Artificial Intelligence Medical Compendium

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

Showing 53,171 to 53,180 of 225,548 articles

Target noise: A pre-training based neural network initialization for efficient high resolution learning

arXiv Feb 6, 2026
Weight initialization plays a crucial role in the optimization behavior and convergence efficiency of neural networks. Most existing initialization methods, such as Xavier and Kaiming initializations, rely on random sampling and do not exploit inform... read more 
Machine Learning cs.AI

ProtoQuant: Quantization of Prototypical Parts For General and Fine-Grained Image Classification

arXiv Feb 6, 2026
Prototypical parts-based models offer a "this looks like that" paradigm for intrinsic interpretability, yet they typically struggle with ImageNet-scale generalization and often require computationally expensive backbone finetuning. Furthermore, exist... read more 
Computer Vision and Pattern Recognition cs.AI

DiTS: Multimodal Diffusion Transformers Are Time Series Forecasters

arXiv Feb 6, 2026
While generative modeling on time series facilitates more capable and flexible probabilistic forecasting, existing generative time series models do not address the multi-dimensional properties of time series data well. The prevalent architecture of D... read more 
Machine Learning

The hidden risks of temporal resampling in clinical reinforcement learning

arXiv Feb 6, 2026
Offline reinforcement learning (ORL) has shown potential for improving decision-making in healthcare. However, contemporary research typically aggregates patient data into fixed time intervals, simplifying their mapping to standard ORL frameworks. Th... read more 
Machine Learning

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
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