Artificial Intelligence Medical Compendium

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

Showing 38,771 to 38,780 of 223,469 articles

TIGeR: A Unified Framework for Time, Images and Geo-location Retrieval

arXiv Mar 25, 2026
Many real-world applications in digital forensics, urban monitoring, and environmental analysis require jointly reasoning about visual appearance, geolocation, and time. Beyond standard geo-localization and time-of-capture prediction, these applicati... read more 
Computer Vision and Pattern Recognition

Synthetic Cardiac MRI Image Generation using Deep Generative Models

arXiv Mar 25, 2026
Synthetic cardiac MRI (CMRI) generation has emerged as a promising strategy to overcome the scarcity of annotated medical imaging data. Recent advances in GANs, VAEs, diffusion probabilistic models, and flow-matching techniques aim to generate anatom... read more 
Computer Vision and Pattern Recognition cs.LG

Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset

arXiv Mar 25, 2026
Clinical documentation is a critical factor for patient safety, diagnosis, and continuity of care. The administrative burden of EHRs is a significant factor in physician burnout. This is a critical issue for low-resource languages, including Finnish.... read more 
Computation and Language cs.AI cs.LG

AVControl: Efficient Framework for Training Audio-Visual Controls

arXiv Mar 25, 2026
Controlling video and audio generation requires diverse modalities, from depth and pose to camera trajectories and audio transformations, yet existing approaches either train a single monolithic model for a fixed set of controls or introduce costly a... read more 
Computer Vision and Pattern Recognition cs.MM cs.SD

Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration

arXiv Mar 25, 2026
In this paper, we uncover the hidden potential of Diffusion Transformers (DiTs) to significantly enhance generative tasks. Through an in-depth analysis of the denoising process, we demonstrate that introducing a single learned scaling parameter can s... read more 
Computer Vision and Pattern Recognition

Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis

arXiv Mar 25, 2026
Computed tomography image segmentation of complex abdominal aortic aneurysms (AAA) often fails because the models assign internal focus to irrelevant structures or do not focus on thin, low-contrast targets. Where the model looks is the primary train... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

GoldiCLIP: The Goldilocks Approach for Balancing Explicit Supervision for Language-Image Pretraining

arXiv Mar 25, 2026
Until recently, the success of large-scale vision-language models (VLMs) has primarily relied on billion-sample datasets, posing a significant barrier to progress. Latest works have begun to close this gap by improving supervision quality, but each a... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG

Attention-based Pin Site Image Classification in Orthopaedic Patients with External Fixators

arXiv Mar 25, 2026
Pin sites represent the interface where a metal pin or wire from the external environment passes through the skin into the internal environment of the limb. These pins or wires connect an external fixator to the bone to stabilize the bone segments in... read more 
Computer Vision and Pattern Recognition

Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting

arXiv Mar 25, 2026
State-of-the-art crowd counting and localization are primarily modeled using two paradigms: density maps and point regression. Given the field's security ramifications, there is active interest in model robustness against adversarial attacks. Recent ... read more 
Computer Vision and Pattern Recognition cs.AI

A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study

arXiv Mar 25, 2026
Clinical decisions are high-stakes and require explicit justification, making model interpretability essential for auditing deep clinical models prior to deployment. As the ecosystem of model architectures and explainability methods expands, critical... read more 
Machine Learning cs.AI
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