Artificial Intelligence Medical Compendium

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

Showing 52,051 to 52,060 of 225,279 articles

Multi-objective computational design optimization of a Total Disc Replacement implant

arXiv Feb 10, 2026
While cervical arthroplasty using Total Disc Replacement (TDR) implants is an established treatment for persistent neck and arm pain, revision rates limit it from reaching its full potential. To address the underlying complications, we developed fini... read more 
Computational Engineering, Finance, and Science

Uncertainty-Aware Ordinal Deep Learning for cross-Dataset Diabetic Retinopathy Grading

arXiv Feb 10, 2026
Diabetes mellitus is a chronic metabolic disorder characterized by persistent hyperglycemia due to insufficient insulin production or impaired insulin utilization. One of its most severe complications is diabetic retinopathy (DR), a progressive retin... read more 
Image and Video Processing cs.CV

A Low-Rank Defense Method for Adversarial Attack on Diffusion Models

arXiv Feb 10, 2026
Recently, adversarial attacks for diffusion models as well as their fine-tuning process have been developed rapidly. To prevent the abuse of these attack algorithms from affecting the practical application of diffusion models, it is critical to devel... read more 
Computer Vision and Pattern Recognition

Flow Matching with Uncertainty Quantification and Guidance

arXiv Feb 10, 2026
Despite the remarkable success of sampling-based generative models such as flow matching, they can still produce samples of inconsistent or degraded quality. To assess sample reliability and generate higher-quality outputs, we propose uncertainty-awa... read more 
Computer Vision and Pattern Recognition cs.LG

Conditional Uncertainty-Aware Political Deepfake Detection with Stochastic Convolutional Neural Networks

arXiv Feb 10, 2026
Recent advances in generative image models have enabled the creation of highly realistic political deepfakes, posing risks to information integrity, public trust, and democratic processes. While automated deepfake detectors are increasingly deployed ... read more 
Computer Vision and Pattern Recognition cs.LG

Monte Carlo Maximum Likelihood Reconstruction for Digital Holography with Speckle

arXiv Feb 10, 2026
In coherent imaging, speckle is statistically modeled as multiplicative noise, posing a fundamental challenge for image reconstruction. While maximum likelihood estimation (MLE) provides a principled framework for speckle mitigation, its application ... read more 
Computer Vision and Pattern Recognition

Identifying Evidence-Based Nudges in Biomedical Literature with Large Language Models

arXiv Feb 10, 2026
We present a scalable, AI-powered system that identifies and extracts evidence-based behavioral nudges from unstructured biomedical literature. Nudges are subtle, non-coercive interventions that influence behavior without limiting choice, showing str... read more 
Machine Learning

Beyond Calibration: Confounding Pathology Limits Foundation Model Specificity in Abdominal Trauma CT

arXiv Feb 10, 2026
Purpose: Translating foundation models into clinical practice requires evaluating their performance under compound distribution shift, where severe class imbalance coexists with heterogeneous imaging appearances. This challenge is relevant for trauma... read more 
Image and Video Processing cs.AI cs.CV

ENIGMA: EEG-to-Image in 15 Minutes Using Less Than 1% of the Parameters

arXiv Feb 10, 2026
To be practical for real-life applications, models for brain-computer interfaces must be easily and quickly deployable on new subjects, effective on affordable scanning hardware, and small enough to run locally on accessible computing resources. To d... read more 
Neurons and Cognition cs.AI cs.CV cs.HC

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis

arXiv Feb 10, 2026
Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radiologic images. This paradigm of opportunistic imaging adds value to medical imaging without additional imaging costs or patient radiation exposure. Ho... read more 
Computer Vision and Pattern Recognition
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