Abstract
No public abstract is available from the verified source records.
Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureJehad Feras AlSamhori, Abdel Rahman F. AlSamhori, Rama Mezyad Amourah, Hazim Aldweik, Ahmad Feras AlSamhori, Leen M Holy, Rihane Zakraoui, Sawsan H Alomari, Awni D. Shahait
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
The ever-increasing importance of cancer as a leading cause of premature death worldwide
10.1002/cncr.33587 · 2021
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
10.3322/caac.21834 · 2024
Unresolved referenced work
Kept as external metadata until matched
Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023
10.1016/s0140-6736(25)01637-x · 2025
Digital pathology and AI: enhancing molecular diagnostics in low- and middle-income countries
10.1080/14737159.2025.2581687 · 2025
The role of telepathology in improving cancer diagnostic and research capacity in sub-Saharan Africa
10.3389/fmed.2022.978245 · 2022
Challenges in implementing a digital pathology workflow in surgical pathology
10.1016/j.hpr.2022.300673 · 2022
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
10.1186/s12909-023-04698-z · 2023
Precision medicine, AI, and the future of personalized health care
Provenance
crossref
Confidence 100%
openalex
Confidence 95%
datacite
Confidence 0%
10.1111/cts.12884 · 2021
Artificial intelligence radiogenomics for advancing precision and effectiveness in oncologic care (review)
10.3892/ijo.2020.5063 · 2020
Unresolved referenced work
Kept as external metadata until matched
Large language models in colorectal cancer care and clinical decision support: systematic review
10.2196/89862 · 2026
A complete survey on LLM-based AI chatbots
10.48550/arxiv.2406.16937 · 2024
Comparison of rule-based chat bots with different machine learning models
10.1016/j.procs.2025.04.030 · 2025
Applications of artificial intelligence for cancer patient education
10.1007/s13187-024-02471-4 · 2025
Evidence-based analysis of AI chatbots in oncology patient education: implications for trust, perceived realness, and misinformation management
10.1007/s13187-025-02592-4 · 2025
Human-computer collaboration for skin cancer recognition
10.1038/s41591-020-0942-0 · 2020
Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study
10.1016/s1470-2045(19)30333-x · 2019
Artificial intelligence in oncology: current landscape, challenges, and future directions
10.1158/2159-8290.cd-23-1199 · 2024
Artificial intelligence for clinical oncology
10.1016/j.ccell.2021.04.002 · 2021
Exploring AI approaches for breast cancer detection and diagnosis: a review article
10.2147/bctt.s550307 · 2025
Comparison of the diagnostic performance of magnetic resonance imaging (MRI), ultrasound and mammography for detection of breast cancer based on tumor type, breast density and patient's history: a review
10.1016/j.radi.2022.01.006 · 2022
Digital breast tomosynthesis: update on technology, evidence, and clinical practice
10.1148/rg.2021200101 · 2021
Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study. The
10.1016/s2589-7500(24)00267-x · 2025
Artificial intelligence in women's cancers: innovation and challenges in clinical translation
10.1016/j.landig.2025.100940 · 2025
Advancing the frontier of artificial intelligence on emerging technologies to redefine cancer diagnosis and care
10.1016/j.compbiomed.2025.110178 · 2025
Artificial intelligence index report
10.48550/arxiv.2504.07139 · 2025
MM-LLMs: recent advances in multiModal large language models
10.48550/arxiv.2401.13601 · 2024
Large language models in patient education: a scoping review of applications in medicine
10.3389/fmed.2024.1477898 · 2024
A literature review on the role of artificial intelligence-based chatbots in patient education in colorectal surgery
10.1016/j.surg.2025.109393 · 2025
Accuracy and usability of artificial intelligence chatbot generated chemotherapy protocols
10.2217/fon-2023-0950 · 2026
Evaluation of cancer survivors’ experience of using AI-based conversational tools: qualitative study
10.2196/77390 · 2025
Patients-centered SurvivorShIp care plan after Cancer treatments based on Big Data and Artificial Intelligence technologies (PERSIST): a multicenter study protocol to evaluate efficacy of digital tools supporting cancer survivors
10.1186/s12911-021-01603-w · 2021
Large language model for interpreting the Paris classification of colorectal polyps
10.1055/a-2703-0209 · 2025
Chatbot implementation to collect data on possible COVID-19 cases and release the pressure on the primary health care system
10.1109/iemcon51383.2020.9284846 · 2020
Perceptions and needs for a technology-based dyadic intervention on symptom management among patients with colorectal cancer and their caregivers: a qualitative study
10.1097/ncc.0000000000001429 · 2026
Using a chatbot to reduce emergency department visits and unscheduled hospitalizations among patients with gynecologic malignancies during chemotherapy: a retrospective cohort study
10.1016/j.heliyon.2023.e15798 · 2023
Delay in seeking advice for symptoms that potentially indicate bowel cancer
10.5993/ajhb.27.4.12 · 2003
Symptom predictability in gastroesophageal reflux disease and role of proton pump inhibitor test
10.1016/j.gtc.2013.11.002 · 2014
A wearable chatbot-based model for monitoring colorectal cancer patients in the active phase of treatment
10.1016/j.health.2023.100257 · 2023
A human-centered hybrid AI framework for optimizing emergency triage in resource-constrained settings
10.1016/j.ibmed.2025.100311 · doi-reference
Prospect of artificial intelligence based on electronic medical record
10.12997/jla.2021.10.3.282 · doi-reference
Proceed with caution when using real world data and real world evidence
10.3346/jkms.2019.34.e28 · doi-reference
Real-world evidence versus randomized controlled trial: clinical research based on electronic medical records
10.3346/jkms.2018.33.e213 · doi-reference
The use of chatbots in oncological care: a narrative review
10.2147/ijgm.s408208 · doi-reference
Trust in the health care professional and health outcome: a meta-analysis
10.1371/journal.pone.0170988 · doi-reference
Patients' trust in physicians: many theories, few measures, and little data
10.1046/j.1525-1497.2000.11002.x · doi-reference
Patient wisdom should be incorporated into health AI to avoid algorithmic paternalism
10.1038/s41591-023-02224-8 · doi-reference
Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine
10.1016/j.ebiom.2023.104512 · doi-reference
Ethical and regulatory challenges of AI technologies in healthcare: a narrative review
10.1016/j.heliyon.2024.e26297 · doi-reference
User privacy harms and risks in conversational AI: a proposed framework
10.48550/arxiv.2402.09716 · doi-reference
Developing a digital training tool to support oncologists in the skill of information-provision: a user centred approach
10.1186/s12909-020-1985-0 · doi-reference
Security implications of AI chatbots in health care
10.2196/47551 · doi-reference
Assessing ChatGPT’s ability to reply to queries regarding colon cancer screening based on multisociety guidelines
10.1016/j.gastha.2023.07.008 · doi-reference
Evaluating AI in medicine: a comparative analysis of expert and ChatGPT responses to colorectal cancer questions
10.1038/s41598-024-52853-3 · doi-reference
ChatGPT answers common patient questions about colonoscopy
10.1053/j.gastro.2023.04.033 · doi-reference
How appropriate are answers of online chat-based artificial intelligence (ChatGPT) to common questions on colon cancer?
10.1016/j.surg.2023.06.005 · doi-reference
Applicability of online chat-based artificial intelligence models to colorectal cancer screening
10.1007/s10620-024-08274-3 · doi-reference
Accuracy and consistency of publicly available large language models as clinical decision support tools for the management of colon cancer
10.1002/jso.27821 · doi-reference
Comparing the management recommendations of large language model and colorectal cancer multidisciplinary team: a pilot study
10.1097/dcr.0000000000003504 · doi-reference
AI at the forefront: navigating oncologic care for six gastrointestinal cancers according to the NCCN guidelines utilizing Gemini-1.0 Ultra and ChatGPT-4
10.1002/jso.70005 · doi-reference
Health misinformation detection: approaches, challenges and opportunities
10.1177/00469580251384784 · doi-reference
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support
10.1038/s43856-025-01021-3 · doi-reference
Use of artificial intelligence chatbots for cancer treatment information
10.1001/jamaoncol.2023.2954 · doi-reference
Knowledge, attitudes, and practices regarding chatbots among healthcare professionals in a tertiary care hospital
10.22159/ajpcr.2024v17i11.52355 · doi-reference
Facilitators and barriers to AI adoption in nursing practice: a qualitative study of registered nurses' perspectives
10.1186/s12912-024-02571-y · doi-reference
Colorectal cancer prevention: Is Chat generative pretrained transformer (Chat GPT) ready to assist physicians in determining appropriate screening and surveillance recommendations?
10.1097/mcg.0000000000001979 · doi-reference
How the perceived substitution of AI technology hinders nurses' innovation behavior: the mediating role of AI anxiety and human-AI cooperation intention and the moderating role of organizational AI readiness
10.1186/s12912-025-03265-9 · doi-reference
Readability of custom chatbot vs. GPT-4 responses to otolaryngology-related patient questions
10.1016/j.amjoto.2025.104717 · doi-reference
Transcending language barriers: can ChatGPT be the key to enhancing multilingual accessibility in health care?
10.1016/j.jacr.2024.05.009 · doi-reference
How appropriately can generative artificial intelligence platforms, including GPT-4, Gemini, Bing, and Wrtn, answer questions about colon cancer in the Korean language?
10.3393/ac.2024.00122.0017 · doi-reference
A multilingual chatbot can effectively engage arthroplasty patients who have limited English proficiency
10.1016/j.arth.2023.04.014 · doi-reference
Appropriateness and comprehensiveness of using ChatGPT for perioperative patient education in thoracic surgery in different language contexts: survey study
10.2196/46900 · doi-reference
Language ranker: a metric for quantifying LLM performance across high and low-resource languages
10.48550/arxiv.2404.11553 · doi-reference
Evaluating free legal translation tools between Arabic and English: a comparative study of Google Translate, ChatGPT, and Gemini
10.1007/s11196-025-10282-z · doi-reference
Usage of multilingual mobile translation applications in clinical settings
10.2196/mhealth.2268 · doi-reference
Implications of language barriers for healthcare: a systematic review
10.5001/omj.2020.40 · doi-reference
Understanding the challenges of language barriers in healthcare
10.61838/kman.isslp.3.3.5 · doi-reference
A systematic review of the economic burden of colorectal cancer
10.1002/hsr2.70002 · doi-reference
Comprehensive application of artificial intelligence in colorectal cancer: a review
10.1016/j.isci.2025.112980 · doi-reference