Artificial Intelligence Medical Compendium

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

Showing 14,411 to 14,420 of 211,815 articles

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones

arXiv May 21, 2026
Decision trees partition the feature space using hard binary thresholds, assigning identical confidence to instances far from a decision boundary and to those directly on it. We introduce ternary decision trees, which augment each split node with an ... read more 
Machine Learning

SeqLoRA: Bilevel Orthogonal Adaptation for Continual Multi-Concept Generation

arXiv May 21, 2026
Parameter-efficient fine-tuning enables fast personalization of text-to-image diffusion models, but composing multiple custom concepts remains challenging due to representation interference. Existing modular methods either rely on expensive post-hoc ... read more 
Machine Learning

Spectral Tail Auxiliary Learning for AI-Generated Image Detection

arXiv May 21, 2026
As generative image models evolve rapidly, the perceptual gap between generated and real images continues to narrow, making AI-generated image detection increasingly challenging. Many existing methods exploit frequency-domain cues for detection, typi... read more 
Computer Vision and Pattern Recognition

Synthetic Data Alone is Enough? Rethinking Data Scarcity in Pediatric Rare Disease Recognition

arXiv May 21, 2026
Children with rare genetic diseases often exhibit distinctive facial phenotypes, yet developing computer vision systems for early diagnosis remains challenging due to extreme data scarcity, privacy constraints, and limited data sharing in pediatric s... read more 
Computer Vision and Pattern Recognition

CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation

arXiv May 21, 2026
Real-time cognitive load assessment is essential for adaptive human-computer interaction but remains challenging due to limited labeled data and poor cross-subject generalization. Recent ECG foundation models pre-trained on millions of clinical recor... read more 
Machine Learning cs.AI cs.HC

MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data

arXiv May 21, 2026
Real-time cognitive load assessment from eye-tracking signals could potentially enable adaptive human-centered-AI such as safety-critical applications such as driver vigilance monitoring or automated flight deck assistance, yet two challenges persist... read more 
Machine Learning cs.AI cs.HC

DecQ: Detail-Condensing Queries for Enhanced Reconstruction and Generation in Representation Autoencoders

arXiv May 21, 2026
Representation Autoencoders (RAEs) leverage frozen vision foundation models (VFMs) as tokenizer encoders, providing robust high-level representations that facilitate fast convergence and high-quality generation in latent diffusion models. However, fr... read more 
Computer Vision and Pattern Recognition

MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems

arXiv May 21, 2026
Autonomous agentic systems are largely static after deployment: they do not learn from user interactions, and recurring failures persist until the next human-driven update ships a fix. Self-evolving agents have emerged in response, but all confine ev... read more 
Artificial Intelligence cs.LG

Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving

arXiv May 21, 2026
Robust training and validation of Autonomous Driving Systems (ADS) require massive, diverse datasets. Proprietary data collected by Autonomous Vehicle (AV) fleets, while high-fidelity, are limited in scale, diversity of sensor configurations, as well... read more 
Computer Vision and Pattern Recognition

GesVLA: Gesture-Aware Vision-Language-Action Model Embedded Representations

arXiv May 21, 2026
Vision-Language-Action (VLA) models have shown strong potential for general-purpose robot manipulation by unifying perception and action. However, existing VLA systems primarily rely on textual instructions and struggle to resolve spatial ambiguity i... read more 
Robotics cs.CV
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