Results 121 to 130 of about 10,535 (255)

Large Language Model Hallucinations in Spine Surgery: A Comparative Analysis of Clinician vs Patient-Level Prompts. [PDF]

open access: yesNeurosurg Pract
McLaughlin ND   +5 more
europepmc   +1 more source

Return‐To‐Work and Working Status After Surgery for Gastric and Esophageal Cancer: A Prospective Observational Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
In this multicenter prospective study of 158 working‐age patients undergoing curative‐intent surgery for gastric or esophageal cancer, 78.5% were working at 18 months. Postoperative appetite loss, financial difficulties, and ≥ 10% weight loss at 6 months were associated with non‐working status.
Kentaro Goto   +18 more
wiley   +1 more source

Scientometric study of learning circles in medical education: Trends, collaborative networking, and citation dynamics. [PDF]

open access: yesJ Educ Health Promot
Temoche A   +6 more
europepmc   +1 more source

Redefining the Role of Splenectomy in Scirrhous Gastric Cancer: Toward a Selective Multimodal Strategy

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Scirrhous gastric cancer, characterized by diffuse infiltration and a high propensity for peritoneal dissemination, remains one of the most aggressive subtypes of gastric cancer. Despite a relatively high incidence of splenic hilar lymph node (No. 10) metastasis, the oncologic benefit of splenectomy remains controversial, while its association
Tsutomu Hayashi, Takaki Yoshikawa
wiley   +1 more source

CFD modeling and sensitivity‐guided design of silicon filament CVD reactors

open access: yesAIChE Journal, EarlyView.
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis   +8 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

BibliZap: An exploratory evaluation of an automated multi-level citation searching tool for systematic and rapid reviews. [PDF]

open access: yesRes Synth Methods
Bentegeac R   +10 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

open access: yesAdvanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser   +6 more
wiley   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin   +5 more
wiley   +1 more source

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