Results 131 to 140 of about 238,288 (238)

Primary Tumor Resection in Patients With Unresectable Metastatic Colorectal Cancer: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis evaluated the role of primary tumor resection (PTR) in asymptomatic patients with unresectable metastatic colorectal cancer. Across 17 eligible studies including 9317 patients, PTR did not improve overall or progression‐free survival compared with chemotherapy alone.
Junpei Takashima, Hirotoshi Kobayashi, Daisuke Fujimoto, Fumihiko Miura   +3 more
wiley   +1 more source

Fifteen Years of Orthopedic Malpractice Litigation in Türkiye: A Supreme Court Analysis and International Comparison. [PDF]

J Clin Med
Özdemir U, Akar A, Serttaş MF, Başer A.   +3 more
europepmc   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

Extralevator Abdominoperineal Excision Improves Overall Survival Compared to Standard Abdominoperineal Excision: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási, Diana‐Elena Floria, Anett Rancz, Dániel Sándor Veres, Nándor Faluhelyi, Pál Miheller, Péter Hegyi, Szabolcs Ábrahám   +7 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Evaluating AI decision tools in Ecuador's courts: efficiency, consistency, and uncertainty in legal judgments. [PDF]

Front Artif Intell
Rodríguez-Salcedo E, Martínez-Bonilla C, Pérez-Mayorga B, Salame-Ortiz M, Armas-Freire P, Espín-Miniguano A, Pino-Loza E.   +6 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
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, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
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, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Understanding psychiatric-legal disagreements in not criminally responsible on account of mental disorder cases: a gradient boosting model perspective. [PDF]

Front Psychol
Haddou A, Sergerie-Dufresne C, Myszak P, Borduas Pagé S, Hudon A.   +4 more
europepmc   +1 more source