Artificial Intelligence Medical Compendium

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

Showing 54,571 to 54,580 of 226,183 articles

Robust Representation Learning in Masked Autoencoders

arXiv Feb 3, 2026
Masked Autoencoders (MAEs) achieve impressive performance in image classification tasks, yet the internal representations they learn remain less understood. This work started as an attempt to understand the strong downstream classification performanc... read more 
Machine Learning cs.CV

EarResp-ANS : Audio-Based On-Device Respiration Rate Estimation on Earphones with Adaptive Noise Suppression

arXiv Feb 3, 2026
Respiratory rate (RR) is a key vital sign for clinical assessment and mental well-being, yet it is rarely monitored in everyday life due to the lack of unobtrusive sensing technologies. In-ear audio sensing is promising due to its high social accepta... read more 
Sound cs.HC

Cut to the Mix: Simple Data Augmentation Outperforms Elaborate Ones in Limited Organ Segmentation Datasets

arXiv Feb 3, 2026
Multi-organ segmentation is a widely applied clinical routine and automated organ segmentation tools dramatically improve the pipeline of the radiologists. Recently, deep learning (DL) based segmentation models have shown the capacity to accomplish s... read more 
Computer Vision and Pattern Recognition

ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Images

arXiv Feb 3, 2026
Generative text-to-image models are advancing at an unprecedented pace, continuously shifting the perceptual quality ceiling and rendering previously collected labels unreliable for newer generations. To address this, we present ELIQ, a Label-free Fr... read more 
Computer Vision and Pattern Recognition cs.AI cs.MM

NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping

arXiv Feb 3, 2026
Sepsis is a heterogeneous syndrome. Identifying clinically distinct phenotypes may enable more precise treatment strategies. In recent years, many researchers have applied clustering algorithms to sepsis patients. However, the clustering process rare... read more 
Machine Learning

EHRWorld: A Patient-Centric Medical World Model for Long-Horizon Clinical Trajectories

arXiv Feb 3, 2026
World models offer a principled framework for simulating future states under interventions, but realizing such models in complex, high-stakes domains like medicine remains challenging. Recent large language models (LLMs) have achieved strong performa... read more 
Artificial Intelligence cs.LG

TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection

arXiv Feb 3, 2026
Anomaly detection identifies departures from expected behavior in safety-critical settings. When target-domain normal data are unavailable, zero-shot anomaly detection (ZSAD) leverages vision-language models (VLMs). However, CLIP's coarse image-text ... read more 
Computer Vision and Pattern Recognition

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

arXiv Feb 3, 2026
We present EB-JEPA, an open-source library for learning representations and world models using Joint-Embedding Predictive Architectures (JEPAs). JEPAs learn to predict in representation space rather than pixel space, avoiding the pitfalls of generati... read more 
Computer Vision and Pattern Recognition cs.AI

KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs

arXiv Feb 3, 2026
Training-free video understanding leverages the strong image comprehension capabilities of pre-trained vision language models (VLMs) by treating a video as a sequence of static frames, thus obviating the need for costly video-specific training. Howev... read more 
Computer Vision and Pattern Recognition

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis

arXiv Feb 3, 2026
Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complementary signals from multimodal data. However, multimodal diagnosis in ophthalmic practice is typically challenged in terms of data heterogeneity, pote... read more 
Computer Vision and Pattern Recognition physics.med-ph
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