Artificial Intelligence Medical Compendium

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

Showing 44,651 to 44,660 of 224,055 articles

Rethinking Temporal Models for TinyML: LSTM versus 1D-CNN in Resource-Constrained Devices

arXiv Mar 5, 2026
Time series classification underpins applications such as human activity recognition, healthcare monitoring, and gesture detection in the IoT domain. Tiny Machine Learning enables models to run directly on low-power microcontroller units, improving e... read more 
Performance

Scalable Injury-Risk Screening in Baseball Pitching From Broadcast Video

arXiv Mar 5, 2026
Injury prediction in pitching depends on precise biomechanical signals, yet gold-standard measurements come from expensive, stadium-installed multi-camera systems that are unavailable outside professional venues. We present a monocular video pipeline... read more 
Computer Vision and Pattern Recognition

SURE: Semi-dense Uncertainty-REfined Feature Matching

arXiv Mar 5, 2026
Establishing reliable image correspondences is essential for many robotic vision problems. However, existing methods often struggle in challenging scenarios with large viewpoint changes or textureless regions, where incorrect cor- respondences may st... read more 
Computer Vision and Pattern Recognition

Diffusion-Based sRGB Real Noise Generation via Prompt-Driven Noise Representation Learning

arXiv Mar 5, 2026
Denoising in the sRGB image space is challenging due to noise variability. Although end-to-end methods perform well, their effectiveness in real-world scenarios is limited by the scarcity of real noisy-clean image pairs, which are expensive and diffi... read more 
Computer Vision and Pattern Recognition

Structure Observation Driven Image-Text Contrastive Learning for Computed Tomography Report Generation

arXiv Mar 5, 2026
Computed Tomography Report Generation (CTRG) aims to automate the clinical radiology reporting process, thereby reducing the workload of report writing and facilitating patient care. While deep learning approaches have achieved remarkable advances in... read more 
Computer Vision and Pattern Recognition

Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation

arXiv Mar 5, 2026
Most existing federated learning (FL) methods for medical image analysis only considered intramodal heterogeneity, limiting their applicability to multimodal imaging applications. In practice, some FL participants may possess only a subset of the com... read more 
Computer Vision and Pattern Recognition

Locality-Attending Vision Transformer

arXiv Mar 5, 2026
Vision transformers have demonstrated remarkable success in classification by leveraging global self-attention to capture long-range dependencies. However, this same mechanism can obscure fine-grained spatial details crucial for tasks such as segment... read more 
Computer Vision and Pattern Recognition

AdaIAT: Adaptively Increasing Attention to Generated Text to Alleviate Hallucinations in LVLM

arXiv Mar 5, 2026
Hallucination has been a significant impediment to the development and application of current Large Vision-Language Models (LVLMs). To mitigate hallucinations, one intuitive and effective way is to directly increase attention weights to image tokens ... read more 
Computer Vision and Pattern Recognition

Adaptive Prototype-based Interpretable Grading of Prostate Cancer

arXiv Mar 5, 2026
Prostate cancer being one of the frequently diagnosed malignancy in men, the rising demand for biopsies places a severe workload on pathologists. The grading procedure is tedious and subjective, motivating the development of automated systems. Althou... read more 
Computer Vision and Pattern Recognition

Location-Aware Pretraining for Medical Difference Visual Question Answering

arXiv Mar 5, 2026
Unlike conventional single-image models, differential medical VQA frameworks process multiple images to identify differences, mirroring the comparative diagnostic workflow of radiologists. However, standard vision encoders trained on contrastive or c... read more 
Computer Vision and Pattern Recognition cs.AI
Popular Topics
Recent Journals