Results 201 to 210 of about 4,782,206 (256)
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto +18 more
wiley +1 more source
In this nationwide survey of 1967 members of the Japanese Society of Gastroenterological Surgery, 66% reported experiencing workplace harassment, and 56% of those affected had considered leaving surgical practice. These findings highlight the need for sustained, society‐wide efforts to prevent harassment and foster respectful and psychologically safe ...
Keisuke Kurimoto +10 more
wiley +1 more source
Implementing Rules and Regulations of the Data Privacy Act (2012)
National Privacy Commission
core
Modeling and optimizing trust-mediated influence in temporal heterogeneous networks. [PDF]
Chen F.
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Artificial Intelligence in Family Nursing: An Evidence-Informed Policy Framework for Safe and Equitable Integration. [PDF]
Junko H, Sakiko I, Kazumi K.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Current Standards of Monitoring Models in Healthcare Settings
AI/ML‐enabled medical devices are entering clinical practice faster than monitoring standards mature. This review highlights gaps in postmarket surveillance, limited use of predetermined change‐control plans, and the need for ongoing performance tracking, drift detection, explainability, and workflow‐aware governance to support safer, more reliable ...
Alan Kay +5 more
wiley +1 more source

