Results 221 to 230 of about 3,978,016 (307)
Perceptions of Ethical and Legal Challenges in Artificial Intelligence-Assisted Implant Dentistry Among Dentists: A Cross-Sectional Survey. [PDF]
S S +5 more
europepmc +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
Radiography Interns' and Recent Graduates' Self-Perceived Professional Competency Development at Two Saudi Universities: A Cross-Sectional Study. [PDF]
Subahi A +6 more
europepmc +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
The crime of surviving: Suicide recriminalization and mental health in Pakistan. [PDF]
Mashhood A, Khan MM.
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
Society for Maternal-Fetal Medicine Special Statement: Considerations for management of high-risk pregnancies when abortion care is restricted. [PDF]
Society for Maternal‐Fetal Medicine (SMFM) +9 more
europepmc +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Legal judgment prediction via dynamic task graph and keyword-aware contrastive learning. [PDF]
Li J, Zhang S.
europepmc +1 more source

