Results 211 to 220 of about 21,239,143 (279)
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 communication: performance of beef cows fed Kernza intermediate wheatgrass straw mixed with alfalfa haylage. [PDF]
Pizarro DM +3 more
europepmc +1 more source
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
Study on nutritional status and incidence of sarcopenia in elderly patients with chronic heart failure. [PDF]
Song S, Du H, Lu X, Luo B, Li Z.
europepmc +1 more source
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
Correction: Exploratory analysis of gene aberrations and chemotherapy response: findings from a real-world database in Japan. [PDF]
Ishibashi N +5 more
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
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
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

