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Comparison of Diagnostic and Triage Accuracy of Ada Health and WebMD Symptom Checkers, ChatGPT, and Physicians for Patients in an Emergency Department: Clinical Data Analysis Study
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.258.1.67openalex-snapshot
DXplain. An evolving diagnostic decision-support system
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Comparison of Physician and Computer Diagnostic Accuracy
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Assessment of Diagnosis and Triage in Validated Case Vignettes Among Nonphysicians Before and After Internet Search
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AI in Medicine: Some Pertinent History
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Evaluating the Feasibility of ChatGPT in Healthcare: An Analysis of Multiple Clinical and Research Scenarios
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Large language model AI chatbots require approval as medical devices
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Performance of ChatGPT as an AI-assisted decision support tool in medicine: a proof-of-concept study for interpreting symptoms and management of common cardiac conditions (AMSTELHEART-2)
inferredcites →https://doi.org/10.1080/02763869.2011.562800openalex-snapshot
Isabel, a Clinical Decision Support System
inferredcites →https://doi.org/10.1101/2023.01.30.23285067openalex-snapshot
The Diagnostic and Triage Accuracy of the GPT-3 Artificial Intelligence Model
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ChatGPT for Clinical Vignette Generation, Revision, and Evaluation
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Evaluation of symptom checkers for self diagnosis and triage: audit study
inferredcites →https://doi.org/10.1136/bmjopen-2020-040269openalex-snapshot
How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs
inferredcites →https://doi.org/10.1177/1024907919842486openalex-snapshot
Triage accuracy of online symptom checkers for Accident and Emergency Department patients
inferredcites →https://doi.org/10.1371/journal.pone.0254088openalex-snapshot
Accuracy of online symptom checkers and the potential impact on service utilisation
inferredcites →https://doi.org/10.1371/journal.pone.0260696openalex-snapshot
Performance of a new symptom checker in patient triage: Canadian cohort study
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Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation
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Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study
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Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study
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The quality of diagnosis and triage advice provided by free online symptom checkers and apps in Australia
inferredcites →https://doi.org/10.5811//westjem.2019.8.44230openalex-snapshot
Identifying Emergency Department Symptom-Based Diagnoses with the Unified Medical Language System
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Artificial Hallucinations in ChatGPT: Implications in Scientific Writing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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ЗАСТОСУВАННЯ ШТУЧНОГО ІНТЕЛЕКТУ В КЛІНІЧНІЙ МЕДИЦИНІ, НАУКОВИХ ДОСЛІДЖЕННЯХ ТА ОСВІТІ В УМОВАХ ВОЄННОГО СТАНУ
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ВИКОРИСТАННЯ ШТУЧНОГО ІНТЕЛЕКТУ В КЛІНІЧНІЙ МЕДИЦИНІ Й НАУКОВИХ ДОСЛІДЖЕННЯХ
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inferred← citeshttps://doi.org/10.5772/intechopen.1011663openalex-snapshot
State of the Art of Knowledge on Applications of Artificial Intelligence in Urology
inferred← citeshttps://doi.org/10.64898/2026.09.01.26361908openalex-snapshot
Are Frontier Large Language Models Safer Than Government-Backed Symptom Checkers for Clinical Self-Triage? A Standardised Vignette Evaluation
inferred← citeshttps://doi.org/10.7759/cureus.109257openalex-snapshot
Generative Artificial Intelligence as a First Responder in Adolescent Testicular Torsion: A Case Report
inferred← citeshttps://doi.org/10.7759/cureus.53899openalex-snapshot
Performance of Artificial Intelligence (AI)-Powered Chatbots in the Assessment of Medical Case Reports: Qualitative Insights From Simulated Scenarios
inferred← citeshttps://doi.org/10.7759/cureus.73127openalex-snapshot
The Utility and Limitations of Artificial Intelligence-Powered Chatbots in Healthcare
inferred← citeshttps://doi.org/10.7759/cureus.77258openalex-snapshot
Is ChatGPT a Reliable Tool for Explaining Medical Terms?
inferred← citeshttps://doi.org/10.7759/cureus.81802openalex-snapshot
A Practical Guide to the Utilization of ChatGPT in the Emergency Department: A Systematic Review of Current Applications, Future Directions, and Limitations
inferred← citeshttps://doi.org/10.7759/cureus.97449openalex-snapshot
Evaluating Large Language Models in the Image-Based Diagnosis of Intracranial Tumors
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