Artificial Intelligence Medical Compendium

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

Showing 13,391 to 13,400 of 211,153 articles

Breastfeeding Prediction Using Machine Learning: Insights into Key Predictors and Model Performance.

Breastfeeding medicine : the official journal of the Academy of Breastfeeding Medicine
BACKGROUND: Breastfeeding shows persistent disparities shaped by complex maternal, infant, and household factors, making prediction challenging. As traditional models struggle to capture such complexity, this study aims to identify predictors of ever... read more 

Machine learning-assisted clone selection for intensified cell culture processes.

Biotechnology progress
Intensified fed-batch processes are becoming increasingly prevalent among biomanufacturers due to their superior space-time yields relative to traditional, non-intensified fed-batch processes. However, the shift towards intensified manufacturing has ... read more 

Skeletal Muscle Mass Estimation from Lower Leg Digital Images Using Machine Learning.

Progress in rehabilitation medicine
OBJECTIVES: In the current study, a convolutional neural network (CNN) model for estimating the skeletal muscle index (SMI) from lower leg digital images was developed, and its predictive performance was evaluated. METHODS: One hundred healthy adults... read more 

Human-AI Interaction in Kidney Transplant Decision Support Systems: Qualitative Study of Patient and Support Person Expectations.

Journal of medical Internet research
BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, including clinical decision-making. AI-based decision support systems (DSS) can enhance early risk detection and treatment optimization. However, the perspectives of patien... read more 

Teaching Ethical AI Use in Graduate Nursing Programs: A Scaffolded Model for Professional Identity Formation.

The Journal of nursing education
BACKGROUND: Generative artificial intelligence (AI) has entered graduate nursing education faster than programs can respond, raising questions about professional identity formation, epistemic accountability, and academic integrity. METHOD: This conce... read more 

The role of AI-mediated metacognitive interventions in EFL writing development: A cross-sectional study of textual accuracy, lexical sophistication, and cohesion.

Acta psychologica
This paper examines the role of generative AI support in enhancing the quality of English-as-a-foreign-language (EFL) writing in Chinese higher education by enhancing the metacognitive control of the learners in real coursework. Based on self-regulat... read more 

Improved Prediction of Invasive Bacterial Infections in Febrile Infants Using Machine Learning.

Hospital pediatrics
BACKGROUND: Existing guidelines for febrile infants aged 8 to 60 days use clinical appearance, age, and laboratory test results to assess the risk of invasive bacterial infections (IBIs) with variable performance. This study aimed to (1) develop and ... read more 

A Simplified, Tier-Based Method for Clinical Evaluation of Diastolic Function.

European heart journal. Cardiovascular Imaging
Assessment of left ventricular diastolic function is inherently complex, yet it must be sufficiently simplified for consistent application in clinical practice. Interpretation is challenged by overlapping terminology, load dependence of hemodynamic v... read more 

End-user perspectives on the use of personal health information for AI development and the use of AI in care: an interview study.

Journal of primary health care
INTRODUCTION: The rapid advancement of artificial intelligence (AI) in health care necessitates that decision-makers consider end-user views on secondary data use and the application of AI in clinical settings. AIM: The aim of this study was to explo... read more 

Deep learning-driven performance prediction and design of high-DoF MEMS resonators.

Microsystems & nanoengineering
The design of microelectromechanical systems (MEMS) resonators has long been hindered by high computational costs and restricted structural degrees of freedom. This study introduces a structural design framework based on a residual network-enabled so... read more