Artificial Intelligence Medical Compendium

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

Showing 25,731 to 25,740 of 217,759 articles

Deep Learning Reconstruction Versus Hybrid Iterative Reconstruction for Acute Cerebral Infarction Detection on 135 kVp Non-Contrast Brain CT.

Clinical neuroradiology
PURPOSE: Deep learning reconstruction (DLR) is useful to reduce image noise and improve contrast resolution compared with hybrid iterative reconstruction (Hybrid IR). This study compared image quality and infarct detection between DLR and Hybrid IR u... read more 

Understanding AI risks from its characteristics and NMPA regulation perspectives.

Insights into imaging
AI is reshaping medical research and healthcare delivery, yet the translation of AI innovations into clinically approved medical devices remains limited. This article explores the critical role of regulatory frameworks in bridging this translational ... read more 

ChatGPT in intervention planning: Advancing clinical relevance and targeted care in cognitive rehabilitation.

Neuropsychology
OBJECTIVE: We aim to introduce ChatGPT as a supportive tool in cognitive rehabilitation, examine the feasibility of its integration into clinical practice, and propose guidelines for its integration into evidence-based practice. The article is intend... read more 

Nurse Educators' ChatGPT Use in Canadian Undergraduate Nursing Education: A Qualitative Study.

The Journal of nursing education
BACKGROUND: Heath care and education have both experienced rapid growth in artificial intelligence (AI) use, especially with generative tools such as ChatGPT. This study explores nurse educators' perspectives on ChatGPT's educational value, implement... read more 

Optimizing AI Voice for Adolescent Health: Preferences and Trustworthiness Across Teens and Parent.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
INTRODUCTION: Communicating about adolescent health topics with adolescents and their parents is crucial in improving health and health behaviors. This study aimed to identify preferred AI voice characteristics and understand factors influencing perc... read more 

Code Cracked: Using Artificial Intelligence to Transform Nursing Case Studies Into Virtual Escape Rooms.

The Journal of nursing education
BACKGROUND: Artificial intelligence (AI) is transforming nursing education by offering innovative strategies to support clinical judgment, engagement, and competency development. METHOD: This project integrated an AI platform to generate escape-room ... 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
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 

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

Environmental science & technology
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 

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

Annals of plastic surgery
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