AI Medical Compendium

Aerial LiDAR-Based, Source-Resolved Methane Emissions Inventory: Permian Basin Case Study for Benchmarking U.S. Emissions.

Environmental science & technology May 5, 2026

Reducing methane emissions can slow near-term warming, yet building accurate inventories to inform mitigation efforts and track progress toward reduction targets remains challenging. We present a 2024 source-resolved methane inventory for the Permian... read more

Methodologies for mapping existent common specification, standards, and overlapping regulation for medical devices: a scoping review.

Expert review of medical devices May 5, 2026

INTRODUCTION: This scoping review mapped common specifications, standards and overlapping regulations for high-risk and innovative medical devices (MDs) and in vitro diagnostic medical devices (IVDs) in the European Union (EU), United States (US) and... read more

Multi-Objective Catalyst Discovery in High-Entropy Alloy Composition Space: The Role of Noble Metals on the Pareto Front for Oxygen Reduction Reaction.

Angewandte Chemie (International ed. in English) May 5, 2026

Discovering new materials for electrocatalytic energy conversion reactions is a key step toward energy sustainability. However, for catalysts to be viable in practice, they must perform in multiple, potentially conflicting objectives. We demonstrate ... read more

Comparing Conventional and Generative AI-Assisted Task Performance in Physiology Education.

Advances in physiology education May 5, 2026

This study examined the educational impact of generative artificial intelligence (AI) on learners' performance by comparing assignment scores obtained using AI-assisted report writing with those obtained using conventional information-gathering appro... read more

Prognostic significance of right ventricular myocardial features derived from echocardiography using a deep learning framework in pulmonary arterial hypertension.

Cardiology May 5, 2026

BACKGROUND: The function and myocardial characteristics of the right ventricle (RV) are linked to RV dysfunction and prognosis in pulmonary arterial hypertension (PAH). The prognostic value of RV myocardial features derived from echocardiography rema... read more

The AROMA dataset for automatic detection of artifact type and severity in retinal optical coherence tomography angiography.

Ophthalmic research May 5, 2026

INTRODUCTION: In recent years, retinal vascular imaging has attracted growing interest and is experiencing rapid technological advancements in imaging modalities such as swept-source optical coherence tomography angiography (SS OCT-A). OCT-A enables ... read more

Integrating multi-omics and machine learning to decipher the molecular pathways of bisphenol a-associated lactylation-related genes driving bladder cancer.

PloS one May 5, 2026

In this study, we systematically investigated bladder cancer-related gene signatures using a toxicogenomics-informed framework, with particular attention to genes associated with lactylation-related pathways. Multi-omics data from the Gene Expression... read more

Data fusion-based traffic prediction and software decision support for recreational suburban roads.

PloS one May 5, 2026

Predicting traffic flow on mountainous suburban roads is challenging due to highly variable environmental, temporal, and traffic-related conditions. This study focuses on Kandovan Road, a critical route with complex behavioral patterns influenced by ... read more

A framework for quantifying and leveraging uncertainty in pre-trained CT denoising model.

IEEE transactions on bio-medical engineering May 5, 2026

OBJECTIVE: To develop an architecture-agnostic framework that estimates, calibrates, and leverages total uncertainty (aleatoric + epistemic) in pre-trained, deep-learning denoising models for low-dose computed tomography (CT). METHODS: Aleatoric and ... read more

Fractal-domain Vision Graph Neural Network for Remote Sensing Ground Target Classification.

IEEE transactions on pattern analysis and machine intelligence May 5, 2026

To the best of our knowledge, this paper is the first to integrate fractal signal processing with vision graph neural networks, establishing a new graph representation learning paradigm consistent with fractal dynamics. Building on this foundation, w... read more

Artificial Intelligence Medical Compendium