Artificial Intelligence Medical Compendium

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

Showing 41,241 to 41,250 of 223,853 articles

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education

arXiv Mar 17, 2026
Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Human-Centered AI (HCAI), are increasingly used to expand access to digital psychiatry and mental health care. This PRISMA-ScR scoping review maps the lan... read more 
Computers and Society cs.AI cs.HC

PureCLIP-Depth: Prompt-Free and Decoder-Free Monocular Depth Estimation within CLIP Embedding Space

arXiv Mar 17, 2026
We propose PureCLIP-Depth, a completely prompt-free, decoder-free Monocular Depth Estimation (MDE) model that operates entirely within the Contrastive Language-Image Pre-training (CLIP) embedding space. Unlike recent models that rely heavily on geome... read more 
Computer Vision and Pattern Recognition

Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification

arXiv Mar 17, 2026
Automated white blood cell (WBC) classification is essential for leukemia screening but remains challenged by extreme class imbalance, long-tail distributions, and domain shift, leading deep models to overfit dominant classes and fail on rare subtype... read more 
Computer Vision and Pattern Recognition

Synergizing Deep Learning and Biological Heuristics for Extreme Long-Tail White Blood Cell Classification

arXiv Mar 17, 2026
Automated white blood cell (WBC) classification is essential for leukemia screening but remains challenged by extreme class imbalance, long-tail distributions, and domain shift, leading deep models to overfit dominant classes and fail on rare subtype... read more 
Computer Vision and Pattern Recognition

Visual Prompt Discovery via Semantic Exploration

arXiv Mar 17, 2026
LVLMs encounter significant challenges in image understanding and visual reasoning, leading to critical perception failures. Visual prompts, which incorporate image manipulation code, have shown promising potential in mitigating these issues. While e... read more 
Computer Vision and Pattern Recognition cs.AI

Grounding the Score: Explicit Visual Premise Verification for Reliable Vision-Language Process Reward Models

arXiv Mar 17, 2026
Vision-language process reward models (VL-PRMs) are increasingly used to score intermediate reasoning steps and rerank candidates under test-time scaling. However, they often function as black-box judges: a low step score may reflect a genuine reason... read more 
Computer Vision and Pattern Recognition cs.AI

AW-MoE: All-Weather Mixture of Experts for Robust Multi-Modal 3D Object Detection

arXiv Mar 17, 2026
Robust 3D object detection under adverse weather conditions is crucial for autonomous driving. However, most existing methods simply combine all weather samples for training while overlooking data distribution discrepancies across different weather s... read more 
Computer Vision and Pattern Recognition cs.AI

Laya: A LeJEPA Approach to EEG via Latent Prediction over Reconstruction

arXiv Mar 17, 2026
Electroencephalography (EEG) is a widely used tool for studying brain function, with applications in clinical neuroscience, diagnosis, and brain-computer interfaces (BCIs). Recent EEG foundation models trained on large unlabeled corpora aim to learn ... read more 
Machine Learning q-bio.NC

VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents

arXiv Mar 17, 2026
The rapid advancement of Multimodal Large Language Models (MLLMs) has enabled browsing agents to acquire and reason over multimodal information in the real world. But existing benchmarks suffer from two limitations: insufficient evaluation of visual ... read more 
Computer Vision and Pattern Recognition cs.AI

VisBrowse-Bench: Benchmarking Visual-Native Search for Multimodal Browsing Agents

arXiv Mar 17, 2026
The rapid advancement of Multimodal Large Language Models (MLLMs) has enabled browsing agents to acquire and reason over multimodal information in the real world. But existing benchmarks suffer from two limitations: insufficient evaluation of visual ... read more 
Computer Vision and Pattern Recognition cs.AI
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