Artificial Intelligence Medical Compendium

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

Showing 6,611 to 6,620 of 205,745 articles

Pandemic emergency: A multi-level AI framework for analyzing psychological impact through public discourse.

Applied psychology. Health and well-being
Emergency management has become a widely discussed topic in recent years, particularly in relation to different types of emergencies such as climate change, natural disasters, public health, and armed conflicts. The Covid-19 pandemic has triggered un... read more 

Development of the ChatGPT Attitude Scale for Nursing Education: A Methodological Study.

Nursing & health sciences
This methodological study aimed to develop a reliable and valid scale to measure nursing students' attitudes toward the use of ChatGPT in nursing education. This study was conducted at a state university in Turkey from April to September 2023. Scale ... read more 

Assessing the Reliability, Accuracy, and Relevance of Artificial Intelligence Speech Recognition for Clinical Documentation: A Scoping Review.

Journal of evaluation in clinical practice
BACKGROUND: Background Clinical documentation is a major contributor to clinician workload and burnout, with physicians spending more than half of their workday on electronic health record (EHR) tasks. Artificial intelligence (AI)-based speech recogn... read more 

Integrated Experimental and Computational Evaluation of the Gut-Targeted Anticoccidial Potential of Agaricus bisporus Methanolic Extract.

Biomedical chromatography : BMC
Coccidiosis caused by Eimeria spp. is a major constraint to global poultry production, causing economic losses exceeding USD 13 billion annually. Growing drug resistance from prolonged anticoccidial use highlights the need for safer, eco-friendly alt... read more 

Breaking the Limits of Low-Field MRI: Deep Learning Approaches to Image Enhancement.

NMR in biomedicine
Low-field magnetic resonance imaging (LF-MRI) has emerged as a transformative technology, offering portable and cost-effective solutions for medical imaging in resource-limited settings. However, LF-MRI systems face inherent challenges, including low... read more 

CEUS-Based Microvascular Invasion Predictor in HCC: Improving Prognostic Stratification Following Thermal Ablation.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND & AIMS: Microvascular invasion (MVI) critically impacts hepatocellular carcinoma (HCC) management. We aimed to develop and validate a deep learning model integrating contrast-enhanced ultrasound (CEUS) and clinical features for assessing M... read more 

The DeepJoint Algorithm: An Innovative Approach for Studying the Longitudinal Evolution of Quantitative Mammographic Density and Its Association With Screen-Detected Breast Cancer Risk.

Biometrical journal. Biometrische Zeitschrift
High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated machine and deep learning-based methods provide more consistent and precise measurements compared to s... read more 

Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity.

Biometrical journal. Biometrische Zeitschrift
We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model- and design-based simulations, with the ... read more