Search Articles

View query in Help articles search

Search Results (1 to 10 of 48 Results)

Download search results: CSV END BibTex RIS


Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

Generating Artificial Patients With Reliable Clinical Characteristics Using a Geometry-Based Variational Autoencoder: Proof-of-Concept Feasibility Study

Given the multiplicity and complexity of the data obtained in anesthesia, this statistical approach using artificially augmented data could be of major interest to identify predictive clinical factors of poor outcomes with accuracy and reliability. Thus, the aim of our study was to test the feasibility of generating artificial patients with reliable clinical characteristics by using a VAE applied on HDLSS tabular data.

Fabrice Ferré, Stéphanie Allassonnière, Clément Chadebec, Vincent Minville

J Med Internet Res 2025;27:e63130

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation

Patients who underwent general anesthesia surgery from March 1, 2009, to December 31, 2019, at seven academic hospitals of the Catholic University of Korea (Seoul St. Mary’s, Yeouido St. Mary’s, Uijeongbu St. Mary’s, Eunpyeong St. Mary’s, Bucheon St. Mary’s, St. Vincent, and Incheon St. Mary’s Hospitals) were included.

Ji Won Min, Jae-Hong Min, Se-Hyun Chang, Byung Ha Chung, Eun Sil Koh, Young Soo Kim, Hyung Wook Kim, Tae Hyun Ban, Seok Joon Shin, In Young Choi, Hye Eun Yoon

J Med Internet Res 2025;27:e62853

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

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

Anesthesia and intensive care physicians may need to intervene when a pediatrician is not immediately available, for instance, to assist with intubation. Therefore, we decided to train and prepare our residents for such scenarios. Screen-based simulation is an emerging simulation-based training tool for health care professionals, ensuring comparable learning effectiveness to traditional learning methods [4].

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

JMIR Serious Games 2025;13:e57057

Current Clinical and Educational Uses of Immersive Reality in Anesthesia: Narrative Review

Current Clinical and Educational Uses of Immersive Reality in Anesthesia: Narrative Review

Technical characteristics and practical considerations for commonly available immersive reality head-mounted displays (HMDs) used in anesthesia.

Andrew Fleet, Lilia Kaustov, Elio BR Belfiore, Bill Kapralos, Clyde Matava, Julian Wiegelmann, Peter Giacobbe, Fahad Alam

J Med Internet Res 2025;27:e62785

Preoperative Anxiety Management Practices in Pediatric Anesthesia: Comparative Analysis of an Online Survey Presented to Experts and Social Media Users

Preoperative Anxiety Management Practices in Pediatric Anesthesia: Comparative Analysis of an Online Survey Presented to Experts and Social Media Users

Although “no fear” is the first of the “10-N quality criteria” in pediatric anesthesia, preoperative anxiety remains prevalent [1,2]. It is evident that high levels of anxiety are associated with decreased cooperativeness during induction of anesthesia, increased postoperative analgesic requirements, increased rates of postoperative delirium, and maladaptive behavioral problems [3,4]. Therefore, it is crucial to keep anxiety levels low.

Armin Sablewski, Christine Eimer, Marcus Nemeth, Clemens Miller

JMIR Pediatr Parent 2025;8:e64561

Faculty Perceptions on the Roles of Mentoring, Advising, and Coaching in an Anesthesiology Residency Program: Mixed Methods Study

Faculty Perceptions on the Roles of Mentoring, Advising, and Coaching in an Anesthesiology Residency Program: Mixed Methods Study

Respondents had mixed responses about whether the national anesthesia provider shortage had impacted their engagement with or performance of any of these roles. Respondents noted lack of time in general, and lack of protected time more specifically, as factors influencing their ability to engage in these roles, and some attributed the challenge with time to provider shortage.

Sydney Nykiel-Bailey, Kathryn Burrows, Bianca E Szafarowicz, Rachel Moquin

JMIR Med Educ 2025;11:e60255

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

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

Because of the precipitous declines in trainee clinical exposure to performing general anesthesia for cesarean delivery [20], in 2016, we developed Emergen CSim, a novel researcher-developed serious 3 D video game (SG) that reproduces the environment of an obstetric operating room with an embedded scoring and debriefing tool [8]. The learner, via an avatar, must perform general anesthesia for emergent cesarean delivery for the clinical scenario of umbilical cord prolapse.

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

JMIR Serious Games 2024;12:e59047

Factors Influencing Neuromuscular Blockade Reversal Choice in the United States Before and During the COVID-19 Pandemic: Retrospective Longitudinal Analysis

Factors Influencing Neuromuscular Blockade Reversal Choice in the United States Before and During the COVID-19 Pandemic: Retrospective Longitudinal Analysis

A more in-depth assessment may reveal subtle changes in anesthesia practice as hospitals transitioned from early to late COVID-19 eras. This study analyzes NMB reversal agent use patterns for US adult inpatient surgeries before and after the COVID-19 outbreak to determine whether pandemic-related practice changes affected use trends established before COVID-19.

Vladimir Turzhitsky, Lori D Bash, Richard D Urman, Michael Kattan, Ira Hofer

JMIR Perioper Med 2024;7:e52278

Postsurgical Pain Risk Stratification to Enhance Pain Management Workflow in Adult Patients: Design, Implementation, and Pilot Evaluation

Postsurgical Pain Risk Stratification to Enhance Pain Management Workflow in Adult Patients: Design, Implementation, and Pilot Evaluation

Perioperative health care is being optimized through enhanced recovery after surgery (ERAS) pathways [4-6], multimodal analgesic plans [5,7,8], and regional anesthesia techniques [9]. Further opportunities to improve postsurgical pain trajectories are offered by prehabilitation programs [10-12], our developing understanding of the risks of persistent postsurgical pain [13-17], and the feasibility of accessing and analyzing large volumes of data.

Matthias Görges, Jonath Sujan, Nicholas C West, Rama Syamala Sreepada, Michael D Wood, Beth A Payne, Swati Shetty, Jean P Gelinas, Ainsley M Sutherland

JMIR Perioper Med 2024;7:e54926

Exploring Anesthesia Provider Preferences for Precision Feedback: Preference Elicitation Study

Exploring Anesthesia Provider Preferences for Precision Feedback: Preference Elicitation Study

We conducted this study in the context of anesthesia care quality improvement. In this context, data generated about care processes are produced primarily by anesthesia machines that report the administration of anesthetics and the patient’s corresponding state with relatively high accuracy and reliability. Attribution of performance to individual anesthesia providers is feasible due to their authenticated use of an anesthesia machine for each operative case.

Zach Landis-Lewis, Chris A Andrews, Colin A Gross, Charles P Friedman, Nirav J Shah

JMIR Med Educ 2024;10:e54071