AI Medical Compendium

CDM-UNet: Content-Driven Enhanced Mamba Model for Medical Image Segmentation.

Interdisciplinary sciences, computational life sciences May 21, 2026

Segmenting medical images plays a pivotal role in diagnosis, treatment planning, and healthcare. Recent advancements in deep learning have significantly transformed this domain. Convolutional Neural Networks (CNNs) are proficient at extracting local ... read more

Machine Learning-Assisted Molecularly Imprinted Polymer Sensor for Point-of-Care Vancomycin Monitoring in Serum.

ACS applied bio materials May 21, 2026

Optimizing vancomycin dosage is critical for treating severe infections and combating antimicrobial resistance, yet it is hampered by slow, centralized laboratory testing. To address this clinical gap, we have developed a low-cost, disposable electro... read more

When the Algorithm Teaches-Promise and Peril of AI in Physician Learning.

JAMA May 21, 2026

An Applied Framework of CLSM and Rheology for Controlling Foodborne Biofilms and Their Cleaning Agents and Disinfectants Resistance: A Review.

Letters in applied microbiology May 21, 2026

Biofilms formed by foodborne pathogens pose a significant threat to food safety, as they enhance microbial resistance to disinfectants and environmental stress. Understanding the relationship between their intricate structure and macroscopic mechanic... read more

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

Artificial Intelligence Medical Compendium