Artificial Intelligence Medical Compendium

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

Showing 31,561 to 31,570 of 220,544 articles

Encoding models uncover fine-grained feature selectivity for bodies, hands and tools

bioRxiv Apr 13, 2026
Category-selective areas in the occipitotemporal cortex (OTC) are typically characterized by broad tuning, yet neuroimaging suggests a finer-grained organization reflecting distinct computational roles. We combined image-level fMRI with artificial ne... read more 
neuroscience

Evolutionary-scale protein language models uncover beneficial variants in a Sorghum bicolor diversity panel

bioRxiv Apr 13, 2026
Quantitative genetic approaches such as genome-wide association studies and genomic prediction are widely used to identify favourable genetic variation, but they have limited resolution due to linkage disequilibrium. Comparative genomics approaches, ... read more 
genetics

Multidomain Analysis of Clinical Cognitive Assessments and Imaging Data in Alzheimer's Disease Accurately Predicts Disease Stage and Grade Independent of Amyloid and Tau

bioRxiv Apr 13, 2026
Background Individual clinical cognitive assessments (CCA) for Alzheimer's disease (AD) provide broad disease stratification but are limited in sensitivity and specificity, requiring integration of multiple CCA for optimal disease staging. Recent wor... read more 
neuroscience

Generative AI in a new era of computer model-informed tobacco research: a short report.

Tobacco control Apr 13, 2026
BACKGROUND: Social media influencers who promote e-cigarettes on Instagram or TikTok for tobacco brands use marketing tactics to increase the appeal of their promotional content, for example, depicting e-cigarettes alongside healthy lifestyle or ente... read more 

Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation

arXiv Apr 13, 2026
Fully supervised Video Semantic Segmentation (VSS) relies heavily on densely annotated video data, limiting practical applicability. Alternatively, applying pre-trained Image Semantic Segmentation (ISS) models frame-by-frame avoids annotation costs b... read more 
Computer Vision and Pattern Recognition

FineEdit: Fine-Grained Image Edit with Bounding Box Guidance

arXiv Apr 13, 2026
Diffusion-based image editing models have achieved significant progress in real world applications. However, conventional models typically rely on natural language prompts, which often lack the precision required to localize target objects. Consequen... read more 
Computer Vision and Pattern Recognition

RAG-KT: Cross-platform Explainable Knowledge Tracing with Multi-view Fusion Retrieval Generation

arXiv Apr 13, 2026
Knowledge Tracing (KT) infers a student's knowledge state from past interactions to predict future performance. Conventional Deep Learning (DL)-based KT models are typically tied to platform-specific identifiers and latent representations, making the... read more 
Artificial Intelligence

bioLeak: Leakage-Aware Modeling and Diagnostics for Machine Learning in R

arXiv Apr 13, 2026
Data leakage remains a recurrent source of optimistic bias in biomedical machine learning studies. Standard row-wise cross-validation and globally estimated preprocessing steps are often inappropriate for data with repeated measurements, study-level ... read more 
Computation cs.LG stat.AP stat.ML

You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass

arXiv Apr 13, 2026
We present a discriminative multimodal reward model that scores all candidate responses in a single forward pass. Conventional discriminative reward models evaluate each response independently, requiring multiple forward passes, one for each potentia... read more 
Computer Vision and Pattern Recognition cs.AI

Using Deep Learning Models Pretrained by Self-Supervised Learning for Protein Localization

arXiv Apr 13, 2026
Background: Task-specific microscopy datasets are often small, making it difficult to train deep learning models that learn robust features. While self-supervised learning (SSL) has shown promise through pretraining on large, domain-specific datasets... read more 
Computer Vision and Pattern Recognition
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