Results 171 to 180 of about 4,123 (255)
Prediction models using routine clinicopathological variables can identify patients with a very low risk of sentinel lymph node macrometastasis. Ensemble modeling modestly improves classification and increases the proportion of patients eligible for safe, risk‐adapted axillary de‐escalation.
Justin James +6 more
wiley +1 more source
Reflections on the use of LLMs for cell annotation. [PDF]
Ray PP.
europepmc +1 more source
A Kolmogorov–Arnold Surrogate Model for Chemical Equilibria: Application to Solid Solutions
Abstract The computational cost of geochemical solvers is a challenging matter. For reactive transport simulations, where chemical calculations are performed up to billions of times, it is crucial to reduce the total computational time. Existing publications have explored various machine learning approaches to determine the most effective data‐driven ...
Leonardo Boledi +2 more
wiley +1 more source
Evaluating cognitive depth of AI-generated multiple-choice questions with Bloom's Taxonomy. [PDF]
Nguyen TT +4 more
europepmc +1 more source
ABSTRACT Background Approximately one‐quarter to one‐third of patients with non‐ST‐elevation myocardial infarction have a completely occluded culprit coronary artery but are not routinely referred for emergent reperfusion. A growing literature describes electrocardiographic patterns purported to identify acute coronary occlusion (ACO) in non‐STEMI ...
Andrew P. Grimes, Sonja J. Maria
wiley +1 more source
Pas de deux pour Shakespeare"Mon cœur pour un sonnet" (Théâtre du Saulcy, Metz, 6 octobre 2016)
Nathalie Vincent-Arnaud
doaj
PsychiatryBench: a multi-task benchmark for LLMs in psychiatry. [PDF]
Fouda AE +3 more
europepmc +1 more source
ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza +6 more
wiley +1 more source
ChatGPT, Gemini, and Claude in clinical and dermoscopic image analysis of basal cell carcinoma and its common mimickers: A comparative performance analysis. [PDF]
Boostani M +13 more
europepmc +1 more source
ABSTRACT Identification of modifiable risk factors for prescription opioid use disorder (OUD)‐related emergency department (ED) visits (ICD‐10 F11.xx) is a clinical priority; however, most published models remain cross‐sectional and lack pharmacogenomic (PGx) enrichment or dual‐method feature confirmation. Using Virginia All‐Payer Claims Database (APCD)
R. Jerome Dixon, Elvin T. Price
wiley +1 more source

