AIMC Topic: Clinical Competence

Clear Filters Showing 161 to 170 of 613 articles

Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the American Board of Anesthesiology Examination.

Anesthesia and analgesia
BACKGROUND: Over the past decade, artificial intelligence (AI) has expanded significantly with increased adoption across various industries, including medicine. Recently, AI-based large language models such as Generative Pretrained Transformer-3 (GPT...

The Role of Artificial Intelligence in Medical Education: A Systematic Review.

Surgical innovation
BACKGROUND: To examine the artificial intelligence (AI) tools currently being studied in modern medical education, and critically evaluate the level of validation and the quality of evidence presented in each individual study.

The virtual reference radiologist: comprehensive AI assistance for clinical image reading and interpretation.

European radiology
OBJECTIVES: Large language models (LLMs) have shown potential in radiology, but their ability to aid radiologists in interpreting imaging studies remains unexplored. We investigated the effects of a state-of-the-art LLM (GPT-4) on the radiologists' d...

Effectiveness of AI-powered Chatbots in responding to orthopaedic postgraduate exam questions-an observational study.

International orthopaedics
PURPOSE: This study analyses the performance and proficiency of the three Artificial Intelligence (AI) generative chatbots (ChatGPT-3.5, ChatGPT-4.0, Bard Google AIĀ®) and in answering the Multiple Choice Questions (MCQs) of postgraduate (PG) level or...

Google Gemini and Bard artificial intelligence chatbot performance in ophthalmology knowledge assessment.

Eye (London, England)
PURPOSE: With the popularization of ChatGPT (Open AI, San Francisco, California, United States) in recent months, understanding the potential of artificial intelligence (AI) chatbots in a medical context is important. Our study aims to evaluate Googl...

One-shot skill assessment in high-stakes domains with limited data via meta learning.

Computers in biology and medicine
Deep Learning (DL) has achieved robust competency assessment in various high-stakes fields. However, the applicability of DL models is often hampered by their substantial data requirements and confinement to specific training domains. This prevents t...

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot.

Journal of robotic surgery
Robotic surgery offers potential advantages over laparoscopic procedures, but the training for configuring robotic systems in the operating room remains underexplored. This study seeks to validate immersive virtual reality (IVR) headset training for ...

Operating under the influence: the effect of alcohol on operative performance using a virtual robotic training platform-an experimental comparative cohort study.

Journal of robotic surgery
An elevated percentage of medical personnel reports using alcohol to relieve stress. Levels of alcohol addiction are almost double that of the general population. Robotic surgery is becoming more widespread. The purpose of this study is to evaluate t...

The deconstructed procedural description in robotic colorectal surgery.

Journal of robotic surgery
Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the need for standardised training. Deconstructed procedural descriptions identify components of an operation that can be integrated into proficiency-based...

Influence of artificial intelligence on the diagnostic performance of endoscopists in the assessment of Barrett's esophagus: a tandem randomized and video trial.

Endoscopy
BACKGROUND: This study evaluated the effect of an artificial intelligence (AI)-based clinical decision support system on the performance and diagnostic confidence of endoscopists in their assessment of Barrett's esophagus (BE).