Results 221 to 230 of about 2,062,094 (395)
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
An investigation of the factors influencing college students' rural cultural preservation behaviors in the context of rural cultural revitalization: a hybrid SEM-ANN approach. [PDF]
Front PsycholYang Y, Liu H, Liu X, Bao Q.
europepmc +1 more source
Pengaruh Store Image, Attitude, Subjective Norm dan Perceived Behavioral Control terhadap Purchase Intention dengan moderasi Country Of Origin pada Green Skincare di The Body Shop [PDF]
, 2019 Hera Firasanti
openalex
Advanced Intelligent Discovery, EarlyView.This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Influential factors shaping consumers' green packaging purchase intentions. [PDF]
Front PsycholWang J, Li G, Luh DB.
europepmc +1 more source
Subjective conceptions of honesty and tolerance for democratic norm violations
Kiia Jasmin Alexandra Huttunen +1 more
openalex +2 more sources
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
Advanced Intelligent Systems, EarlyView.This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source