Artificial Intelligence Medical Compendium

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

Showing 1,121 to 1,130 of 161,939 articles

Diagnostic technologies for neuroblastoma.

Lab on a chip Jul 23, 2025
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ... read more 
Humans Biomarkers, Tumor Neuroblastoma Lab-On-A-Chip Devices

Computer Vision for Real-Time Monkeypox Diagnosis on Embedded Systems

arXiv Jul 23, 2025
The rapid diagnosis of infectious diseases, such as monkeypox, is crucial for effective containment and treatment, particularly in resource-constrained environments. This study presents an AI-driven diagnostic tool developed for deployment on the N... read more 
Machine Learning

Advances in machine learning for ABCA4-related retinopathy: segmentation and phenotyping.

International ophthalmology Jul 23, 2025
PURPOSE: Stargardt disease, also called ABCA4-related retinopathy (ABCA4R), is the most common form of juvenile-onset macular dystrophy and yet lacks an FDA approved treatment. Substantial progress has been made through landmark studies like that of ... read more 
Retina Retinal Diseases Phenotype Electroretinography ATP-Binding Cassette Transporters Humans Visual Acuity Stargardt Disease Machine Learning Tomography, Optical Coherence

PIG-Nav: Key Insights for Pretrained Image Goal Navigation Models

arXiv Jul 23, 2025
Recent studies have explored pretrained (foundation) models for vision-based robotic navigation, aiming to achieve generalizable navigation and positive transfer across diverse environments while enhancing zero-shot performance in unseen settings. ... read more 
Computer Vision and Pattern Recognition Robotics

Deep Generative Learning of Magnetic Frustration in Artificial Spin Ice from Magnetic Force Microscopy Images

arXiv Jul 23, 2025
Increasingly large datasets of microscopic images with atomic resolution facilitate the development of machine learning methods to identify and analyze subtle physical phenomena embedded within the images. In this work, microscopic images of honeyc... read more 
Disordered Systems and Neural Networks Materials Science Machine Learning

When time is of the essence: ethical reconsideration of XAI in time-sensitive environments.

Journal of medical ethics Jul 23, 2025
The objective of explainable artificial intelligence systems designed for clinical decision support (XAI-CDSS) is to enhance physicians' diagnostic performance, confidence and trust through the implementation of interpretable methods, thus providing ... read more 
Clinical Decision-Making Trust Time Factors Decision Support Systems, Clinical Humans Artificial Intelligence

SRMambaV2: Biomimetic Attention for Sparse Point Cloud Upsampling in Autonomous Driving

arXiv Jul 23, 2025
Upsampling LiDAR point clouds in autonomous driving scenarios remains a significant challenge due to the inherent sparsity and complex 3D structures of the data. Recent studies have attempted to address this problem by converting the complex 3D spa... read more 
Computer Vision and Pattern Recognition Machine Learning

P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices

arXiv Jul 23, 2025
Split Learning (SL) is an emerging privacy-preserving machine learning technique that enables resource constrained edge devices to participate in model training by partitioning a model into client-side and server-side sub-models. While SL reduces c... read more 
Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing

Accelerating Parallel Diffusion Model Serving with Residual Compression

arXiv Jul 23, 2025
Diffusion models produce realistic images and videos but require substantial computational resources, necessitating multi-accelerator parallelism for real-time deployment. However, parallel inference introduces significant communication overhead fr... read more 
Computer Vision and Pattern Recognition

Hierarchical Fusion and Joint Aggregation: A Multi-Level Feature Representation Method for AIGC Image Quality Assessment

arXiv Jul 23, 2025
The quality assessment of AI-generated content (AIGC) faces multi-dimensional challenges, that span from low-level visual perception to high-level semantic understanding. Existing methods generally rely on single-level visual features, limiting the... read more 
Computer Vision and Pattern Recognition
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