Latest AI and machine learning research in clinical trials for healthcare professionals.
While medication use is common among pregnant women, medication safety remains insufficiently characterized because studies in pregnant women are challenging due to safety concerns. The recent digitization of healthcare databases and advances in computational methods have created new opportunities for large-scale, retrospective drug safety evaluations. Here, we present PregMedNet, a platform that ...
This research developed and validated a comprehensive multimodal assessment system integrating artificial intelligence for aerobic gymnastics training evaluation. A 12-week randomized comparative study recruited 600 participants (300 national-level athletes, mean age 22.4 ± 3.2 years; and 300 university students, mean age 20.8 ± 2.1 years) to establish normative performance databases and validate ...
The continuous monitoring of safety within underground coal mines generates multivariate sensor data of high dimensionality, posing substantial challe...
IMPORTANCE: Urogynecology patients increasingly investigate their problems using technology-based resources, yet the effect of artificial intelligence...
BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (NICUs), yet the role of nurse-led governance in sh...
BACKGROUND: The nursing process is a systematic, patient-centered framework essential for clinical reasoning and decision-making in nursing education....
Epigenetic editing achieves durable gene silencing through targeted modification of chromatin and DNA methylation states without altering the genomic ...
Tight glycemic control reduces acute complications (hypoglycemia, hyperglycemia) and long-term microvascular/macrovascular risks. The application of A...
BACKGROUND: Postcare instructions play a vital role in preventive health care. Traditionally, information on post-dental procedure care is provided th...
The use of artificial intelligence (AI) is anticipated to transform mental health care. However, the rapid research growth in this field has outpaced ...
OBJECTIVES: An evidence synthesis informed the 2023 WHO infection prevention and control (IPC) guideline for Ebola disease (EBOD) and Marburg disease ...
INTRODUCTION: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) accelerate disease progression and increase mortality. Accurate se...
Concerns about facial skin health and aesthetics are increased among the male demographic, necessitating in-depth exploration of lifestyle factors on ...
Artificial intelligence (AI) is transforming wilderness Search and Rescue (SAR), where time constraints, austere conditions, and limited personnel hav...
OBJECTIVES: This randomized clinical study aimed to assess implant placement accuracy and radiographic outcomes of computer-guided versus freehand rid...
University students now use artificial intelligence (AI) tools in several academic activities, including information retrieval, writing support, and p...
Safety helmet compliance monitoring remains challenging because helmets often occupy only a few pixels in wide-area surveillance images. This study ta...
INTRODUCTION: Assessment of renal tissue and renal tumor stiffness may provide complementary information for tissue characterization; however, convent...
Though neurovascular coupling has long been studied, a comprehensive characterization of the extent, kinetics, and variability of individual microvess...
PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...