AI Medical Compendium

Machine-Learning Source Apportionment of Particulate Pollution Aids Urban Emission Regulations.

Environmental science & technology Apr 8, 2026

Reducing urban particulate pollution is essential for improving air quality and reducing health risks. Achieving this objective requires accurate identification of the sources contributing to particulate matter (PM2.5), but existing approaches are of... read more

A practical framework for super-resolution of mass spectrometry images via adaptation of deep learning models.

The Analyst Apr 8, 2026

Achieving high spatial resolution is critical for revealing tissue-specific metabolite distributions in mass spectrometry imaging (MSI), yet practical constraints often limit achievable resolution. While deep learning offers promising post-acquisitio... read more

Comparative assessment of composition- and structure-based surrogate models across 2D materials databases.

Physical chemistry chemical physics : PCCP Apr 8, 2026

Machine learning (ML) surrogate models are increasingly employed to accelerate materials discovery, yet their transferability across heterogeneous databases remains unclear. In this study, we benchmark the accuracy and transferability of composition-... read more

Health Prediction Using Hybrid Deep Learning Models: A Transparent and Interpretable Approach.

The International journal of health planning and management Apr 8, 2026

Obesity has become alarming globally, with mounting health emergencies related to a number of chronic conditions like cardiovascular disease, diabetes, and metabolic disorders. Despite growing global awareness, accurately categorising obesity remains... read more

A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.

Epilepsia open Apr 8, 2026

OBJECTIVE: Currently available wearable devices for detecting focal seizures primarily target major motor seizures or involve semi-invasive subscalp implants. There is a pressing need for accurate, non-invasive methods to detect diverse focal seizure... read more

Large Language Models Outperform PGY-5 Residents on the Orthopaedic In-Training Examination: A Comparative Analysis of Six Cutting-Edge Large Language Models.

The Journal of the American Academy of Orthopaedic Surgeons Apr 8, 2026

INTRODUCTION: Large language models (LLMs), such as ChatGPT, are becoming increasingly prevalent, particularly in medical education and clinical assessments. Previous LLMs were seen to perform at the level of a first-year resident on the 2022 Orthopa... read more

Healthcare-associated infections in Italian long-term care facilities: a machine learning analysis of a 12-month cohort.

Infection control and hospital epidemiology Apr 8, 2026

OBJECTIVES: To estimate the incidence of healthcare-associated infections (HAIs) in Italian long-term care facilities (LTCFs) and to evaluate whether an artificial intelligence (AI) approach, through unsupervised machine learning (ML), could stratify... read more

Predicting dairy cattle PL via longitudinal rumen microbiome dynamics using machine learning approaches.

Microbiology spectrum Apr 8, 2026

Aging is a spontaneous biological process involving intricate regulatory mechanisms over time. Studies in mice and humans indicate that the gut microbiota is closely linked to the aging process and plays an important role in it. However, the relation... read more

Addressing Artificial Intelligence (AI) in the Media: A Conversation With Merel Huisman and Susan Shelmardine, From the AJR Video Series on AI in Radiology.

AJR. American journal of roentgenology Apr 8, 2026

Responding to an Institutional Directive to Implement Artificial Intelligence for Prostate MRI Interpretation and Reporting.