Artificial Intelligence Medical Compendium

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

Showing 1,271 to 1,280 of 163,745 articles

Spatial Language Likelihood Grounding Network for Bayesian Fusion of Human-Robot Observations

arXiv Jul 26, 2025
Fusing information from human observations can help robots overcome sensing limitations in collaborative tasks. However, an uncertainty-aware fusion framework requires a grounded likelihood representing the uncertainty of human inputs. This paper p... read more 
Robotics Computation and Language Information Theory Machine Learning Systems and Control Systems and Control Information Theory

The Devil is in the EOS: Sequence Training for Detailed Image Captioning

arXiv Jul 26, 2025
Despite significant advances in vision-language models (VLMs), image captioning often suffers from a lack of detail, with base models producing short, generic captions. This limitation persists even though VLMs are equipped with strong vision and l... read more 
Computer Vision and Pattern Recognition Computation and Language

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model

arXiv Jul 26, 2025
Recently, competition in the field of artificial intelligence (AI) has intensified among major technological companies, resulting in the continuous release of new large-language models (LLMs) that exhibit improved language understanding and context... read more 
Information Retrieval Artificial Intelligence Computation and Language H.3.3; I.2.6; I.2.7

Transforming label-efficient decoding of healthcare wearables with self-supervised learning and "embedded" medical domain expertise.

Communications engineering Jul 26, 2025
Healthcare wearables are transforming health monitoring, generating vast and complex data in everyday free-living environments. While supervised deep learning has enabled tremendous advances in interpreting such data, it remains heavily dependent on ... read more 

FaRMamba: Frequency-based learning and Reconstruction aided Mamba for Medical Segmentation

arXiv Jul 26, 2025
Accurate medical image segmentation remains challenging due to blurred lesion boundaries (LBA), loss of high-frequency details (LHD), and difficulty in modeling long-range anatomical structures (DC-LRSS). Vision Mamba employs one-dimensional causal... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

FedS2R: One-Shot Federated Domain Generalization for Synthetic-to-Real Semantic Segmentation in Autonomous Driving

arXiv Jul 26, 2025
Federated domain generalization has shown promising progress in image classification by enabling collaborative training across multiple clients without sharing raw data. However, its potential in the semantic segmentation of autonomous driving rema... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

A mini-batch training strategy for deep subspace clustering networks

arXiv Jul 26, 2025
Mini-batch training is a cornerstone of modern deep learning, offering computational efficiency and scalability for training complex architectures. However, existing deep subspace clustering (DSC) methods, which typically combine an autoencoder wit... read more 
Computer Vision and Pattern Recognition Artificial Intelligence

The role of face regions in remote photoplethysmography for contactless heart rate monitoring.

NPJ digital medicine Jul 26, 2025
Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spu... read more 

External validation of a motion capture-based surgical skill assessment system in laparoscopic simulation training environments.

Surgical endoscopy Jul 26, 2025
PURPOSE: To externally validate our surgical skill assessment system, which provides comprehensive real-time feedback based on motion capture (Mocap) metrics of laparoscopic instruments in simulation training environments. read more 

Surface Hopping Nested Instances Training Set for Excited-state Learning.

Scientific data Jul 26, 2025
Theoretical studies of molecular photochemistry and photophysics are essential for understanding fundamental natural processes but rely on computationally demanding quantum chemical calculations. This complexity limits both direct simulations and the... read more 
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