Artificial Intelligence Medical Compendium

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

Showing 53,001 to 53,010 of 225,341 articles

Adaptive-CaRe: Adaptive Causal Regularization for Robust Outcome Prediction

arXiv Feb 6, 2026
Accurate prediction of outcomes is crucial for clinical decision-making and personalized patient care. Supervised machine learning algorithms, which are commonly used for outcome prediction in the medical domain, optimize for predictive accuracy, whi... read more 
Machine Learning

CauCLIP: Bridging the Sim-to-Real Gap in Surgical Video Understanding via Causality-Inspired Vision-Language Modeling

arXiv Feb 6, 2026
Surgical phase recognition is a critical component for context-aware decision support in intelligent operating rooms, yet training robust models is hindered by limited annotated clinical videos and large domain gaps between synthetic and real surgica... read more 
Computer Vision and Pattern Recognition

Temperature Scaling Attack Disrupting Model Confidence in Federated Learning

arXiv Feb 6, 2026
Predictive confidence serves as a foundational control signal in mission-critical systems, directly governing risk-aware logic such as escalation, abstention, and conservative fallback. While prior federated learning attacks predominantly target accu... read more 
Machine Learning cs.AI cs.ET

Same Answer, Different Representations: Hidden instability in VLMs

arXiv Feb 6, 2026
The robustness of Vision Language Models (VLMs) is commonly assessed through output-level invariance, implicitly assuming that stable predictions reflect stable multimodal processing. In this work, we argue that this assumption is insufficient. We in... read more 
Artificial Intelligence cs.CV

PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks

arXiv Feb 6, 2026
Unified multimodal models (UMMs) have shown impressive capabilities in generating natural images and supporting multimodal reasoning. However, their potential in supporting computer-use planning tasks, which are closely related to our lives, remain u... read more 
Computer Vision and Pattern Recognition

CytoCrowd: A Multi-Annotator Benchmark Dataset for Cytology Image Analysis

arXiv Feb 6, 2026
High-quality annotated datasets are crucial for advancing machine learning in medical image analysis. However, a critical gap exists: most datasets either offer a single, clean ground truth, which hides real-world expert disagreement, or they provide... read more 
Computer Vision and Pattern Recognition cs.HC cs.LG

Can We Build a Monolithic Model for Fake Image Detection? SICA: Semantic-Induced Constrained Adaptation for Unified-Yet-Discriminative Artifact Feature Space Reconstruction

arXiv Feb 6, 2026
Fake Image Detection (FID), aiming at unified detection across four image forensic subdomains, is critical in real-world forensic scenarios. Compared with ensemble approaches, monolithic FID models are theoretically more promising, but to date, consi... read more 
Computer Vision and Pattern Recognition

Diffeomorphism-Equivariant Neural Networks

arXiv Feb 6, 2026
Incorporating group symmetries via equivariance into neural networks has emerged as a robust approach for overcoming the efficiency and data demands of modern deep learning. While most existing approaches, such as group convolutions and averaging-bas... read more 
Machine Learning cs.CV

Clinical-Prior Guided Multi-Modal Learning with Latent Attention Pooling for Gait-Based Scoliosis Screening

arXiv Feb 6, 2026
Adolescent Idiopathic Scoliosis (AIS) is a prevalent spinal deformity whose progression can be mitigated through early detection. Conventional screening methods are often subjective, difficult to scale, and reliant on specialized clinical expertise. ... read more 
Computer Vision and Pattern Recognition

Gold Exploration using Representations from a Multispectral Autoencoder

arXiv Feb 6, 2026
Satellite imagery is employed for large-scale prospectivity mapping due to the high cost and typically limited availability of on-site mineral exploration data. In this work, we present a proof-of-concept framework that leverages generative represent... read more 
Computer Vision and Pattern Recognition cs.AI
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