Artificial Intelligence Medical Compendium

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

Showing 34,821 to 34,830 of 221,633 articles

Re-analysis of the Human Transcription Factor Atlas Recovers TF-Specific Signatures from Pooled Single-Cell Screens with Missing Controls

arXiv Apr 2, 2026
Public pooled single-cell perturbation atlases are valuable resources for studying transcription factor (TF) function, but downstream re-analysis can be limited by incomplete deposited metadata and missing internal controls. Here we re-analyze the hu... read more 
Machine Learning q-bio.GN q-bio.MN

AQVolt26: High-Temperature r$^2$SCAN Halide Dataset for Universal ML Potentials and Solid-State Batteries

arXiv Apr 2, 2026
The demand for safe, high-energy-density batteries has spotlighted halide solid-state electrolytes, which offer the potential for enhanced ionic mobility, electrochemical stability, and interfacial deformability. Accelerating their discovery requires... read more 
Materials Science cs.LG

Synapse: Evolving Job-Person Fit with Explainable Two-phase Retrieval and LLM-guided Genetic Resume Optimization

arXiv Apr 2, 2026
Modern recruitment platforms operate under severe information imbalance: job seekers must search over massive, rapidly changing collections of postings, while employers are overwhelmed by high-volume, low-relevance applicant pools. Existing recruitme... read more 
Information Retrieval cs.LG

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation

arXiv Apr 2, 2026
As vision-language models (VLMs) are increasingly deployed in clinical decision support, more than accuracy is required: knowing when to trust their predictions is equally critical. Yet, a comprehensive and systematic investigation into the overconfi... read more 
Computer Vision and Pattern Recognition cs.LG

Contrastive Language-Colored Pointmap Pretraining for Unified 3D Scene Understanding

arXiv Apr 2, 2026
Pretraining 3D encoders by aligning with Contrastive Language Image Pretraining (CLIP) has emerged as a promising direction to learn generalizable representations for 3D scene understanding. In this paper, we propose UniScene3D, a transformer-based e... read more 
Computer Vision and Pattern Recognition cs.LG

Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It

arXiv Apr 2, 2026
We present DropGen, a simple and theoretically-grounded approach for domain generalization in 3D biomedical image segmentation. Modern segmentation models degrade sharply under shifts in modality, disease severity, clinical sites, and other factors, ... read more 
Image and Video Processing cs.CV

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models

arXiv Apr 2, 2026
Singular Value Decomposition (SVD) has become an important technique for reducing the computational burden of Vision Language Models (VLMs), which play a central role in tasks such as image captioning and visual question answering. Although multiple ... read more 
Computer Vision and Pattern Recognition cs.LG

FusionBERT: Multi-View Image-3D Retrieval via Cross-Attention Visual Fusion and Normal-Aware 3D Encoder

arXiv Apr 2, 2026
We propose FusionBERT, a novel multi-view visual fusion framework for image-3D multimodal retrieval. Existing image-3D representation learning methods predominantly focus on feature alignment of a single object image and its 3D model, limiting their ... read more 
Computer Vision and Pattern Recognition

Beyond Logit Adjustment: A Residual Decomposition Framework for Long-Tailed Reranking

arXiv Apr 2, 2026
Long-tailed classification, where a small number of frequent classes dominate many rare ones, remains challenging because models systematically favor frequent classes at inference time. Existing post-hoc methods such as logit adjustment address this ... read more 
Machine Learning

Why Instruction-Based Unlearning Fails in Diffusion Models?

arXiv Apr 2, 2026
Instruction-based unlearning has proven effective for modifying the behavior of large language models at inference time, but whether this paradigm extends to other generative models remains unclear. In this work, we investigate instruction-based unle... read more 
Computation and Language cs.CV
Popular Topics
Recent Journals