AI Medical Compendium

State-of-the-Art Analytical Technologies for Detection of Food Adulteration: Advances, Validation, and Future Horizons.

Critical reviews in analytical chemistry Feb 13, 2026

Food adulteration poses an escalating global crisis, threatening public health, economic stability, and consumer trust while costing the food industry billions annually and compromising international trade relationships. We systematically evaluate cu... read more

Whole-body magnetic resonance imaging in rheumatology: advancements, key applications and future perspectives.

La Radiologia medica Feb 13, 2026

Whole-body magnetic resonance imaging (WB-MRI) is widely used in rheumatology to assess peripheral and axial joints and entheses throughout the body. Despite some limitations, it has potential in determining the overall inflammatory burden, tracking ... read more

Neural Vision Restoration in Ophthalmology.

Annals of biomedical engineering Feb 13, 2026

Neural vision restoration is a rapidly advancing discipline at the intersection of neuroscience, bioengineering, and ophthalmology. This review synthesizes emerging strategies to restore visual perception through retinal prostheses, optic nerve and t... read more

Multi-view deep learning for automated lymphoma staging from 18F-FDG PET/CT: physician-level accuracy with high-throughput workflow.

EJNMMI research Feb 13, 2026

ContraIndicator: A Natural Language Processing-Based Approach to Potential Drug-Drug Interaction Detection in Pediatric Intensive Care.

Clinical drug investigation Feb 13, 2026

BACKGROUND AND OBJECTIVES: The intricate nature of pediatric patients' physiology and the frequent administration of multiple medications in pediatric intensive care units expose hospitalized patients to potential drug-drug interactions. Therefore, t... read more

Explainable ML for ACS culprit plaques: a multidimensional CCTA model highlighting hemodynamic increment.

The international journal of cardiovascular imaging Feb 13, 2026

To develop an interpretable, multi-parameter machine learning (ML) model that integrates plaque morphology, composition, perivascular inflammation, and comprehensive hemodynamic descriptors to identify future acute coronary syndrome (ACS) culprit pla... read more

Capturing silent oxidative stress in early Alzheimer's disease: prediction of CSF biomarkers from sleep qEEG data.

GeroScience Feb 13, 2026

Oxidative stress is a central pathogenic process in the earliest stages of Alzheimer's disease (AD), promoting non-enzymatic protein modifications that accumulate in cerebrospinal fluid (CSF) before measurable neurodegeneration. These alterations imp... read more

Machine learning and AI-Assisted red blood cell morphology analysis for effective thalassemia screening.

Annals of hematology Feb 13, 2026

Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial.

European radiology Feb 13, 2026

OBJECTIVES: Non-contrast MRI (bi-parametric MRI-bpMRI) has been investigated as a potential tool to be integrated in clinically significant prostate cancer (csPCa) screening. Moreover, artificial intelligence (AI) is emerging too as a potential suppo... read more

A modern radiologist's guide to artificial intelligence.

Pediatric radiology Feb 13, 2026

Artificial intelligence (AI) has the potential to disrupt many fields, and radiology is no exception. The applications of AI in this field go beyond automated diagnosis since they can be used in any stage of the radiological pipeline, from patient re... read more

Artificial Intelligence Medical Compendium