AI Medical Compendium

Automated abdominal aortic calcification, muscle health and incident falls: the UK Biobank Imaging Study.

Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research May 21, 2026

Emerging evidence suggests that vascular disease is linked with poorer muscle strength and higher falls risk. We evaluated the association between abdominal aortic calcification (AAC), scored using a well-established and validated 24-point machine le... read more

Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine.

Proceedings of the National Academy of Sciences of the United States of America May 21, 2026

Autonomous physical learning systems modify their internal parameters and solve computational tasks without relying on external computation. Compared to traditional computers, they enjoy distributed and energy-efficient learning due to their physical... read more

A Topology-Preserving Coreset for Kernel Regression in Scientific Visualization.

IEEE transactions on visualization and computer graphics May 21, 2026

Modern simulations and observations generate vast amounts of data, fueling a growing interest in replacing discrete data with continuous surrogate models, such as functional models and implicit neural networks, to enhance data storage, transfer, anal... read more

Mixed Reality and Desktop Hand Hygiene Training with Deep Learning-Based Step Recognition and Real-Time Decision Support.

IEEE transactions on visualization and computer graphics May 21, 2026

Hand hygiene (HH) is essential for preventing healthcare-associated infections, yet conventional monitoring approaches primarily capture event occurrence and provide limited insight into procedural quality, timing, and individualized feed back. To ad... read more

Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance.

IEEE journal of biomedical and health informatics May 21, 2026

Retinal image registration, particularly for color fundus images, is a challenging yet essential task with diverse clinical applications. Existing registration methods for color fundus images typically rely on keypoints and descriptors for alignment;... read more

FGAIM: Identifying Drug-Target Activation and Inhibition Mechanisms via Inductive Graph Neural Networks Based on Fine-Grained Interaction Strategies.

IEEE transactions on computational biology and bioinformatics May 21, 2026

Distinguishing the activation and inhibition mechanisms between drugs and targets can reveal the potential regulatory pathways of target functions, which is crucial in drug discovery and development. Although numerous deep learning based computationa... read more

Quantification and Visualisation of Interpersonal Synchrony using Wearable Sensors: A Case Study on Autistic and Neurotypical Children.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 21, 2026

Interpersonal synchrony (IS), a key indicator of social interactions, is traditionally assessed through video data and manual coding methods, a process that is time-consuming and subjective. This study presents an automated sensor-based framework for... read more

AI-Enhanced Nanophotonic Heterochain Sensor Enables Multiplexed Biomarker Detection across Serum, Urine, and Saliva for Stroke Differentiation.

ACS applied bio materials May 21, 2026

Background: Rapid and accurate identification of stroke subtype is critical for timely intervention, yet current diagnostic assays are limited by long turnaround times, dependency on centralized laboratories, and insufficient sensitivity in the ultra... read more

A collaborative approach to applying Natural Language Processing (NLP) to Domestic Homicide Reviews (DHRs): A study protocol.

PloS one May 21, 2026

Since 2011, there has been a statutory requirement in England and Wales to conduct a Domestic Homicide Review (DHR) into any domestic abuse-related death: a multi-agency review into the death of a person aged 16 or over that appears resulting from vi... read more

Identifying and validating ITGB2 and HNRNPAB as diagnostic biomarkers in chronic obstructive pulmonary disease using bioinformatics and Integrated Machine Learning Methods.