Results 171 to 180 of about 614,926 (248)
Prospectively determined clinical T and N categories clearly stratified long‐term survival in locally advanced gastric cancer. Patients with cT3N+, cT4aN0, cT4aN+, and cT4b disease showed unfavorable prognosis despite standard treatment. These findings may help optimize patient selection for perioperative treatment strategies.
Tsutomu Hayashi +19 more
wiley +1 more source
Judicial review of algorithmic administrative systems legality evidence and remedies in the smart city state. [PDF]
Ameen KS +3 more
europepmc +1 more source
Robot‐assisted pelvic exenteration (RPE) was performed with acceptable perioperative outcomes in selected patients with primary rectal cancer. It may serve as a complementary approach at institutions with sufficient experience in PE, whereas open surgery remains essential for extensive or technically demanding disease.
Shoma Yamamoto +3 more
wiley +1 more source
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Retinopathy of Prematurity: Historical Evolution of Clinical Management and Medico-Legal Evaluation in Japan. [PDF]
Iijima S.
europepmc +1 more source
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley +1 more source
Perinatal Deaths: Autopsy Findings and Medico-Legal Evaluation from a Forensic Medicine Perspective. [PDF]
Dalgic S, Gulderen A, Kamalak M, Uzun I.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Judicial assessment of testimonial reliability after EMDR therapy: a case-series analysis. [PDF]
Pacchioni F +5 more
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source

