Quality matters: Artificial intelligence-based assessment of feedback quality predicts technical skill improvement.

Introduction: Consistently delivering high-quality feedback is critical, yet challenging, in surgical education. We hypothesized that feedback quality, as assessed by artificial intelligence (AI, Teach1) based-tools, would correlate with improvements in technical skill acquisition during simulated paracentesis training.

Methods: Seventy-five fourth-year medical students meeting inclusion criteria (baseline Objective Structured Assessment of Technical Skills scores ≤20) performed paracentesis on simulators, received instructor feedback via a digital platform, and completed a second attempt.

Asynchronous Technical Feedback: A Workshop for Training Surgical Instructors.

Introduction: Asynchronous learning is an efficient method for surgical trainees to gain technical skills by practicing in low-stakes and convenient settings. Effective asynchronous learning requires feedback. Prior work has highlighted the need to train surgical instructors in providing asynchronous technical feedback, as this involves unique skills related to giving feedback on learners' videos.

International expert consensus on the current status and future prospects of artificial intelligence in metabolic and bariatric surgery.

Artificial intelligence (AI) is transforming the landscape of medicine, including surgical science and practice. The evolution of AI from rule-based systems to advanced machine learning and deep learning algorithms has opened new avenues for its application in metabolic and bariatric surgery (MBS). AI has the potential to enhance various aspects of MBS, including education and training, decision-making, procedure planning, cost and time efficiency, optimization of surgical techniques, outcome and complication prediction, patient education, and access to care.

Design and validation of a simulation-based training module for ileo-transverse intracorporeal anastomosis.

Background: The benefits of the totally laparoscopic right hemicolectomy have been established, but its adoption has been limited by the challenges of intracorporeal suturing. While simulation is effective for training advanced surgical skills, no dedicated simulation-based course exists for intracorporeal ileo-transverse anastomosis (ICA). This study aimed to develop and validate a simulation module for training in ICA.