AI Medical Compendium

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

A data-driven framework for structural health monitoring using reinforcement learning and deep autoencoders.

Scientific reports May 21, 2026

The importance of structural health monitoring, especially for bridges that have exceeded their design life, has increased significantly to reduce maintenance costs, improve safety, and optimize performance. This article proposes a combination of mac... read more

Prediction of unerupted canines and premolars widths in an Emirati population: development and validation of regression and machine learning models.

Scientific reports May 21, 2026

This study aimed to develop a more accurate model for predicting the widths of unerupted canines and premolars in Emirati children, using deep learning and machine learning techniques. Dental models of 380 Emirati individuals aged 15-30 years were co... read more

Deep-learning deconvolution and segmentation of fluorescent membranes for high-precision bacterial cell-size profiling.

Communications biology May 21, 2026

Evolutionary studies in bacteria have emphasized genetic and metabolic diversity, while cell-size variation has received less attention. Here we introduce MEDUSSA, a high-throughput method for precise bacterial cell-size profiling based on automatic ... read more

Development and validation of a novel YOLOv5-based artificial intelligence model for gastric mucosal lesion detection.

Surgical endoscopy May 21, 2026

BACKGROUND AND AIMS: Artificial intelligence (AI) has been widely used in endoscopic diagnosis; however, an AI model capable of comprehensively diagnosing both diffuse and focal lesions remains lacking. This study aimed to develop an AI-based endosco... read more

Artificial Intelligence Medical Compendium