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Performance of 3 Conversational Generative Artificial Intelligence Models for Computing Maximum Safe Doses of Local Anesthetics: Comparative Analysis

Furthermore, all models underperformed when tasked with calculating doses for LA mixtures, a common practice in anesthesiology, indicating their current inadequacies in complex clinical scenarios [25]. These findings align with previous research that has questioned the reliability of AI in critical medical applications.

Mélanie Suppan, Pietro Elias Fubini, Alexandra Stefani, Mia Gisselbaek, Caroline Flora Samer, Georges Louis Savoldelli

JMIR AI 2025;4:e66796

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Enhancing Access to Neuraxial Ultrasound Phantoms for Medical Education of Pediatric Anesthesia Trainees: Tutorial

anesthesiologyEducation and Training in Anesthesiology

Leah Webb, Melissa Masaracchia, Kim Strupp

JMIR Med Educ 2025;11:e63682

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Impact of a 3-Month Recall Using High-Fidelity Simulation or Screen-Based Simulation on Learning Retention During Neonatal Resuscitation Training for Residents in Anesthesia and Intensive Care: Randomized Controlled Trial

Volunteer participants were recruited from third-, fourth-, and fifth-year anesthesiology and intensive care residency classes in Reims. None had previous courses or training in neonatal resuscitation. They were informed about the study via email from the teaching supervisor (DM). To confirm their participation, they had to ensure that they could be present at all times during the study (ie, 3 and 6 months). The experimental design is summarized in Figure 1. Experimental design.

Anne-Claire Louvel, Cécile Dopff, Gauthier Loron, Daphne Michelet

JMIR Serious Games 2025;13:e57057

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Implementation of Brief Submaximal Cardiopulmonary Testing in a High-Volume Presurgical Evaluation Clinic: Feasibility Cohort Study

anesthesiology

Zyad James Carr, Daniel Agarkov, Judy Li, Jean Charchaflieh, Andres Brenes-Bastos, Jonah Freund, Jill Zafar, Robert B Schonberger, Paul Heerdt

JMIR Perioper Med 2025;8:e65805

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Electronic Feedback Alone Versus Electronic Feedback Plus in-Person Debriefing for a Serious Game Designed to Teach Novice Anesthesiology Residents to Perform General Anesthesia for Cesarean Delivery: Randomized Controlled Trial

Noninclusion criteria included refusal to participate and prior postgraduate anesthesiology training. In our anesthesiology residency program, 2 CA-1 residents are assigned to rotate for the first time on the labor and delivery unit, beginning in the third month of CA-1 year.

Allison Lee, Stephanie Goodman, Chen Miao Chen, Ruth Landau, Madhabi Chatterji

JMIR Serious Games 2024;12:e59047

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Impact of Video-Based Error Correction Learning for Cardiopulmonary Resuscitation Training: Quasi-Experimental Study

For anesthesiology residents, the likelihood of administering CPR is high, and thus CPR training is of utmost importance [4]. Unfortunately, due to limited training quality and efficiency, the overall quality of CPR remains low, which may further lead to undesired outcomes in clinical practice [5,6]. Thus, CPR instruction modalities are needed to improve the quality of CPR training of anesthesiology residents to maximize their performance.

Yun Wang, Junzuo Fu, Shaoping Wang, Huijuan Wang, Wei Gao, Lina Huang

JMIR Serious Games 2024;12:e53577

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Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study

Given the emergence and development of Chat GPT, it is crucial to examine the knowledge levels and reasoning abilities of AI language models in the fields of anesthesiology and pain medicine in Korea to estimate their potential to aid medical professionals. However, to date, no study has explored the performance of Chat GPT in the fields of anesthesiology and pain medicine in a Korean language context.

Soo-Hyuk Yoon, Seok Kyeong Oh, Byung Gun Lim, Ho-Jin Lee

JMIR Med Educ 2024;10:e56859

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Comparing Anesthesia and Surgery Controlled Time for Primary Total Knee and Hip Arthroplasty Between an Academic Medical Center and a Community Hospital: Retrospective Cohort Study

The University of Colorado Department of Anesthesiology staffs both the AMC and CH with an anesthesia care-team model consisting of supervising attending physicians and anesthesia providers such as certified registered nurse anesthetists, anesthesiology assistants (AAs), or anesthesiology resident physicians-in-training. The academic center also has student AAs who often work alongside certified registered nurse anesthetists and AAs.

Thy B Nguyen, Nathaen Weitzel, Craig Hogan, Rachel M Kacmar, Kayla M Williamson, Jack Pattee, Vesna Jevtovic-Todorovic, Colby G Simmons, Adeel Ahmad Faruki