Results 191 to 200 of about 10,710,765 (284)

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

Annals 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, Yujiro Nishizawa, Yoshinori Kagawa, Masahiro Hashimoto, Shinya Kato, Yoshihiro Morimoto, Taishi Hata, Makoto Fujii, Masaaki Motoori, Kazumasa Fujitani   +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

Annals 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, Hiroyuki Yamamoto, Masaki Sunagawa, Yoshiki Kajiwara, Hiroshi Hasegawa, Hideki Ueno, Ken Shirabe, Mitsuro Kanda, Tomoki Ebata, Yukihiro Yokoyama   +9 more
wiley   +1 more source

Journal news and editor's choice article for November 2024 [PDF]

Michael Mullan
openalex   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced 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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

What Does Indian Dermatology Online Journal Expect in a Review Article?

Charu Grover, D. De
openalex   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

Data and analyses for the article "Exploring variation in ultraviolet-induced photoluminescence in North American flying squirrels" in the Journal of Mammalogy.

Jeff Bowman, Lucy van Haaften
openalex   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

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

Advanced 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, Bruno José Olivieri de Souza, Markus Endler   +2 more
wiley   +1 more source