AI Medical Compendium

Risk prediction models for incident heart failure: a systematic review and meta-analysis.

Heart (British Cardiac Society) Apr 20, 2026

BACKGROUND: Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their validation remains unclear. Our objective was to summarise... read more

MarineTox Predictor: An Online Library Platform for Enhancing Low-Resourced Saltwater Ecotoxicity Prediction via Knowledge Sharing from Freshwater Ecotoxicity.

Environmental science & technology Apr 20, 2026

To assess the environmental risk of chemicals, extensive freshwater ecotoxicity data and prediction models have been established. However, due to the scarcity of saltwater ecotoxicity data, no model was reported to predict toxicity endpoints across v... read more

The Potency of DCLGAN for Reducing Scan time in PET/CT imaging with different radiotracers of clinical importance.

AJNR. American journal of neuroradiology Apr 20, 2026

BACKGROUND AND PURPOSE: Shortening PET/CT acquisition without degrading diagnostic or quantitative performance would improve patient comfort and scanner throughput. We evaluated a Dual-Contrastive Learning GAN (DCLGAN) for reconstructing high-quality... read more

Composition-Dependent Li-Ion Transport in Mixed-Metal ZIF-62 Glasses Revealed by Machine-Learning Molecular Dynamics.

ACS applied materials & interfaces Apr 20, 2026

Understanding ion transport in metal-organic frameworks requires resolving the interplay between framework dynamics, local disorder, and thermally activated hopping on extended time and length scales. Here, we develop a robust deep neural network (DN... read more

Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning.

IEEE transactions on pattern analysis and machine intelligence Apr 20, 2026

Continuous monitoring of glacier calving fronts is essential for sea level rise projections. This study benchmarks Deep Learning systems for front delineation in Synthetic Aperture Radar imagery. While Deep Learning systems exhibit errors up to 221 m... read more

Ultrafast Infant Brain Quantitative MRI Using Overlapping-Echo Acquisition with Volumetric Physical Simulation of Slice-level Non-Idealities.

IEEE transactions on bio-medical engineering Apr 20, 2026

OBJECTIVE: Quantitative MRI (qMRI) is sensitive to brain microstructural and metabolic changes; however, existing techniques often unsuitable for assessing postnatal brain development due to prolonged scan time, non-ideal imaging conditions, and seve... read more

Near-Real-Time Multi-Parametric Quantitative MRI using Parallel Non-Cartesian 6D Spatial-Temporal Dictionary Learning Neural Networks.

IEEE transactions on bio-medical engineering Apr 20, 2026

OBJECTIVE: Multi-parametric quantitative MRI (qMRI) enables precise targeting during image-guided interventions such as deep brain stimulation. To address the demand for higher temporal resolution in multi-parametric qMRI of the brain, we propose an ... read more

Spectral-Spatial-Temporal Kolmogorov-Arnold Network for Hyperspectral Change Detection.

IEEE transactions on neural networks and learning systems Apr 20, 2026

Hyperspectral change detection (HCD) aims to recognize altered areas between hyperspectral images (HSIs) captured at different times, which is one of the crucial research areas in remote sensing. In recent years, convolutional neural networks (CNNs) ... read more

SSiamese Capsule Network (SNNCap) : Cognitive Analysis for Alzheimer's Disease Classification from MRI Data.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 20, 2026

Alzheimer's Disease (AD) detection is essential for timely treatment and better patient care. Magnetic Resonance Imaging (MRI) is a technique in which radio waves and magnetic fields are used to capture high-resolution, multi-dimensional representati... read more

Continuous Mobile Audio Monitoring for Sleep Apnea Detection.

IEEE journal of biomedical and health informatics Apr 20, 2026

Audio-based sleep apnea detection methods hold great potential to improve access to diagnosis, by providing unattended sleep apnea screening at home via sound collected from mobile sensors during sleep. Our research involved a thorough comparison and... read more

Artificial Intelligence Medical Compendium