Results 121 to 130 of about 13,956 (306)
Construction of a Feedback Comment Analysis Model for Evaluation of Endoscopic Surgical Skill
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Background Surgical education and skill assessments are important in improving surgical skills. However, instructors' comments tend to be complex and unorganized, with varying content and categories. This study aimed to develop a natural language processing (NLP) model to automatically classify feedback comments on surgical procedures and ...
Shusaku Iwai +7 more
wiley +1 more source
Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?
Annals of Gastroenterological Surgery, EarlyView.ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh +3 more
wiley +1 more source
METHODOLOGICAL ASPECTS OF THE DEVELOPMENT AND USE OF A MASSIVE OPEN ONLINE COURSE ON THE DISCIPLINE "HUMAN ANATOMY AND MORPHOLOGY" IN PEDAGOGICAL UNIVERSITIES [PDF]
T.Yu. Kolpakova, M.K. Sinitsina
openalex +1 more source
Open pedagogy practices: a case study in undergraduate education
, 2020 Gigliola Paviotti +3 more
openalex +2 more sources
CONTENT MARKETING FOR IN-SERVICE EDUCATION OF PEDAGOGICAL STAFF IN OPEN EDUCATION
, 2023 N.I. Klokar +2 more
openalex +1 more source
Annals of Gastroenterological Surgery, EarlyView.This study evaluated the educational impact of artificial intelligence (AI)‐navigation surgery that provides real‐time anatomical landmark recognition during laparoscopic cholecystectomy for medical students. Thirty students were randomized into surgeon‐guided, self‐learning, and AI‐learning groups, and their performance was assessed using Dice ...
Shigeo Ninomiya +8 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source