Research graph
References from Research on the correlation between artificial intelligence and depression. Local targets link to admitted publications; unresolved targets remain external evidence.
Major Depression and Its Recurrences: Life Course Matters.
10.1146/annurev-clinpsy-072220-021440 · 2022 · External reference
Depression.
10.7326/aitc202105180 · 2021 · External reference
Depression - understanding, identifying, and diagnosing.
10.1056/nejmp2310179 · 2024 · External reference
Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.
10.1016/s0140-6736(24)00757-8 · 2024 · External reference
Effects of an artificial intelligence platform for behavioral interventions on depression and anxiety symptoms: randomized clinical trial.
10.2196/46781 · 2023 · External reference
Artificial intelligence in healthcare: an essential guide for health leaders.
10.1177/0840470419873123 · 2020 · External reference
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis.
10.1017/s0033291721003871 · 2021 · External reference
Machine learning in major depression: from classification to treatment outcome prediction.
10.1111/cns.13048 · 2018 · External reference
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: a comprehensive review.
10.1016/j.compbiomed.2023.106741 · 2023 · External reference
Artificial intelligence in psychiatry research, diagnosis, and therapy.
10.1016/j.ajp.2023.103705 · 2023 · External reference
Digital health literacy: bibliometric analysis.
10.2196/35816 · 2022 · External reference
The evolution of artificial intelligence in biomedicine: bibliometric analysis.
10.2196/45770 · 2023 · External reference
Knowledge syntheses in medical education: a bibliometric analysis.
10.1007/s40037-020-00626-9 · 2021 · External reference
Bibliometric analysis of nursing informatics research.
2021 · External reference
Bibliometrics basics.
10.3163/1536-5050.103.4.013 · 2015 · External reference
Bibliometrics: methods for studying academic publishing.
10.1007/s40037-021-00695-4 · 2022 · External reference
Current concepts on bibliometrics: a brief review about impact factor, Eigenfactor score, CiteScore, SCImago Journal Rank, Source-Normalised Impact per Paper, H-index, and alternative metrics.
10.1007/s11845-018-1936-5 · 2019 · External reference
The collision of ChatGPT and traditional medicine: a perspective from bibliometric analysis.
10.1097/js9.0000000000000662 · 2023 · External reference
A bibliometric comparison of undergraduate and postgraduate endodontic education publications: the topics, trends, and challenges.
10.1002/jdd.13350 · 2023 · External reference
Frontier and hot topics in electrochemiluminescence sensing technology based on CiteSpace bibliometric analysis.
10.1016/j.bios.2021.113932 · 2022 · External reference
Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial.
10.2196/mental.7785 · 2017 · External reference
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing.
10.1038/nmat4856 · 2017 · External reference
Cross-trial prediction of treatment outcome in depression: a machine learning approach.
10.1016/s2215-0366(15)00471-x · 2016 · External reference
Oil bioremediation in the marine environment of Antarctica: a review and bibliometric keyword cluster analysis.
10.3390/microorganisms9020419 · 2021 · External reference
Longitudinal bibliometric analysis applied to home care services.
10.1016/j.cmpb.2021.106108 · 2021 · External reference
Knowledge mapping of global status and trends for Thromboangiitis obliterans: a Bibliometrics and visual analysis.
10.2147/jpr.s437521 · 2023 · External reference
Machine learning for precision psychiatry: opportunities and challenges.
2018 · External reference
Automated EEG-based screening of depression using deep convolutional neural network.
10.1016/j.cmpb.2018.04.012 · 2018 · External reference
Natural language processing applied to mental illness detection: a narrative review.
10.1038/s41746-022-00589-7 · 2022 · External reference
Photonic synapses based on inorganic perovskite quantum dots for neuromorphic computing.
10.1002/adma.201802883 · 2018 · External reference
Memristive artificial synapses for neuromorphic computing.
2021 · External reference
Studying depression using imaging and machine learning methods.
10.1016/j.nicl.2015.11.003 · 2016 · External reference
Performance of artificial intelligence in predicting future depression levels.
2023 · External reference
The role of humanization and robustness of large language models in conversational artificial intelligence for individuals with depression: a critical analysis.
10.2196/56569 · 2024 · External reference
Using artificial intelligence to predict change in depression and anxiety symptoms in a digital intervention: evidence from a Transdiagnostic randomized controlled trial.
10.1016/j.psychres.2020.113618 · 2021 · External reference
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment.
10.1186/s40708-023-00188-6 · 2023 · External reference
Screening for depression using natural language processing: literature review.
10.2196/55067 · 2024 · External reference
Subphenotyping depression using machine learning and electronic health records.
10.1002/lrh2.10241 · 2020 · External reference
Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.
10.1186/s12888-023-05109-9 · 2023 · External reference
Using brain imaging to improve spatial targeting of transcranial magnetic stimulation for depression.
10.1016/j.biopsych.2020.05.033 · 2021 · External reference
Depression and prostate cancer risk: a Mendelian randomization study.
10.1002/cam4.3493 · 2020 · External reference
Natural language processing for depression prediction on Sina Weibo: method study and analysis.
10.2196/58259 · 2024 · External reference
Privacy-preserving federated model predicting bipolar transition in patients with depression: prediction model development study.
10.2196/46165 · 2023 · External reference
Integrating artificial intelligence into health care through data access: can the GDPR act as a beacon for policymakers?
10.1093/jlb/lsz013 · 2019 · External reference
Artificial intelligence and algorithmic bias: implications for health systems.
10.7189/jogh.09.020318 · 2019 · External reference
Availability bias and artificial intelligence.
10.1016/j.jaad.2019.07.051 · 2023 · External reference
Machine learning in healthcare.
10.2174/1389202922666210705124359 · 2021 · External reference
Artificial intelligence for personalized preventive adolescent healthcare.
10.1016/j.jadohealth.2020.02.021 · 2020 · External reference
Evaluating the clinical feasibility of an artificial intelligence-powered, web-based clinical decision support system for the treatment of depression in adults: longitudinal feasibility study.
10.2196/31862 · 2021 · External reference
Acceptability and effectiveness of artificial intelligence therapy for anxiety and depression (Youper): longitudinal observational study.
10.2196/26771 · 2021 · External reference
Evaluations of artificial intelligence and machine learning algorithms in neurodiagnostics.
10.1152/jn.00404.2023 · 2024 · External reference
Digital mental health: role of artificial intelligence in psychotherapy.
10.1177/09727531231221612 · 2025 · External reference
Interdisciplinary collaboration opportunities, challenges, and solutions for Artificial Intelligence in Ultrasound.
10.2174/1573405618666220321123126 · 2022 · External reference
Photonic synapses based on inorganic perovskite quantum dots for neuromorphic computing.
10.1002/adma.201802883 · ExternalCitation · doi-reference
Depression and prostate cancer risk: a Mendelian randomization study.
10.1002/cam4.3493 · ExternalCitation · doi-reference
A bibliometric comparison of undergraduate and postgraduate endodontic education publications: the topics, trends, and challenges.
10.1002/jdd.13350 · ExternalCitation · doi-reference
Subphenotyping depression using machine learning and electronic health records.
10.1002/lrh2.10241 · ExternalCitation · doi-reference
Current concepts on bibliometrics: a brief review about impact factor, Eigenfactor score, CiteScore, SCImago Journal Rank, Source-Normalised Impact per Paper, H-index, and alternative metrics.
10.1007/s11845-018-1936-5 · ExternalCitation · doi-reference
Knowledge syntheses in medical education: a bibliometric analysis.
10.1007/s40037-020-00626-9 · ExternalCitation · doi-reference
Bibliometrics: methods for studying academic publishing.
10.1007/s40037-021-00695-4 · ExternalCitation · doi-reference
Artificial intelligence in psychiatry research, diagnosis, and therapy.
10.1016/j.ajp.2023.103705 · ExternalCitation · doi-reference
Using brain imaging to improve spatial targeting of transcranial magnetic stimulation for depression.
10.1016/j.biopsych.2020.05.033 · ExternalCitation · doi-reference
Frontier and hot topics in electrochemiluminescence sensing technology based on CiteSpace bibliometric analysis.
10.1016/j.bios.2021.113932 · ExternalCitation · doi-reference
Automated EEG-based screening of depression using deep convolutional neural network.
10.1016/j.cmpb.2018.04.012 · ExternalCitation · doi-reference
Longitudinal bibliometric analysis applied to home care services.
10.1016/j.cmpb.2021.106108 · ExternalCitation · doi-reference
Machine learning based approaches for clinical and non-clinical depression recognition and depression relapse prediction using audiovisual and EEG modalities: a comprehensive review.
10.1016/j.compbiomed.2023.106741 · ExternalCitation · doi-reference
Availability bias and artificial intelligence.
10.1016/j.jaad.2019.07.051 · ExternalCitation · doi-reference
Artificial intelligence for personalized preventive adolescent healthcare.
10.1016/j.jadohealth.2020.02.021 · ExternalCitation · doi-reference
Studying depression using imaging and machine learning methods.
10.1016/j.nicl.2015.11.003 · ExternalCitation · doi-reference
Using artificial intelligence to predict change in depression and anxiety symptoms in a digital intervention: evidence from a Transdiagnostic randomized controlled trial.
10.1016/j.psychres.2020.113618 · ExternalCitation · doi-reference
Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021.
10.1016/s0140-6736(24)00757-8 · ExternalCitation · doi-reference
Cross-trial prediction of treatment outcome in depression: a machine learning approach.
10.1016/s2215-0366(15)00471-x · ExternalCitation · doi-reference
Machine learning in the prediction of depression treatment outcomes: a systematic review and meta-analysis.
10.1017/s0033291721003871 · ExternalCitation · doi-reference
A non-volatile organic electrochemical device as a low-voltage artificial synapse for neuromorphic computing.
10.1038/nmat4856 · ExternalCitation · doi-reference
Natural language processing applied to mental illness detection: a narrative review.
10.1038/s41746-022-00589-7 · ExternalCitation · doi-reference
Depression - understanding, identifying, and diagnosing.
10.1056/nejmp2310179 · ExternalCitation · doi-reference
Integrating artificial intelligence into health care through data access: can the GDPR act as a beacon for policymakers?
10.1093/jlb/lsz013 · ExternalCitation · doi-reference
The collision of ChatGPT and traditional medicine: a perspective from bibliometric analysis.
10.1097/js9.0000000000000662 · ExternalCitation · doi-reference
Machine learning in major depression: from classification to treatment outcome prediction.
10.1111/cns.13048 · ExternalCitation · doi-reference
Major Depression and Its Recurrences: Life Course Matters.
10.1146/annurev-clinpsy-072220-021440 · ExternalCitation · doi-reference
Evaluations of artificial intelligence and machine learning algorithms in neurodiagnostics.
10.1152/jn.00404.2023 · ExternalCitation · doi-reference
Artificial intelligence in healthcare: an essential guide for health leaders.
10.1177/0840470419873123 · ExternalCitation · doi-reference
Digital mental health: role of artificial intelligence in psychotherapy.
10.1177/09727531231221612 · ExternalCitation · doi-reference
Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005-2018.
10.1186/s12888-023-05109-9 · ExternalCitation · doi-reference
Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment.
10.1186/s40708-023-00188-6 · ExternalCitation · doi-reference
Knowledge mapping of global status and trends for Thromboangiitis obliterans: a Bibliometrics and visual analysis.
10.2147/jpr.s437521 · ExternalCitation · doi-reference
Machine learning in healthcare.
10.2174/1389202922666210705124359 · ExternalCitation · doi-reference
Interdisciplinary collaboration opportunities, challenges, and solutions for Artificial Intelligence in Ultrasound.
10.2174/1573405618666220321123126 · ExternalCitation · doi-reference
Acceptability and effectiveness of artificial intelligence therapy for anxiety and depression (Youper): longitudinal observational study.
10.2196/26771 · ExternalCitation · doi-reference
Evaluating the clinical feasibility of an artificial intelligence-powered, web-based clinical decision support system for the treatment of depression in adults: longitudinal feasibility study.
10.2196/31862 · ExternalCitation · doi-reference
Digital health literacy: bibliometric analysis.
10.2196/35816 · ExternalCitation · doi-reference
The evolution of artificial intelligence in biomedicine: bibliometric analysis.
10.2196/45770 · ExternalCitation · doi-reference
Privacy-preserving federated model predicting bipolar transition in patients with depression: prediction model development study.
10.2196/46165 · ExternalCitation · doi-reference
Effects of an artificial intelligence platform for behavioral interventions on depression and anxiety symptoms: randomized clinical trial.
10.2196/46781 · ExternalCitation · doi-reference
Screening for depression using natural language processing: literature review.
10.2196/55067 · ExternalCitation · doi-reference
The role of humanization and robustness of large language models in conversational artificial intelligence for individuals with depression: a critical analysis.
10.2196/56569 · ExternalCitation · doi-reference
Natural language processing for depression prediction on Sina Weibo: method study and analysis.
10.2196/58259 · ExternalCitation · doi-reference
Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): a randomized controlled trial.
10.2196/mental.7785 · ExternalCitation · doi-reference
Bibliometrics basics.
10.3163/1536-5050.103.4.013 · ExternalCitation · doi-reference
Oil bioremediation in the marine environment of Antarctica: a review and bibliometric keyword cluster analysis.
10.3390/microorganisms9020419 · ExternalCitation · doi-reference
Artificial intelligence and algorithmic bias: implications for health systems.
10.7189/jogh.09.020318 · ExternalCitation · doi-reference
Depression.
10.7326/aitc202105180 · ExternalCitation · doi-reference
