ChatGPT
ChatGPT is a generative artificial intelligence chatbot and large language model studied in biomedical and health-care contexts as a source of information, an educational simulator, a clinical-reasoning aid, and a potential component of clinical decision support.
ChatGPT is a generative artificial intelligence chatbot and large language model studied in biomedical and health-care contexts as a source of information, an educational simulator, a clinical-reasoning aid, and a potential component of clinical decision support. The supplied literature includes evaluations of text-based ChatGPT, multimodal models for image interpretation, and ChatGPT Voice Mode. These applications place ChatGPT at the intersection of artificial intelligence, medical education, professional consultation, and patient-facing health information.
In the reported studies, ChatGPT was assessed using examination questions, dental images and diagnostic comparisons, clinical prediction tasks, readability and trust measures, and user surveys. Its medical relevance is therefore evaluative rather than pharmacological or biological: the research examines accuracy, sensitivity, specificity, concordance, clarity, clinical validity, and user perceptions when ChatGPT is applied to health-related tasks. The literature represented here primarily extends the themes of medical decision support, dental diagnostic accuracy, and urology clinical reasoning, while also addressing mental-health support and educational simulation.
- Generative AI in medicine: use and acceptance among professionals in orthopedics and traumatology: a survey-based analysis in Germany. PMID 42716991
Where the papers sit
9 papers study chatgpt directly. Those 9 are one subject: Generative AI in Medical Practice. Medical generative AI is being tested for diagnosis, examinations, image interpretation, education and health information. Accuracy varies by task, while clinician expertise, user trust and acceptance remain central to adoption. No way of splitting those 9 scores better than chance. 1 new direction follows.
ChatGPT becomes a relational and emotionally supportive interlocutor for people living with bipolar disorder
People living with bipolar disorder were the subjects of a study in which ChatGPT was used not merely for examination preparation, diagnosis, health-information retrieval, or educational simulation, but for self-reflection, symptom management, and treatment-related exploration 42657654Aug. The two participants described a progression from information seeking to personal and relational use, including distinct forms of emotional attachment and perceived therapeutic benefit. This extends the set’s account by positioning ChatGPT as an ongoing source of social and emotional support whose significance depends partly on the user’s psychological profile, rather than solely as an instrument for information, assessment, or training.
Recent Findings on ChatGPT
Generative AI in Medical Practice: ChatGPT performed usefully in medical examinations, dental chart interpretation, health-information responses, counseling simulations, and image-based assessment, but accuracy varied by task 42686188Sep42573794Aug42696739Sep42664144Aug42583889Aug. ChatGPT achieved 85.5% accuracy on European Board of Urology questions and 81% on Polish orthopedic examinations, while GPT-5 Thinking approached dental-student performance but remained below residents on several retrieval and synthesis tasks 42686188Sep42573794Aug42696739Sep. Image-based results diverged: teledentistry outperformed ChatGPT for dental caries, whereas cut-out prediction showed limited discrimination, substantial overprediction, and an AUC of 0.694 42632883Aug42541590Aug. Clinicians and students recognized practical value, but users also reported variable trust, conversational realism, completeness, and reliance on ChatGPT during urgent situations 42716991Sep42583889Aug42664144Aug42657654Aug. The findings support supervised educational and adjunctive use, while emphasizing clinical expertise, verification, ethical disclosure, safety mechanisms, external validation, and defined clinical boundaries 42696739Sep42664144Aug42573794Aug42541590Aug.
Written from 9 PubMed abstracts, each one cited by PMID above. Published: 2026-09-06. Last written: 2026-09-11 by GPT. Drafted by language models from published abstracts; not medical advice.