AI Medical Compendium

Plant invasion reduces density-dependent pollination but not florivory.

Oecologia Apr 16, 2026

Understanding the impact of plant invasion on multitrophic community dynamics and coexistence requires widespread and frequent monitoring. Deep learning can be used to automate the measurement of indicators of ecological interactions and ecosystem fu... read more

Coronary Computed Tomography and Artificial Intelligence-based Plaque Analysis.

Current atherosclerosis reports Apr 16, 2026

Digital bioethics: exploring an emerging field.

Medicine, health care, and philosophy Apr 16, 2026

The uptake of social science methods by bioethics significantly expanded its methodological spectrum, raising new theoretical, methodological, and practical questions. Recently, we are witnessing another trend, adding advanced data science methods to... read more

Multimodal imaging in left main and bifurcation revascularization: contemporary evidence and comparative modalities review.

The international journal of cardiovascular imaging Apr 16, 2026

Left main (LM) and bifurcation coronary artery disease (CAD) are anatomically complex lesions which require detailed planning and precise execution for successful revascularization. Conventional angiography has limited ability to characterize plaque ... read more

The predictive health index: a turning point in the transition from disease medicine to preventive medicine.

Hormones (Athens, Greece) Apr 16, 2026

Design and first experimental results of an edgeless PET prototype for breast imaging: DeepBreast.

EJNMMI physics Apr 16, 2026

BACKGROUND: Breast cancer causes the largest number of cancer-related deaths among women worldwide. With the aim of improving Positron Emission Tomography (PET) technology for accurate breast cancer diagnosis and staging, we propose a system design b... read more

Ancestry estimation: Methodological evolution and forensic implications.

Forensic science, medicine, and pathology Apr 16, 2026

Unraveling defect-mediated ion transport behavior in anti-perovskite solid-state electrolytes via machine learning molecular dynamics simulations.

Physical chemistry chemical physics : PCCP Apr 16, 2026

Anti-perovskite (AP) solid-state electrolytes (SSEs) have emerged as promising candidates for high-safety solid-state batteries due to their wide electrochemical window and good compatibility with lithium metal anodes. However, their relatively low i... read more

Machine Learning-Based Synthetic Computed Tomography Derived From Temporal Bone Magnetic Resonance Imaging.

JAMA otolaryngology-- head & neck surgery Apr 16, 2026

IMPORTANCE: For diagnostics and presurgical planning in otology, both magnetic resonance imaging (MRI) and computed tomography (CT) are frequently required to visualize soft tissues and bone structures. Ideally, visualization of both soft and bony ti... read more

DeFecT-FF: a machine learning force field framework for high throughput defect modeling in CdTe-based solar cells.