ArticleWiener klinische Wochenschrift2024
Delayed diagnosis of a transient ischemic attack caused by ChatGPT.
Article in Wiener klinische Wochenschrift, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Ethical Considerations in Personal Health Large Language Models.Journal of medical Internet research · 2026Article
- Article
- Artificial intelligence in genomic medicine: dispelling three myths.NPJ genomic medicine · 2026Article
- AI-driven Medical Care: Evaluation of Large Language Models in Generating Personalized Stroke Education Materials.Healthcare informatics research · 2026Article
- Multidisciplinary expert evaluation of large language models on questions regarding bariatric surgery: a comparative analysis of ERNIE Bot 4.0, ChatGPT-4, Claude 3 Opus, and Gemini Pro.Scientific reports · 2026Article
- Large language models provide unsafe answers to patient-posed medical questions.NPJ digital medicine · 2026Article
- Integrating Artificial Intelligence Competencies Across the Six ACGME Core Competencies: A Proposed Framework for Graduate Medical Education.Advances in medical education and practice · 2026Article
- Comparison of ChatGPT-4o and DeepSeek R1 in the Management of Ophthalmological Emergencies-An Analysis of Ten Fictional Case Vignettes.Journal of clinical medicine · 2025Article
- ChatGPT Applications in Heart Failure: Patient Education, Readability Enhancement, and Clinical Utility.Journal of cardiovascular development and disease · 2025Review
- Large Language Models in Neurological Practice: Real-World Study.Journal of medical Internet research · 2025Article
- Promises and challenges of artificial intelligence in haematological diagnostics.British journal of haematology · 2025Review
- Evaluating GPT-4's visual interpretation and clinical reasoning on emergency settings: A 5-year analysis.Journal of the Chinese Medical Association : JCMA · 2025Observational
- Foundation models in medicine are a social experiment: time for an ethical framework.NPJ digital medicine · 2025Article
- A retrospective evaluation of the potential of ChatGPT in the accurate diagnosis of acute stroke.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Article
- Assessing the Current Limitations of Large Language Models in Advancing Health Care Education.JMIR formative research · 2025Article
- Transforming clinical reasoning-the role of AI in supporting human cognitive limitations.Frontiers in digital health · 2025Review
- Review
- Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions.Journal of clinical medicine · 2024Review
- The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs).NPJ digital medicine · 2024Review
- The double-edged nature of ChatGPT in self-diagnosis.Wiener klinische Wochenschrift · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Techniques of artificial intelligence (AI) are increasingly used in the treatment of patients, such as providing a diagnosis in radiological imaging, improving workflow by triaging patients or providing an expert opinion based on clinical symptoms; however, such AI techniques also hold intrinsic risks as AI algorithms may point in the wrong direction and constitute a black box without explaining the reason for the decision-making process.This article outlines a case where an erroneous ChatGPT diagnosis, relied upon by the patient to evaluate symptoms, led to a significant treatment delay and a potentially life-threatening situation. With this case, we would like to point out the typical risks posed by the widespread application of AI tools not intended for medical decision-making.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.