Artificial Intelligence Medical Compendium

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

Showing 42,631 to 42,640 of 223,853 articles

A dataset of medication images with instance segmentation masks for preventing adverse drug events

arXiv Mar 11, 2026
Medication errors and adverse drug events (ADEs) pose significant risks to patient safety, often arising from difficulties in reliably identifying pharmaceuticals in real-world settings. AI-based pill recognition models offer a promising solution, bu... read more 
Computer Vision and Pattern Recognition

BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation

arXiv Mar 11, 2026
The Segment Anything Model (SAM) has revolutionized interactive segmentation through spatial prompting. While existing work primarily focuses on automating prompts in various settings, real-world annotation workflows involve iterative refinement wher... read more 
Computer Vision and Pattern Recognition cs.AI

Evaluating Few-Shot Pill Recognition Under Visual Domain Shift

arXiv Mar 11, 2026
Adverse drug events are a significant source of preventable harm, which has led to the development of automated pill recognition systems to enhance medication safety. Real-world deployment of these systems is hindered by visually complex conditions, ... read more 
Computer Vision and Pattern Recognition

On the Reliability of Cue Conflict and Beyond

arXiv Mar 11, 2026
Understanding how neural networks rely on visual cues offers a human-interpretable view of their internal decision processes. The cue-conflict benchmark has been influential in probing shape-texture preference and in motivating the insight that stron... read more 
Computer Vision and Pattern Recognition cs.AI

On the Reliability of Cue Conflict and Beyond

arXiv Mar 11, 2026
Understanding how neural networks rely on visual cues offers a human-interpretable view of their internal decision processes. The cue-conflict benchmark has been influential in probing shape-texture preference and in motivating the insight that stron... read more 
Computer Vision and Pattern Recognition cs.AI

UltrasoundAgents: Hierarchical Multi-Agent Evidence-Chain Reasoning for Breast Ultrasound Diagnosis

arXiv Mar 11, 2026
Breast ultrasound diagnosis typically proceeds from global lesion localization to local sign assessment and then evidence integration to assign a BI-RADS category and determine benignity or malignancy. Many existing methods rely on end-to-end predict... read more 
Computer Vision and Pattern Recognition

Bilevel Layer-Positioning LoRA for Real Image Dehazing

arXiv Mar 11, 2026
Learning-based real image dehazing methods have achieved notable progress, yet they still face adaptation challenges in diverse real haze scenes. These challenges mainly stem from the lack of effective unsupervised mechanisms for unlabeled data and t... read more 
Computer Vision and Pattern Recognition

SNPgen: Phenotype-Supervised Genotype Representation and Synthetic Data Generation via Latent Diffusion

arXiv Mar 11, 2026
Polygenic risk scores and other genomic analyses require large individual-level genotype datasets, yet strict data access restrictions impede sharing. Synthetic genotype generation offers a privacy-preserving alternative, but most existing methods op... read more 
Machine Learning q-bio.GN

LAtte: Hyperbolic Lorentz Attention for Cross-Subject EEG Classification

arXiv Mar 11, 2026
Electroencephalogram (EEG) classification is critical for applications ranging from medical diagnostics to brain-computer interfaces, yet it remains challenging due to the inherently low signal-to-noise ratio (SNR) and high inter-subject variability.... read more 
Machine Learning

Continuous Diffusion Transformers for Designing Synthetic Regulatory Elements

arXiv Mar 11, 2026
We present a parameter-efficient Diffusion Transformer (DiT) for generating 200bp cell-type-specific regulatory DNA sequences. By replacing the U-Net backbone of DNA-Diffusion with a transformer denoiser equipped with a 2D CNN input encoder, our mode... read more 
Machine Learning cs.AI q-bio.GN
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