Artificial Intelligence Medical Compendium

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

Showing 21,831 to 21,840 of 216,627 articles

Medical Imaging Classification with Cold-Atom Reservoir Computing using Auto-Encoders and Surrogate-Driven Training

arXiv May 7, 2026
We introduce a hybrid quantum-classical pipeline, based on neutral-atom reservoir computing, for medical image classification, focusing on the binary classification task of polyp detection. To deal effectively with the high dimensionality, we integra... read more 
Machine Learning cs.ET eess.IV

LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute

arXiv May 7, 2026
Transformers dominate video recognition. They split videos into tokens, and processing them has expensive superlinear computational cost. Yet videos are filled with redundancy, so we can question the need for this expense. We introduce LookWhen, a se... read more 
Computer Vision and Pattern Recognition cs.LG

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy

arXiv May 7, 2026
Deep learning-based organs/structures-at-risk(OARs) auto-contouring models can improve radiotherapy workflows, but models trained on adult data often underperform in pediatric patients. Developing robust pediatric-specific models is hindered by data ... read more 
Medical Physics cs.AI

Benchmarked Yet Not Measured -- Generative AI Should be Evaluated Against Real-World Utility

arXiv May 7, 2026
Generative AI systems achieve impressive performance on standard benchmarks yet fail to deliver real-world utility, a disconnect we identify across 28 deployment cases spanning education, healthcare, software engineering, and law. We argue that this ... read more 
Machine Learning cs.CL

Knowledge Transfer Scaling Laws for 3D Medical Imaging

arXiv May 7, 2026
Vision foundation models are increasingly moving beyond 2D to volumetric domains such as 3D medical imaging, where unified pretraining across different imaging modalities (i.e. CT, MRI, and PET) could provide foundational models for diverse clinical ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse

arXiv May 7, 2026
While many approaches to improve VQ-VAE performance focus on codebook size and utilization, the effect of dimensional collapse, where trained VQ-VAE representations live in an extremely low-dimensional subspace (1-2% of full rank), remains unaddresse... read more 
Machine Learning

EULER-ADAS: Energy-Efficient & SIMD-Unified Logarithmic-Posit Engine for Precision-Reconfigurable Approximate ADAS Acceleration

arXiv May 7, 2026
Advanced driver-assistance systems (ADAS) require neural compute engines that deliver low-latency inference under strict power and area constraints. Posit arithmetic is attractive for such accelerators because it provides high numerical fidelity at l... read more 
Hardware Architecture cs.AI cs.CV eess.IV math.NA

TriDE: Triangle-Consistent Translation Directions for Global Camera Pose Estimation

arXiv May 7, 2026
Pairwise translation directions are a key input to camera location estimation in global structure-from-motion. Existing estimators usually process each image pair independently, producing directions that may be locally plausible but inconsistent with... read more 
Computer Vision and Pattern Recognition

Towards Fairness under Label Bias in Image Segmentation: Impact, Measurement and Mitigation

arXiv May 7, 2026
Labeled datasets reflect the biases of their annotation pipelines, which sometimes introduce label bias: group-conditional label errors that cause systematic performance disparities across demographic subgroups. Label bias in image segmentation remai... read more 
Computer Vision and Pattern Recognition cs.LG

Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation

arXiv May 7, 2026
Diffusion Transformers (DiTs) have achieved state-of-the-art video generation quality, but they incur immense computational cost because standard inference applies the same number of denoising steps uniformly to every token in the sequence. It is wel... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals