Results 211 to 220 of about 343,726 (278)

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

Building Community Capacity for Harm Reduction: An Adaptive Implementation Science Approach in Rural Appalachian Ohio. [PDF]

open access: yesSubst Use
Sibley AL   +6 more
europepmc   +1 more source

Educational Impact of Artificial Intelligence‐Navigation Surgery on Anatomical Landmark Recognition in Medical Students

open access: yesAnnals 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

Primary Tumor Resection in Patients With Unresectable Metastatic Colorectal Cancer: A Systematic Review and Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis evaluated the role of primary tumor resection (PTR) in asymptomatic patients with unresectable metastatic colorectal cancer. Across 17 eligible studies including 9317 patients, PTR did not improve overall or progression‐free survival compared with chemotherapy alone.
Junpei Takashima   +3 more
wiley   +1 more source

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