AIMC Topic: Clinical Competence

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Artificial intelligence assessment of tissue-dissection efficiency in laparoscopic colorectal surgery.

Langenbeck's archives of surgery
PURPOSE: Several surgical-skill assessment tools emphasize the importance of efficient tissue-dissection, whose assessment relies on human judgment and is thus subject to bias. Automated assessment may help solve this problem. This study aimed to ver...

Artificial intelligence versus neurologists: A comparative study on multiple sclerosis expertise.

Clinical neurology and neurosurgery
INTRODUCTION: Multiple sclerosis (MS) is an autoimmune neurodegenerative disease affecting the central nervous system. MS diagnosis is complex, requiring magnetic resonance imaging and cerebrospinal fluid analysis due to the lack of definitive biomar...

AI-powered standardised patients: evaluating ChatGPT-4o's impact on clinical case management in intern physicians.

BMC medical education
BACKGROUND: Artificial Intelligence is currently being applied in healthcare for diagnosis, decision-making and education. ChatGPT-4o, with its advanced language and problem-solving capabilities, offers an innovative alternative as a virtual standard...

The diagnostic performance of automatic B-lines detection for evaluating pulmonary edema in the emergency department among novice point-of-care ultrasound practitioners.

Emergency radiology
PURPOSE: B-lines in lung ultrasound have been a critical clue for detecting pulmonary edema. However, distinguishing B-lines from other artifacts is a challenge, especially for novice point of care ultrasound (POCUS) practitioners. This study aimed t...

Which current chatbot is more competent in urological theoretical knowledge? A comparative analysis by the European board of urology in-service assessment.

World journal of urology
INTRODUCTION: The European Board of Urology (EBU) In-Service Assessment (ISA) test evaluates urologists' knowledge and interpretation. Artificial Intelligence (AI) chatbots are being used widely by physicians for theoretical information. This researc...

Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions.

Journal of surgical education
OBJECTIVE: Recent studies investigated the potential of large language models (LLMs) for clinical decision making and answering exam questions based on text input. Recent developments of LLMs have extended these models with vision capabilities. These...

Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
PURPOSE: This clinical trial examined how the articifial intelligence (AI)-based diagnostics system S-Detect for Thyroid influences the ultrasound diagnostic work-up of thyroid ultrasound (US) performed by different US users in clinical practice and ...

GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial.

Nature medicine
While large language models (LLMs) have shown promise in diagnostic reasoning, their impact on management reasoning, which involves balancing treatment decisions and testing strategies while managing risk, is unknown. This prospective, randomized, co...