Articles: anesthesiology.
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Randomized Controlled Trial
Continuing medical education for attending physicians in anesthesia: Feasibility of an innovative blended learning approach.
Continuing medical education plays a pivotal role in fostering and upholding the standard of excellence in medicine. Both SPOC (small private online course) and BOPPPS (bridge-in, learning objective, pretest, participatory learning, posttest, and summary) methodologies are rooted in the same educational and learning theories, emphasizing active student engagement, interaction, and feedback. Using ultrasound-guided spinal anesthesia as an exemplar, we aimed to investigate the feasibility of blended teaching (combination of BOPPPS and SPOC) for anesthesiology clinicians and explore trainees' and trainers' perspectives towards the innovative method. ⋯ Suggestions for enhancement included enhanced online interactivity with trainers and the inclusion of case analysis. Integration of blended teaching incorporating BOPPPS and SPOC methodologies holds promise for enhancing the efficiency of skill training among anesthesiologists. Blended learning may become a viable and well-received option among anesthesia clinicians in China.
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Anesthesia and analgesia · Apr 2024
Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the American Board of Anesthesiology Examination.
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-3), Bard, and Generative Pretrained Transformer-3 (GPT-4) have demonstrated remarkable language capabilities. While previous studies have explored their potential in general medical knowledge tasks, here we assess their clinical knowledge and reasoning abilities in a specialized medical context. ⋯ GPT-4 outperformed GPT-3 and Bard on both basic and advanced sections of the written ABA examination, and actual board examiners considered GPT-4 to have a reasonable possibility of passing the real oral examination; these models also exhibit varying degrees of proficiency across distinct topics.