Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 12,061 to 12,070 of 210,314 articles

XGBoost-based analysis of short- and long-term COVID-19 air quality impacts in Tehran, Iran.

Environmental monitoring and assessment
This study examines the air quality trends associated with COVID-19 lockdowns and the subsequent recovery on air quality in Tehran, employing an established XGBoost framework for de-weathering with daily data from 22 monitoring stations from 2019 to ... read more 

Evaluation of segmentation accuracy and the improvement of time effectiveness using deep learning-based segmentation in 177Lu-DOTATATE dosimetry : The type of article: original research article.

EJNMMI physics
BACKGROUND: The efficacy of deep learning-based artificial intelligence segmentation (AI-seg) in 177Lu-DOTATATE dosimetry remains underexplored. This study evaluates AI-seg's contouring accuracy, dosimetric reliability, and time efficiency. METHODS: ... read more 

Healthcare Providers' Perspectives on the Role of Artificial Intelligence in the Care of Patients with Inflammatory Bowel Disease: An International Survey.

Digestive diseases and sciences
BACKGROUND: Artificial intelligence (AI) is transforming inflammatory bowel disease (IBD) care, but concerns over data quality, privacy, and provider familiarity remain. AIMS: To examine international health care providers' (HCPs) perceptions, clinic... read more 

An adaptive bidirectional mapping framework for the customized design of interpenetrating phase composite scaffolds.

Computer methods in biomechanics and biomedical engineering
Structural optimization of artificial bone scaffolds faces trade-offs between mechanical integrity and permeability. To address this, we propose an integrated framework for interpenetrating phase composites (IPCs) using a hybrid TPMS topology (F-RD, ... read more 

Advances in machine learning for cardiac event prediction: where can we still improve?

Expert review of cardiovascular therapy
INTRODUCTION: Artificial intelligence (AI) is playing a transformative role in cardiovascular care by enabling more precise prediction of adverse clinical events across prevention, imaging, electrophysiology, and interventional practice. AI models in... read more 

Enhancing nitrogen conservation in aerobic composting through microbial and material interventions: Implications for carbon neutrality.

Waste management (New York, N.Y.)
Nitrogen loss during aerobic composting remains a critical barrier that hinders high-efficiency compost and less greenhouse gas emissions. This review systematically summarizes recent advances in nitrogen conservation strategies with an emphasis on m... read more 

Recent Advances in Biomedical Applications of Fluorescent Carbon Dots.

Journal of drug targeting
Carbon dots have become one of the most versatile families of nanomaterials, distinguished by their exceptional photoluminescence, water dispersibility, and intrinsic biocompatibility. In the past five years, substantial advances have been achieved i... read more 

Correlation of Patient-Reported Symptoms With Rhinogram Features Beyond Simple Airway Resistance.

The Annals of otology, rhinology, and laryngology
INTRODUCTION: Rhinomanometry, a reference measure for the nasal airway, is often considered a research tool with only weak-to-moderate correlations with patient symptoms. However, like lung spirometry curves offer information beyond forced expiratory... read more 

Prediction of groundwater level in shallow and complex aquifers using hybrid soft computing models and metaheuristic algorithms.

Scientific reports
Predicting groundwater level dynamics in shallow, unconfined aquifers remain a persistent challenge due to their high sensitivity to heterogeneous recharge, rapid anthropogenic extraction, and nonlinear interactions with climatic drivers conditions u... read more