Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,281 to 3,290 of 235,503 articles

Multi-institutional Patient-level Comparison of Decipher Genomic Classifier and Artera Multimodal Artificial Intelligence (MMAI) in Prostate Cancer.

Clinical cancer research : an official journal of the American Association for Cancer Research
IMPORTANCE: The Decipher Prostate Genomic Classifier (GC) and ArteraAI Multimodal Artificial Intelligence (MMAI) platform are widely used prognostic tools for localized prostate cancer (PCa), yet no direct comparison has been performed within the sam... read more 

Body Composition Metrics and Overall Survival in Head and Neck Cancer Radiotherapy.

JAMA otolaryngology-- head & neck surgery
IMPORTANCE: Advancing the prognostication of patients with head and neck cancer who are undergoing radiotherapy may guide clinicians to better individualize support throughout oncologic treatment. OBJECTIVE: To evaluate how automated 3-dimensional so... read more 

Physics-informed single-frame end-to-end learning for denoising and background removal in fluorescence imaging.

Proceedings of the National Academy of Sciences of the United States of America
Fluorescence microscopy is often limited by low signal-to-noise ratios arising from the finite number of detected photons and by an out-of-focus background that obscures structural details. Here, we introduce a physics-informed end-to-end learning fr... read more 

Large language models unlock the ecology of species interactions.

Proceedings of the National Academy of Sciences of the United States of America
Species interactions shape population dynamics, geographic distributions, evolutionary trajectories, and responses to environmental change. Yet data on these interactions remain scarce across broad spatial, temporal, and taxonomic scales because they... read more 

Efficient and robust control with spikes that constrain free energy.

Proceedings of the National Academy of Sciences of the United States of America
Animal brains exhibit remarkable efficiency in perception and action, while being robust to both external and internal perturbations. The means by which brains accomplish this remains, for now, poorly understood, hindering our understanding of animal... read more 

Multimodal Gene Expression Deep Learning for Predicting Sentinel Lymph Node Macro-metastasis in Early Breast Cancer: Development and Validation in the SCAN-B Cohort.

Clinical cancer research : an official journal of the American Association for Cancer Research
BACKGROUND: This study evaluates DL using GEX and preoperatively available clinical data (PreopClinic) to predict SLNM, and explores their potential for guiding axillary surgery and prognostic assessment. METHODS: We retrospectively included 6,836 cl... read more 

Machine-Learning-Driven Simulations of Hyperthermal Atomic Oxygen Impacts on (0001) Al2O3 for Low-Altitude Satellite Design.

ACS applied materials & interfaces
In Very Low Earth Orbit (VLEO), spacecraft encounter residual atmosphere primarily composed of atomic oxygen (AO). The drag and operational lifetime of these spacecraft are determined by the interaction between AO and the surface, which for aluminum ... read more 

Nonlinear Quantum Effects Drive Grotthuss Proton Conduction in Structured Electrolytes Based on Deep Eutectic Solvents.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Structured electrolytes based on deep eutectic solvents (DESs) face electrochemical limitations of vehicular diffusion due to high viscosities often leading to low conductivities. Here, we demonstrate that the inverse relationship between viscosity a... read more 

Exploring Heterogeneity in Smartphone Addiction Risk Among Community-Dwelling Older Adults in Guangzhou: A Machine Learning Analysis.

Journal of applied gerontology : the official journal of the Southern Gerontological Society
Smartphone addiction risk is an underexamined concern in later life, and prior research often treats older adults as a homogeneous group. Using cross-sectional survey data from 2,275 community-dwelling adults aged 60 years or older in Guangzhou, this... read more