AI Medical Compendium

Customizing Tactile Sensors via Machine Learning-Driven Inverse Design.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 28, 2026

Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure-property relationship results in inefficient and suboptimal design... read more

Accelerated Reduced Field of View T2-Weighted Imaging of Pancreaticobiliary Disorders Using Deep Learning-Based Reconstruction: Reduction of Acquisition Time and Improvement of Image Quality.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jan 28, 2026

BACKGROUND: Reduced field-of-view (rFOV) T2WI improves in-plane spatial resolution. Deep learning-based reconstruction (DLR) has emerged as enhancing image quality. We compared examination time, image quality, and lesion detection rates between pancr... read more

Individualized Treatment in Distal and Medium Vessel Occlusion Stroke Using a Validated Explainable Counterfactual Treatment Estimation Model.

Annals of neurology Jan 28, 2026

OBJECTIVE: The optimal treatment for distal medium vessel occlusion (DMVO) stroke remains uncertain, and evidence comparing endovascular therapy (EVT) with medical management (MM) is limited. We aimed to develop and validate a predictive modeling too... read more

Towards the development of a management protocol for subjective cognitive decline: Insights from a cross-sectional and longitudinal analysis of multimodal data from a memory clinic.

Journal of Alzheimer's disease : JAD Jan 28, 2026

BackgroundSubjective cognitive decline (SCD) represents the first early symptomatic stage of Alzheimer's disease (AD).ObjectiveWe aimed to investigate the relationships between features in SCD and to assess the importance of these features in the fut... read more

How reproducible are data-driven subtypes of Alzheimer's disease atrophy?

Journal of Alzheimer's disease : JAD Jan 28, 2026

BackgroundAlzheimer's disease (AD) exhibits substantial clinical and biological heterogeneity, complicating efforts in treatment and intervention development. While new computational methods offer insights into AD subtyping and disease staging, the r... read more

Best of Both Worlds: Deep Learning Reconstruction Reduces MRI Acquisition Time and Improves Image Quality.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jan 28, 2026

AI-assisted optimization of lead-free Rb2SiX6 (X = F, Cl, Br, and I) perovskite solar cells with a 2D buffer layer design using DFT and SCAPS-1D.

Dalton transactions (Cambridge, England : 2003) Jan 28, 2026

In this work, the potential of the environmentally benign double halide perovskite Rb2SiX6 (X = F, Cl, Br, and I) as a solar cell absorber is investigated through the combined use of density functional theory (DFT), SCAPS-1D modeling, and machine lea... read more

Wearable Lateral Flow Patch for Noninvasive Sweat Protein Monitoring.

ACS sensors Jan 28, 2026

Traditional protein analysis methods rely on invasive sample collection and professional operators, which is not conducive to in situ monitoring. Despite recent advancements in wearable sweat sensors enabling noninvasive monitoring of various biochem... read more

Deep learning-based plaque characterization in hybrid IVUS-OCT images is superior to single-modality deep learning analysis and human experts: head-to-head comparison against histology.

Cardiovascular research Jan 28, 2026

AIMS: Hybrid intravascular ultrasound-optical coherence tomography (IVUS-OCT) can enable more accurate plaque characterization than single-modality intravascular imaging, enhancing treatment planning and vulnerable plaque detection. However, image in... read more

Automated Classification of Store-Operated Calcium Entry Activity and Disease Conditions in Murine Skeletal Muscle Images Using Machine Learning.

Muscle & nerve Jan 28, 2026

INTRODUCTION/AIMS: Accurate detection of pathophysiology from tissue images is critical for appropriate diagnoses and treatments of muscular dystrophies. The application of machine learning (ML) models offers a promising approach for image assessment... read more

Artificial Intelligence Medical Compendium