Artificial Intelligence Medical Compendium

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

Showing 59,001 to 59,010 of 227,876 articles

Student Mental Health Screening via Fitbit Data Collected During the COVID-19 Pandemic

arXiv Jan 22, 2026
College students experience many stressors, resulting in high levels of anxiety and depression. Wearable technology provides unobtrusive sensor data that can be used for the early detection of mental illness. However, current research is limited conc... read more 
Machine Learning

DSGym: A Holistic Framework for Evaluating and Training Data Science Agents

arXiv Jan 22, 2026
Data science agents promise to accelerate discovery and insight-generation by turning data into executable analyses and findings. Yet existing data science benchmarks fall short due to fragmented evaluation interfaces that make cross-benchmark compar... read more 
Artificial Intelligence

Coarse-to-Fine Non-rigid Multi-modal Image Registration for Historical Panel Paintings based on Crack Structures

arXiv Jan 22, 2026
Art technological investigations of historical panel paintings rely on acquiring multi-modal image data, including visual light photography, infrared reflectography, ultraviolet fluorescence photography, x-radiography, and macro photography. For a co... read more 
Computer Vision and Pattern Recognition

Experience with Single Domain Generalization in Real World Medical Imaging Deployments

arXiv Jan 22, 2026
A desirable property of any deployed artificial intelligence is generalization across domains, i.e. data generation distribution under a specific acquisition condition. In medical imagining applications the most coveted property for effective deploym... read more 
Image and Video Processing cs.AI cs.CV cs.LG

Analyzing Neural Network Information Flow Using Differential Geometry

arXiv Jan 22, 2026
This paper provides a fresh view of the neural network (NN) data flow problem, i.e., identifying the NN connections that are most important for the performance of the full model, through the lens of graph theory. Understanding the NN data flow provid... read more 
Machine Learning cs.SC

A Computer Vision Pipeline for Iterative Bullet Hole Tracking in Rifle Zeroing

arXiv Jan 22, 2026
Adjusting rifle sights, a process commonly called "zeroing," requires shooters to identify and differentiate bullet holes from multiple firing iterations. Traditionally, this process demands physical inspection, introducing delays due to range safety... read more 
Computer Vision and Pattern Recognition cs.AI

Superpixel-Based Image Segmentation Using Squared 2-Wasserstein Distances

arXiv Jan 22, 2026
We present an efficient method for image segmentation in the presence of strong inhomogeneities. The approach can be interpreted as a two-level clustering procedure: pixels are first grouped into superpixels via a linear least-squares assignment prob... read more 
Computer Vision and Pattern Recognition math.PR

Haar-initialized parametric wavelet compression with attention-driven lightweight CNN for brain tumor classification on edge devices.

Biomedical physics & engineering express Jan 22, 2026
This paper presents a lightweight hybrid framework that integrates a Haar-initialized Parametric Wavelet Transform (PWT) with a Convolutional Neural Network (CNN) enhanced by a multi-head Self-Attention mechanism for efficient and interpretable tumor... read more 

MMoGCN: a multi-gate mixture of graph convolutional network model for EEG emotion and mood disorder recognition.

Journal of neural engineering Jan 22, 2026
Objective.Emotional states and mood disorders are closely interconnected, and their joint recognition serves as a critical pathway to uncovering their intrinsic relationship. Currently, deep learning (DL) models based on electroencephalogram (EEG) ha... read more 

Breaking the performance barrier in deep learning-based SSVEP-BCIs: a joint frequency-phase training strategy.

Journal of neural engineering Jan 22, 2026
Objective.Deep learning (DL) exhibits considerable potential for steady-state visual evoked potential (SSVEP) classification in electroencephalography-based brain-computer interfaces (BCIs). SSVEP signals contain both frequency and phase characterist... read more 
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