Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Large language models (LLMs) are increasingly used in health professions education; however, the role of prompt design in shaping their outputs remains poorly understood in clinical training contexts. In dentistry, where the presentation of information, perceived credibility, and procedural reasoning are important, the effects of instructional framing and evidence requirements on artif...
There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring rapid process development and cost-efficient manufacturing. Indeed, Food and Drug Administration (FDA) introduced the Process Analytical Technology (PAT) as an initiative enabling manufacturers to measure and control in real-time processes based on th...
Neurodegenerative diseases are biologically heterogeneous disorders characterized by progressive neuronal dysfunction, overlapping molecular pathologi...
RATIONALE AND OBJECTIVES: This study evaluated the efficacy of a combined artificial intelligence (AI)-assisted and traditional teaching model in enha...
BACKGROUND: Cardiometabolic heart failure with preserved ejection fraction (HFpEF) is a high-risk phenotype primarily driven by metabolic syndrome, wi...
BACKGROUND: Patients increasingly turn to the Internet and, more recently, to Large Language Models (LLMs) to seek answers to dental questions. Howeve...
BACKGROUND: Pulmonary fibrosis (PF) is a progressive, fatal interstitial lung disease with limited curative therapeutic options. Yin-Huang-Qing-Fei (Y...
BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management challenges and limited long-term survival for advance...
BACKGROUND: Osteogenesis imperfecta (OI) is a rare genetic disorder characterized by bone fragility and recurrent fractures. Emerging biologics demons...
The European Thoracic Oncology Platform (ETOP) International Breast Cancer Study Group (IBCSG) Partners Foundation initiated a series of workshops for...
While medication use is common among pregnant women, medication safety remains insufficiently characterized because studies in pregnant women are chal...
This research developed and validated a comprehensive multimodal assessment system integrating artificial intelligence for aerobic gymnastics training...
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 ...