196/50537 · External reference
Vocal pattern detection of depression among older adults
10.1111/inm.12678 · External reference
Evaluation of an AI-based voice biomarker tool to detect signals consistent with moderate to severe depression
10.1370/afm.240091 · External reference
Fast, continuous audiogram estimation using machine learning
10.1097/aud.0000000000000186 · External reference
Dynamically masked audiograms with machine learning audiometry
10.1097/aud.0000000000000891 · External reference
A parsimonious approach for screening moderate-to-profound hearing loss in a community-dwelling geriatric population based on a decision tree analysis
10.1186/s12877-019-1232-x · External reference
Data-driven audiogram classification for mobile audiometry
10.1038/s41598-020-60898-3 · External reference
Automated hearing loss type classification based on pure tone audiometry data
10.1038/s41598-024-64310-2 · External reference
Performance and reliability evaluation of an automated bone-conduction audiometry using machine learning
10.1177/23312165241286456 · External reference
DCTclock: clinically-interpretable and automated artificial intelligence analysis of drawing behavior for capturing cognition
10.3389/fdgth.2021.750661 · External reference
Automated early detection of Alzheimer’s disease by capturing impairments in multiple cognitive domains with multiple drawing tasks
10.3233/jad-215714 · External reference
An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks
10.1186/s13195-022-01043-2 · External reference
Spatial and dynamical handwriting analysis in mild cognitive impairment
10.1016/j.compbiomed.2017.01.004 · External reference
Early Alzheimer’s disease diagnosis via handwriting with self-attention mechanisms
10.1177/13872877241283920 · External reference
10.1109/lifetech52111.2021.9391934
10.1109/lifetech52111.2021.9391934 · External reference
Identifying mild cognitive impairment by using human-robot interactions
10.3233/jad-215015 · External reference
Inter- and intra-rater reliability of cognitive assessment conducted by assistive robot for older adults living in the community: a preliminary study
10.1111/psyg.13203 · External reference
A machine-learning-based assessment method for early-stage neurocognitive impairment by an immersive virtual supermarket
10.1109/tnsre.2021.3118918 · External reference
Digital marker for early screening of mild cognitive impairment through hand and eye movement analysis in virtual reality using machine learning: first validation study
10.2196/48093 · External reference
An ensemble learning algorithm for cognitive evaluation by an immersive virtual reality supermarket
10.1109/tnsre.2024.3470802 · External reference
Detecting Alzheimer’s disease using digital virtual reality cognitive tests
10.1002/alz.71039 · External reference
Predicting MCI status from multimodal language data using cascaded classifiers
10.3389/fnagi.2019.00205 · External reference
A multimodal approach for early identification of mild cognitive impairment and Alzheimer’s disease with fusion network using eye movements and speech
10.1109/tnsre.2025.3561043 · External reference
A multimodal cross-transformer-based model to predict mild cognitive impairment using speech, language and vision
10.1016/j.compbiomed.2024.109199 · External reference
Effectiveness of digital screening tools in detecting cognitive impairment among community-dwelling elderly in Northern China: a large cohort study
10.1016/j.tjpad.2025.100080 · External reference
A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort
10.1002/alz.13517 · External reference
One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks
10.1016/j.cmpb.2024.108508 · External reference
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease
10.1186/s13195-025-01675-0 · External reference
Sleep movements and respiratory coupling as a biobehavioral metric for early Alzheimer’s disease in independently dwelling adults
10.1186/s12877-023-03983-2 · External reference
Smartwatch- and smartphone-based remote assessment of brain health and detection of mild cognitive impairment
10.1038/s41591-024-03475-9 · External reference
Machine learning-based estimation of the mild cognitive impairment stage using multimodal physical and behavioral measures
10.1038/s41598-025-19364-1 · External reference
Game-based assessment of peripheral neuropathy combining sensor-equipped insoles, video games, and AI: proof-of-concept study
10.2196/52323 · External reference
Video game-based application for fall risk assessment: a proof-of-concept cohort study
10.1016/j.eclinm.2024.102947 · External reference
Prospective fall-risk prediction models for older adults based on wearable sensors
10.1109/tnsre.2017.2687100 · External reference
A comparative study of the 2D- and 3D-based skeleton avatar technology for assessing physical activity and functioning among healthy older adults
10.1177/14604582231214589 · External reference
Digital assessment of walking ability: Validity and reliability of the automated figure-of-eight walk test in older adults
10.1371/journal.pone.0316612 · External reference
Sarcopenia classification model for musculoskeletal patients using smart insole and artificial intelligence gait analysis
10.1002/jcsm.13356 · External reference
Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets
10.3389/fpubh.2024.1443188 · External reference
Using 3D facial information to predict malnutrition and consequent complications
10.1002/ncp.11215 · External reference
Explainable AI for malnutrition risk prediction from m-Health and clinical data
10.1016/j.smhl.2023.100429 · External reference
Clinical performance of an interactive platform based on artificial intelligence in ophthalmology: experience in a third-level reference center
10.3389/fmed.2025.1593556 · External reference
Toward a mobile platform for real-world digital measurement of depression: user-centered design, data quality, and behavioral and clinical modeling
10.2196/27589 · External reference
Depression prediction by using ecological momentary assessment, actiwatch data, and machine learning: observational study on older adults living alone
10.2196/14149 · External reference
Screening for depression in daily life: development and external validation of a prediction model based on actigraphy and experience sampling method
10.2196/22634 · External reference
Monitoring changes in depression severity using wearable and mobile sensors
10.3389/fpsyt.2020.584711 · External reference
Mood ratings and digital biomarkers from smartphone and wearable data differentiates and predicts depression status: a longitudinal data analysis
10.1016/j.pmcj.2022.101621 · External reference
Digital phenotyping of geriatric depression using a community-based digital mental health monitoring platform for socially vulnerable older adults and their community caregivers: 6-week living lab single-arm pilot study
10.2196/55842 · External reference
Large-scale digital phenotyping: Identifying depression and anxiety indicators in a general UK population with over 10,000 participants
10.1016/j.jad.2025.01.124 · External reference
Deep learning-based automated speech detection as a marker of social functioning in late-life depression
10.1017/s0033291719003994 · External reference
Developing a machine learning model for detecting depression, anxiety, and apathy in older adults with mild cognitive impairment using speech and facial expressions: a cross-sectional observational study
10.1016/j.ijnurstu.2023.104562 · External reference
Multimodal depression recognition and analysis: facial expression and body posture changes via emotional stimuli
10.1016/j.jad.2025.03.155 · External reference
From physical activity patterns to cognitive status: development and validation of novel digital biomarkers for cognitive assessment in older adults
10.1186/s12966-025-01706-x · External reference
Vision-based human fall detection systems using deep learning: a review
10.1016/j.compbiomed.2022.105626 · External reference
Deep learning-enabled medical computer vision
10.1038/s41746-020-00376-2 · External reference
Eye-tracking paradigms for the assessment of mild cognitive impairment: a systematic review
10.3389/fpsyg.2023.1197567 · External reference
A short digital eye-tracking assessment predicts cognitive status among adults
10.1007/s11357-020-00254-5 · External reference
Digital technologies for health promotion and disease prevention in older people: scoping review
10.2196/43542 · External reference
Wearable devices: implications for precision medicine and the future of health care
10.1146/annurev-med-052422-020437 · External reference
Recognition of basic activities of daily living using wearable devices for older adults: scoping review
10.2196/67373 · External reference
Concurrent validity evidence for pressure-sensing walkways measuring spatiotemporal features of gait: a systematic review and meta-analysis
10.3390/s24144537 · External reference
Non-contact multimodal indoor human monitoring systems: a survey
10.1016/j.inffus.2024.102457 · External reference
Health monitoring using smart home technologies: scoping review
10.2196/37347 · External reference
Smart home advancements for health care and beyond: systematic review of two decades of user-centric innovation
10.2196/62793 · External reference
Blockchain-modeled edge-computing-based smart home monitoring system with energy usage prediction
10.3390/s23115263 · External reference
Enhancing healthcare through sensor-enabled digital twins in smart environments: a comprehensive analysis
10.3390/s24092793 · External reference
Fall sensors, home emergency system, and social service for ≥ 75-year-olds living at home - a matched control intervention study
10.1186/s12877-025-05856-2 · External reference
Adaptation in smart home automation systems: a systematic review of decision-making and interaction
10.1016/j.iot.2025.101588 · External reference
The role of smart homes in providing care for older adults: a systematic literature review from 2010 to 2023
10.3390/smartcities7040062 · External reference
A review of deep learning techniques for speech processing
10.1016/j.inffus.2023.101869 · External reference
From data to discovery: technology propels speech-language research and theory-building in developmental science
10.1016/j.neubiorev.2025.106199 · External reference
Linguistic markers predict onset of Alzheimer’s disease
10.1016/j.eclinm.2020.100583 · External reference
Bio-acoustic features of depression: a review
10.1016/j.bspc.2023.105020 · External reference
The quantification of gesture-speech synchrony: A tutorial and validation of multimodal data acquisition using device-based and video-based motion tracking
10.3758/s13428-019-01271-9 · External reference
The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact
10.1038/s41746-025-01602-5 · External reference
Digital phenotypes and digital biomarkers for health and diseases: a systematic review of machine learning approaches utilizing passive non-invasive signals collected via wearable devices and smartphones
10.1007/s10462-024-11009-5 · External reference
Digital biomarkers: convergence of digital health technologies and biomarkers
10.1038/s41746-022-00583-z · External reference
Definitions of digital biomarkers: a systematic mapping of the biomedical literature
10.1136/bmjhci-2023-100914 · External reference
Artificial intelligence in perinatal mental health research: a scoping review
10.1016/j.compbiomed.2024.108685 · External reference
Artificial intelligence -based technologies in nursing: a scoping literature review of the evidence
10.1016/j.ijnurstu.2021.104153 · External reference
Digital biomarkers of ageing for monitoring physiological systems in community-dwelling adults
10.1016/j.lanhl.2025.100725 · External reference
Perspectives on AI and novel technologies among older adults, clinicians, payers, investors, and developers
10.1001/jamanetworkopen.2025.3316 · External reference
Evaluation of available cognitive tools used to measure mild cognitive decline: a scoping review
10.3390/nu13113974 · External reference
Integrating artificial intelligence with wearable sensors for advanced health monitoring and diagnosis
10.3390/bios16060344 · External reference
Applications of artificial intelligence-based conversational agents in healthcare: a systematic umbrella review
10.1016/j.ijmedinf.2025.106204 · External reference
The pursuit of health: a vitality based perspective
10.1016/j.pcad.2023.04.001 · External reference
The vitality domain of intrinsic capacity: a scoping review of conceptual frameworks and measurements
10.1016/j.tjfa.2025.100058 · External reference
Hearing loss associated with mobility and cognitive impairment: comorbid condition, an intrinsic capacity-aligned vulnerability cluster or a syndromic clustering?
10.1016/j.jnha.2026.100797 · External reference
Intrinsic capacity and its dimensions in relation to functional ability in older adults: a systematic review and meta-analysis
10.1016/j.archger.2025.105860 · External reference
Real-life intrinsic capacity screening data from the ICOPE-Care program
10.1038/s43587-024-00684-2 · External reference
A rapid review of the measurement of intrinsic capacity in older adults
10.1007/s12603-021-1622-6 · External reference
Key challenges for delivering clinical impact with artificial intelligence
10.1186/s12916-019-1426-2 · External reference
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
10.1038/s41591-022-01772-9 · External reference
Exploring the ethical and practical considerations of artificial intelligence in real-world health care settings: stakeholder focus group study
10.2196/85163 · External reference
Intrinsic capacity and its biological basis: a scoping review
10.14283/jfa.2024.30 · External reference
Assessment and scoring of intrinsic capacity in older adults: an integrative literature review
10.3928/00989134-20250505-01 · External reference
Research progress on intrinsic capacity in older adults: concepts, epidemiology, assessments, influencing factors, adverse outcomes, and interventions
10.35772/ghm.2025.01026 · External reference
Classification of neurological and mental health disorders based on multimodal approaches: a comprehensive review
10.1016/j.neubiorev.2025.106399 · External reference
Navigating the landscape of multimodal AI in medicine: a scoping review on technical challenges and clinical applications
10.1016/j.media.2025.103621 · External reference
Unresolved reference
External reference
