Results 211 to 220 of about 21,239,143 (279)

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

Short‐Term Outcomes of Robot‐Assisted Versus Laparoscopic Colectomy for Colon Cancer: A Propensity Score‐Matched Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
This study compared short‐term outcomes of robot‐assisted versus laparoscopic colectomy for colon cancer using 1:1 propensity score matching. Among 218 matched pairs, robot‐assisted colectomy was associated with reduced blood loss, fewer conversions to open surgery, lower overall complication rates, and shorter hospital stays, despite longer operative ...
Akira Inoue   +9 more
wiley   +1 more source

Real‐World Data of Retroperitoneal Tumor Surgeries Performed by Gastroenterological Surgeons in Japan: Analysis Based on the National Clinical Database

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Retroperitoneal tumors (RPTs) are rare and anatomically complex neoplasms, for which surgery remains the mainstay of treatment. However, real‐world data on their surgical management in Japan have been limited. Objective To describe the clinical characteristics and short‐term outcomes of patients undergoing resection for RPTs in ...
Keisuke Kurimoto   +9 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci   +4 more
wiley   +1 more source

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza   +2 more
wiley   +1 more source

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