Results 121 to 130 of about 2,075 (203)

S2SWCLIP: semantic-optimized prompts with spatial-wavelet synergy for zero-shot anomaly detection. [PDF]

Sci Rep
Zhang H, Wu C, Lu J, Jing M.
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

A Numerical Investigation on the Effect of Size and Volume Fraction of Red Blood Cells in a Microchannel with Sudden Expansion. [PDF]

Micromachines (Basel)
Sezer C, Kaya K, Tabatabaei Malazi M, Dalkılıç AS.   +3 more
europepmc   +1 more source

One‐Year Healthcare Utilization and Costs After Emergency Department Encounters for Uncomplicated Appendicitis: A Statewide Observational Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Objective Non‐operative management with antibiotics has emerged as an alternative to appendectomy for uncomplicated appendicitis. This study compared one‐year healthcare costs and utilization outcomes after operative versus non‐operative management of uncomplicated appendicitis using statewide administrative data.
Andrew C. Meltzer, Michael Makutonin, Taylor Gorak, Aditya Loganathan, Jack A. Meltzer, Avi Dor   +5 more
wiley   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Multi-order hyperbolic graph convolution and aggregated attention for social event detection. [PDF]

PLoS One
Liu Y, Tan TP, Liu Z, Li Y.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Physics-Guided Hierarchical Neural Networks for Maxwell's Equations in Plasmonic Metamaterials. [PDF]

ACS Photonics
Lynch S, LaMountain J, Fan B, Bu J, Raju A, Wasserman D, Karpatne A, Podolskiy VA.   +7 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Optical wave propagation in magneto-optic waveguides with generalized anti-cubic model. [PDF]

Sci Prog
Baber MZ, Yasin MW, Ahmed N, Arif K, Ceesay B.   +4 more
europepmc   +1 more source