Artificial Intelligence Medical Compendium

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

Showing 34,781 to 34,790 of 221,633 articles

annbatch unlocks terabyte-scale training of biological data in anndata

arXiv Apr 2, 2026
The scale of biological datasets now routinely exceeds system memory, making data access rather than model computation the primary bottleneck in training machine-learning models. This bottleneck is particularly acute in biology, where widely used com... read more 
Machine Learning q-bio.GN

MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction

arXiv Apr 2, 2026
Infrared and visible video fusion combines the object saliency from infrared images with the texture details from visible images to produce semantically rich fusion results. However, most existing methods are designed for static image fusion and cann... read more 
Computer Vision and Pattern Recognition

Abnormal Head Movements in Neurological Conditions: A Knowledge-Based Dataset with Application to Cervical Dystonia

arXiv Apr 2, 2026
Abnormal head movements (AHMs) manifest across a broad spectrum of neurological disorders; however, the absence of a multi-condition resource integrating kinematic measurements, clinical severity scores, and patient demographics constitutes a persist... read more 
Artificial Intelligence cs.LG

Automated Prostate Gland Segmentation in MRI Using nnU-Net

arXiv Apr 2, 2026
Accurate segmentation of the prostate gland in multiparametric MRI (mpMRI) is a fundamental step for a wide range of clinical and research applications, including image registration, volume estimation, and radiomic analysis. However, manual delineati... read more 
Computer Vision and Pattern Recognition

NearID: Identity Representation Learning via Near-identity Distractors

arXiv Apr 2, 2026
When evaluating identity-focused tasks such as personalized generation and image editing, existing vision encoders entangle object identity with background context, leading to unreliable representations and metrics. We introduce the first principled ... read more 
Computer Vision and Pattern Recognition

Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models

arXiv Apr 2, 2026
The rapid growth of medical imaging has fueled the development of Foundation Models (FMs) to reduce the growing, unsustainable workload on radiologists. While recent FMs have shown the power of large-scale pre-training to CT and MRI analysis, there r... read more 
Computer Vision and Pattern Recognition cs.LG

GenGait: A Transformer-Based Model for Human Gait Anomaly Detection and Normative Twin Generation

arXiv Apr 2, 2026
Gait analysis provides an objective characterization of locomotor function and is widely used to support diagnosis and rehabilitation monitoring across neurological and orthopedic disorders. Deep learning has been increasingly applied to this domain,... read more 
Artificial Intelligence

How and why does deep ensemble coupled with transfer learning increase performance in bipolar disorder and schizophrenia classification?

arXiv Apr 2, 2026
Transfer learning (TL) and deep ensemble learning (DE) have recently been shown to outperform simple machine learning in classifying psychiatric disorders. However, there is still a lack of understanding as to why that is. This paper aims to understa... read more 
Artificial Intelligence

Rare-Aware Autoencoding: Reconstructing Spatially Imbalanced Data

arXiv Apr 2, 2026
Autoencoders can be challenged by spatially non-uniform sampling of image content. This is common in medical imaging, biology, and physics, where informative patterns occur rarely at specific image coordinates, as background dominates these locations... read more 
Computer Vision and Pattern Recognition cs.AI

Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision-Language Models

arXiv Apr 2, 2026
Developing vision-language models (VLMs) that generalize across diverse tasks requires large-scale training datasets with diverse content. In English, such datasets are typically constructed by aggregating and curating numerous existing visual questi... read more 
Computer Vision and Pattern Recognition
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