Results 221 to 230 of about 740,833 (308)

Efficacy and Safety of a Simple Auxiliary Liver Suspension Device in Complex Laparoscopic Hepatectomy: A Multicenter Randomized Clinical Trial

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Purpose To evaluate the efficacy and safety of a novel auxiliary liver suspension device in complex laparoscopic hepatectomy. Methods A total of 253 patients with hepatocellular carcinoma (HCC) undergoing complex laparoscopic hepatectomy at the Third Affiliated Hospital of Naval Medical University, Sichuan Provincial People's Hospital, and ...
Xiao‐Ying Zhu   +9 more
wiley   +1 more source

Forensic Perspectives on Child Sexual Abuse Disclosure in Greece: A Retrospective Study. [PDF]

open access: yesPediatr Rep
Dimitriou K   +7 more
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

open access: yesAnnals 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   +4 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE 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   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

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