AIMC Topic: Physicians
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Attitudes, Perceptions, and Factors Influencing the Adoption of AI in Health Care Among Medical Staff: Nationwide Cross-Sectional Survey Study.
Journal of medical Internet research
Aug 8, 2025
BACKGROUND: Artificial intelligence (AI) has demonstrated transformative potential in the health care field; yet, its clinical adoption faces challenges such as inaccuracy, bias, and data privacy concerns. As the primary operators of AI systems, phys...
Can AI match emergency physicians in managing common emergency cases? A comparative performance evaluation.
BMC emergency medicine
Jul 31, 2025
BACKGROUND: Large language models (LLMs) such as ChatGPT are increasingly explored for clinical decision support. However, their performance in high-stakes emergency scenarios remains underexamined. This study aimed to evaluate ChatGPT's diagnostic a...
Exploring doctors' perspectives on precision medicine and AI in colorectal cancer: opportunities and challenges for the doctor-patient relationship.
BMC medical informatics and decision making
Jul 30, 2025
BACKGROUND: Precision medicine and artificial intelligence (AI) are increasingly integrated into colorectal cancer (CRC) care, offering personalised treatment strategies and data-driven decision support. While these technologies promise improved outc...
AI search, physician removal: Bronchoscopy robot bridges collaboration in foreign body aspiration.
Science robotics
Jul 30, 2025
Bronchial foreign body aspiration is a life-threatening condition with a high incidence across diverse populations, requiring urgent diagnosis and treatment. However, the limited availability of skilled practitioners and advanced medical equipment in...
Innovative Mobile App (CPD By the Minute) for Continuing Professional Development in Medicine: Multimethods Study.
JMIR medical education
Jul 23, 2025
BACKGROUND: Many national medical governing bodies encourage physicians to engage in continuing professional development (CPD) activities to cultivate their knowledge and skills to ensure their clinical practice reflects the current standards and evi...
Materiality and practicality: a response to - are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
Journal of medical ethics
Jul 23, 2025
In his recent paper Hatherley discusses four reasons given to support mandatory disclosure of the use of machine learning technologies in healthcare, and provides counters to each of these reasons. While I agree with Hatherley's conclusion that such ...
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients?
Journal of medical ethics
Jul 23, 2025
It is commonly accepted that clinicians are ethically obligated to disclose their use of medical machine learning systems to patients, and that failure to do so would amount to a moral fault for which clinicians ought to be held accountable. Call thi...
Clinical Performance and Communication Skills of ChatGPT Versus Physicians in Emergency Medicine: Simulated Patient Study.
JMIR medical informatics
Jul 17, 2025
BACKGROUND: Emergency medicine can benefit from artificial intelligence (AI) due to its unique challenges, such as high patient volume and the need for urgent interventions. However, it remains difficult to assess the applicability of AI systems to r...
Comparison of physician and large language model chatbot responses to online ear, nose, and throat inquiries.
Scientific reports
Jul 1, 2025
Large language models (LLMs) can potentially enhance the accessibility and quality of medical information. This study evaluates the reliability and quality of responses generated by ChatGPT-4, an LLM-driven chatbot, compared to those written by physi...
A machine learning model using clinical notes to identify physician fatigue.
Nature communications
Jul 1, 2025
Clinical notes should capture important information from a physician-patient encounter, but they may also contain signals indicative of physician fatigue. Using data from 129,228 emergency department (ED) visits, we train a model to identify notes wr...
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