Results 211 to 220 of about 93,827 (314)

Pylorus‐Preserving Gastrectomy for Gastric Cancer: Current Evidence and Future Directions

Annals of Gastroenterological Surgery, EarlyView.
This review aims to outline the current evidence and future directions of PPG, focusing on the feasibility of extending its application beyond its traditional indications. ABSTRACT Pylorus‐preserving gastrectomy (PPG) is a function‐preserving surgery for clinically T1N0M0 (cT1N0M0) early gastric cancer (EGC) located in the middle third of the stomach ...
Sa‐Hong Kim, Hyuk‐Joon Lee
wiley   +1 more source

Endovascular-assisted microsurgical clipping of ophthalmic segment aneurysms. [PDF]

Acta Neurochir (Wien)
Dowlati E, Oh SY, Golub D, White TG, Ballout AA, Link TW, Patsalides A, Katz JM, Dehdashti AR.   +8 more
europepmc   +1 more source

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Balancing Time and Risk: Temporary Arterial Occlusion in Middle Cerebral Artery Aneurysm Surgery. [PDF]

Brain Sci
Geiger P, Preuss-Hernandez C, Pinggera D, Thomé C, Petr O.   +4 more
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

One-stage dual-approach clipping for concomitant ipsilateral true and junctional posterior communicating artery aneurysms. [PDF]

Surg Neurol Int
Arai S, Sakuragi Y, Irie R, Morofuji Y.
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Comparison of feasibility and efficacy of microsurgery and interventional techniques in the management of unruptured middle cerebral artery aneurysms with a history of transient ischemic attack. [PDF]

Front Surg
Li T, Li ZL, Ren Y, Xie M.
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