Results 211 to 220 of about 2,739,656 (307)

Deep learning and firearm wound classification: a pilot study. [PDF]

Front Med (Lausanne)
Delogu G, Di Fazio N, Licciardello G, Frati P, Pomara C, Sessa F.   +5 more
europepmc   +1 more source

Rethinking Perioperative Corticosteroids in Esophageal Cancer Surgery: Evidence From an Integrative Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda, Akihisa Matsuda, Nobutoshi Hagiwara, Yoshiharu Nakamura, Hiroshi Yoshida   +4 more
wiley   +1 more source

Societal allostatic load under chronic threat: defensive dominance and collective efficacy (Iran as a case example). [PDF]

Front Behav Neurosci
Faraji J.
europepmc   +1 more source

Diagnostic Accuracy of Size‐Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama, Tomoya Shimizu, Jun Watanabe, Shimpei Ogawa, Yukihide Kanemitsu   +4 more
wiley   +1 more source

Autosomal STR Markers for Forensic Genetics: Applications, Challenges, and Future Directions. [PDF]

Genes (Basel)
Pajnič IZ.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

LegalEye: Multimodal Court Deception Detection Across Multiple Languages. [PDF]

Behav Sci (Basel)
Baldivas RIA, Sreenivasan N, Kang SY, Miller AM, Chacko M, Krishnan S, Ayala C, Ayala E, Kim D.   +8 more
europepmc   +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

I Know the Child Is My Client, but Who Am I? [PDF]

, 1996
England, Sharon S., Shepherd, Jr., Robert E.   +1 more
core   +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