Artificial Intelligence Medical Compendium

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

Showing 44,931 to 44,940 of 224,055 articles

CAR T-cells in hematologic malignancies: Advances, challenges, and future directions.

iScience Mar 4, 2026
Chimeric antigen receptor (CAR) T-cell therapy has transformed the management of hematologic malignancies, achieving high remission rates in relapsed or refractory B-cell acute lymphoblastic leukemia, large B-cell lymphoma, and multiple myeloma. By r... read more 

A simulation-based deep learning framework for spatially explicit malaria modeling of CRISPR suppression gene drive mosquitoes.

iScience Mar 4, 2026
Engineered CRISPR gene drives are a promising new strategy for fighting malaria and other vector-borne diseases. One useful approach to predict the outcome of a drive release is individual-based modeling, allowing simulation of the chasing phenomenon... read more 

PTOPOFL: Privacy-Preserving Personalised Federated Learning via Persistent Homology

arXiv Mar 4, 2026
Federated learning (FL) faces two structural tensions: gradient sharing enables data-reconstruction attacks, while non-IID client distributions degrade aggregation quality. We introduce PTOPOFL, a framework that addresses both challenges simultaneous... read more 
Machine Learning cs.CR cs.DC math.AT stat.ML

Scalable Evaluation of the Realism of Synthetic Environmental Augmentations in Images

arXiv Mar 4, 2026
Evaluation of AI systems often requires synthetic test cases, particularly for rare or safety-critical conditions that are difficult to observe in operational data. Generative AI offers a promising approach for producing such data through controllabl... read more 
Computer Vision and Pattern Recognition cs.LG

Balancing Fidelity, Utility, and Privacy in Synthetic Cardiac MRI Generation: A Comparative Study

arXiv Mar 4, 2026
Deep learning in cardiac MRI (CMR) is fundamentally constrained by both data scarcity and privacy regulations. This study systematically benchmarks three generative architectures: Denoising Diffusion Probabilistic Models (DDPM), Latent Diffusion Mode... read more 
Computer Vision and Pattern Recognition cs.LG

Enhancing Authorship Attribution with Synthetic Paintings

arXiv Mar 4, 2026
Attributing authorship to paintings is a historically complex task, and one of its main challenges is the limited availability of real artworks for training computational models. This study investigates whether synthetic images, generated through Dre... read more 
Computer Vision and Pattern Recognition cs.LG

Underrepresented in Foundation Model Pretraining Data? A One-Shot Probe

arXiv Mar 4, 2026
Large-scale Vision-Language Foundation Models (VLFMs), such as CLIP, now underpin a wide range of computer vision research and applications. VLFMs are often adapted to various domain-specific tasks. However, VLFM performance on novel, specialised, or... read more 
Computer Vision and Pattern Recognition

RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation

arXiv Mar 4, 2026
Pathology report generation remains a relatively under-explored downstream task, primarily due to the gigapixel scale and complex morphological heterogeneity of Whole Slide Images (WSIs). Existing pathology report generation frameworks typically empl... read more 
Computer Vision and Pattern Recognition cs.AI

Helios: Real Real-Time Long Video Generation Model

arXiv Mar 4, 2026
We introduce Helios, the first 14B video generation model that runs at 19.5 FPS on a single NVIDIA H100 GPU and supports minute-scale generation while matching the quality of a strong baseline. We make breakthroughs along three key dimensions: (1) ro... read more 
Computer Vision and Pattern Recognition

ZipMap: Linear-Time Stateful 3D Reconstruction with Test-Time Training

arXiv Mar 4, 2026
Feed-forward transformer models have driven rapid progress in 3D vision, but state-of-the-art methods such as VGGT and $π^3$ have a computational cost that scales quadratically with the number of input images, making them inefficient when applied to ... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG
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