Artificial Intelligence Medical Compendium

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

Showing 2,101 to 2,110 of 213,633 articles

Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth

arXiv Jul 15, 2026
We investigate how each component of the Transformer feedforward block architecture design determines how much rank survives across depth at initialization. We reinterpret skip connections and normalization, long understood as controlling magnitude, ... read more 
Machine Learning cs.AI

SPECS: Speciated Evolutionary Circuit Synthesis

arXiv Jul 15, 2026
We propose SPECS, a genetic algorithm for automated analog circuit synthesis with joint topology and sizing optimization. SPECS is inspired by NeuroEvolution of Augmenting Topologies (NEAT), an evolutionary algorithm originally developed to synthesiz... read more 
Neural and Evolutionary Computing

Multi-Expert Routing for Multi-Domain Low-Resource OCR: A Manchu Case Study

arXiv Jul 15, 2026
Historical Manchu OCR must accommodate various visually distinct writing styles, including regular script, running script, and the semi-cursive chancery hand used in palace memorials, despite limited labeled data. We study a multi-expert system that ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Screening of Biosecurity Features in Metagenomic Data with Evo 2 Probes

arXiv Jul 15, 2026
Genomic foundation models such as Evo 2 learn rich sequence representations, but their value for biosecurity screening is largely unexplored. We ask how much biosecurity-relevant signal is linearly accessible in these representations by training mini... read more 
Genomics cs.LG

A vision foundation model for single-cell biology via spatial gene cartography

arXiv Jul 15, 2026
Most single-cell foundation models are adapted from language models, representing each cell as a sequence of gene tokens. This discards the relationships among genes and often the magnitude of their expression. We present scVision, a vision foundatio... read more 
Quantitative Methods cs.CV cs.LG

OvAi Focus: AI-based Multi-class Segmentation of Functional Ovaries and Adnexal Masses in Gynecological Ultrasound

arXiv Jul 15, 2026
Ovarian cancer is the deadliest gynecological malignancy; accurate and objective segmentation of adnexal masses and functional ovaries in ultrasound (US) remains challenging due to operator variability and morphological complexity. We present OvAi Fo... read more 
Image and Video Processing cs.CV

A Temporal Machine Learning-Based Time-to-Event Model for Predicting ALS Progression and Healthcare Utilization

arXiv Jul 15, 2026
Amyotrophic lateral sclerosis (ALS) is a progressive and heterogeneous neurodegenerative disease in which predicting clinically meaningful milestones, such as assistive device use, remains challenging. We developed a time-to-event, digital-twin-inspi... read more 
Machine Learning cs.IR stat.ML

TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories

arXiv Jul 15, 2026
Pediatric electronic health records capture developmentally structured clinical trajectories, yet their potential for generative healthcare foundation models remains largely unexplored. Here we present TEDDY (Temporal Event Decoder for Disease in You... read more 
Machine Learning

Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning

arXiv Jul 15, 2026
As recommender systems mature in the past few years, their optimization objectives have evolved from a primary focusing on short-term behavioral signals to a broader emphasis on long-term user engagement and retention. However, directly optimizing re... read more 
Machine Learning cs.IR

Operator-Informed Gaussian Processes for Complex Helmholtz Wavefields: From Synthetic Benchmarks to In Vivo Brain Elastography

arXiv Jul 15, 2026
The Helmholtz equation governs time-harmonic wave propagation, and in dissipative media a complex modulus renders its squared wavenumber $κ^2$ complex. Inferring such fields from sparse, noisy data calls for solvers that also quantify their own uncer... read more 
Machine Learning cs.LG math.NA physics.med-ph
Popular Topics
Recent Journals