AI Medical Compendium

BDFlower: Growth stage flower image dataset for precision agriculture and floriculture.

Data in brief Apr 13, 2026

This study presents a comprehensive BDFlower growth stage dataset designed to support research in precision agriculture and floriculture. The dataset encompasses eight common flower species found in Bangladesh: Bush Allamanda, Red Hibiscus, Yellow Be... read more

Cardiovascular toxicity of ethyl maltol exposure: a comprehensive investigation from virtual screening to experimental validation.

Archives of toxicology Apr 13, 2026

Ethyl maltol is a ubiquitous synthetic flavor enhancer. Despite its widespread use in foods, beverages, and electronic cigarettes, and its potential for environmental dispersion, its long-term cardiovascular safety remains unevaluated. Here, we emplo... read more

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Apr 13, 2026

BACKGROUND: Accurate prediction of early recurrence (ER) after radical resection remains a critical challenge in pancreatic ductal adenocarcinoma (PDAC). This study aimed to develop and validate an integrated radiomic-pathology (Rad-Path) model for E... read more

Letter regarding "The role of reviewers in the era of systematic reviews and meta-analysis: A practical guide for researchers".

Biomolecules & biomedicine Apr 13, 2026

This correspondence addresses three significant concerns regarding the current peer review process for systematic reviews and meta-analyses. First, while artificial intelligence tools can enhance language and readability, their implementation necessi... read more

Application of artificial intelligence chatbots in the medical field: latent dirichlet allocation analyses.

Informatics for health & social care Apr 13, 2026

To identify research topics in medical chatbots and analyze their temporal trends, geographic distributions, and journal preferences. Latent Dirichlet Allocation (LDA) topic modeling was applied to 9,650 publications (1986-2024), extracting eight cor... read more

A Pt/Pd-Decorated SnO2-Based Electronic Nose for High-Precision Breath Analysis in Diagnosing SIBO.

ACS sensors Apr 13, 2026

Exhaled human breath contains disease-related biomarkers, enabling non-invasive medical diagnostics. Small intestinal bacterial overgrowth (SIBO) is traditionally diagnosed through hydrogen measurement, a method that offers limited specificity and se... read more

Machine Learning Identifies TRAPPC13/COPS5 as Biomarkers and Vesicle Transport Subtypes in Parkinson's Disease.

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques Apr 13, 2026

BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder characterized by neuron loss and abnormal protein trafficking. Dysregulation of vesicle-mediated transport contributes to pathogenesis, but its diagnostic value and immune associati... read more

The impact of integrating artificial intelligence into regulatory affairs functions in the Medtech industry.

Expert review of medical devices Apr 13, 2026

INTRODUCTION: Artificial intelligence is becoming an important tool in the medical technology industry where its implementation has the potential to streamline processes and provide rapid and efficient data analysis and interpretation in the regulato... read more

Emerging applications of large language models in ecology and conservation science.

Conservation biology : the journal of the Society for Conservation Biology Apr 13, 2026

Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep-learning architectures, these models can support a wide range ... read more

Exploring Chemoinformatics Aspects of Few-Shot Meta-Learning by Example of an Infinite Dilution Activity Coefficient in Ionic Liquid Prediction.

Journal of chemical information and modeling Apr 13, 2026

Collection of substantial training sets for structure-property modeling often poses a significant challenge, especially for niche sorption systems. This study provides computational experiments with meta-learning that presents a compelling solution t... read more

Artificial Intelligence Medical Compendium