AI Medical Compendium

Deep learning-assisted proteomic dissection reveals sex biased and shared proteomic patterns in Populus deltoides under waterlogging stress and subsequent recovery.

Tree physiology Apr 27, 2026

Sexual dimorphism in dioecious tree species and proteomic responses under stress represents an underappreciated axis of stress resilience. Here, we investigated sex-biased proteomic patterns in Populus deltoides exposed to long-term waterlogging and ... read more

Assessing large language models in radiation risk communication: susceptibility, cultural-linguistic effects, and ethical reasoning.

International journal of radiation biology Apr 27, 2026

PURPOSE: To assess the extent to which large language models (LLMs) amplify or attenuate inaccurate or contested narratives in radiation contexts and to evaluate their potential influence on public risk perception, patient communication in radiothera... read more

Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health Monitoring.

ACS sensors Apr 27, 2026

Wearable sensing technologies hold great promise for continuous and non-invasive monitoring of cardiovascular health, offering new avenues for early detection and effective management of cardiovascular diseases. Despite these advances, several critic... read more

UAV-based real-time detection of corn earworm using EfficientNet and machine learning.

Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes Apr 27, 2026

Early detection of corn earworm (Helicoverpa zea) is crucial for subsiding corn crop losses and make sure supportable agricultural productivity. Traditional monitoring methods, composed of manual field inspections and pheromone traps, are often time-... read more

Implementation of pathogen genomics in clinical microbiology laboratories.

Clinical microbiology reviews Apr 27, 2026

SUMMARYPathogen genomics, including whole-genome sequencing (WGS) and clinical metagenomics, is a transformative technology increasingly being implemented in clinical microbiology, including in hospital laboratories. Pathogen genomics can improve the... read more

Insects shape the cadaver decomposition microbiome and postmortem interval estimation accuracy.

mSystems Apr 27, 2026

The breakdown and recycling of carrion is a crucial ecological process that largely relies on a community of necrophagous insects and microbes. Recent work has shown that a specialized microbial network, likely dispersed throughout the environment by... read more

Gram staining decipherment using an artificial intelligence-powered smartphone-based application.

Microbiology spectrum Apr 27, 2026

Gram staining provides rapid microbiological information that may assist in empirical antimicrobial selection; however, the results are often interpreted by microbiological specialists who are not always available. Therefore, we developed a computer-... read more

Development and Deployment of an Explainable Machine Learning Model for Preoperative Prediction of Thigh Liposuction Volume in Female Patients.

Annals of plastic surgery Apr 27, 2026

BACKGROUND: Accurate preoperative estimation of liposuction volume is essential for achieving optimal aesthetic outcomes and minimizing surgical complications. However, conventional assessment methods are primarily subjective and rely heavily on the ... read more

Mapping PFAS Exceedance Risk in China's Surface Water: A Machine Learning Approach Informed by Source Distribution.

Environmental science & technology Apr 27, 2026

Per- and polyfluoroalkyl substances (PFAS) cause pervasive contamination of surface water, which presents a substantial public health challenge. China is a leading global producer and consumer of fluorinated chemicals. Therefore, the country faces an... read more

Machine Learning Models Using Hospital Admission Characteristics Do Not Optimally Predict Nosocomial Infection Development in a Global Cirrhosis Cohort.

The American journal of gastroenterology Apr 27, 2026

BACKGROUND: Nosocomial infections (NI) in cirrhosis are associated with high mortality but could be preventable. Logistic regression (LR) models have failed to identify high-risk patients. We aimed to develop machine learning (ML) models to predict N... read more

Artificial Intelligence Medical Compendium