Artificial Intelligence Medical Compendium

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

Showing 29,361 to 29,370 of 219,931 articles

Predicting Catalytic Pathways for Thiophenol Decomposition on TM-Doped MoS2: A Comparative Machine Learning Study.

Nanotechnology Apr 20, 2026
Thiophenol (TP), a high-toxicity compound prevalent in pharmaceuticals and industrial products, necessitates efficient catalytic decomposition methods. While two-dimensional MoSâ‚‚ offers a promising large surface area for catalysis, its inert basal pl... read more 

ReaderAdaptNet: Modeling Reader Variability in Breast Imaging with Reader-Specific Embeddings.

Physics in medicine and biology Apr 20, 2026
Inter-reader variability remains a major challenge in breast imaging interpretation, particularly for ordinal classification tasks such as breast density and background parenchymal enhancement (BPE). These visual assessments are prone to inconsistenc... read more 

Combining PC-SAFT and ML to Access Unknown API Solubilities.

Molecular pharmaceutics Apr 20, 2026
Predicting the solubility of active pharmaceutical ingredients (APIs) is essential throughout drug development. However, state-of-the-art modeling approaches require system-specific data sets for parameter estimation and are resource intensive. This ... read more 

Hierarchical Coarse-to-Fine cGAN for Subtype-Specific Freezing of Gait Signal Generation.

IEEE journal of biomedical and health informatics Apr 20, 2026
Freezing of gait (FOG), a debilitating symptom of Parkinson's disease, can manifest in three sub-types: shuffling, trembling, and akinesia, with occurrence and frequency varying across patients. While deep learning (DL) models show promise in FOG det... read more 

Learning Where to Look: Differentiable Slice Selection and Efficient Channel Attention for FCD-II MRI Classification.

IEEE journal of biomedical and health informatics Apr 20, 2026
Focal Cortical Dysplasia (FCD) is a major cause of drug-resistant epilepsy both in children and adults. In most such cases, surgery is the most effective treatment unless other treatments, such as rehabilitation, are the most effective intervention; ... 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 

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 

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 

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 

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 
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