Latest AI and machine learning research in clinical trials for healthcare professionals.
The perithyroidal adipose tissue (PAT), given its direct anatomical proximity to the thyroid gland, has long been postulated as a modulator of the thyroid tumor microenvironment. However, its cellular composition, functional heterogeneity, and specific roles in thyroid cancer progression remain unknown. To address these knowledge gap, we performed single-nucleus RNA sequencing of PAT from patients...
STUDY OBJECTIVES: To evaluate the performance and safety of a large language model in interpreting drug-induced sleep endoscopy (DISE) videos and providing treatment recommendations for obstructive sleep apnea, compared to expert human raters and the contemporaneous clinical report. METHODS: This prospective, blinded study included 16 adults undergoing drug-induced sleep endoscopy at a tertiary ac...
BACKGROUND: Type 1 diabetes mellitus (T1DM) in children requires sustained self-management to achieve glycemic targets. Continuous glucose monitoring ...
OBJECTIVE: The integration of Digital Health Technologies (DHTs) in clinical trials enhances patient recruitment, streamlines data collection, and pro...
Clinical anatomy has become a prominent setting for educational innovation because it links anatomical science with diagnostic imaging, procedural pra...
RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-modifying antirheumatic drug (DMARD) therapy in adult...
BACKGROUND: Artificial intelligence (AI) has the potential to transform chest radiography interpretation by enhancing diagnostic accuracy, identifying...
Depression involves dysregulation across large-scale neural networks, yet substantial heterogeneity in resting-state functional connectivity (rsFC) ac...
Artificial intelligence (AI) has rapidly evolved into a transformative adjunct to gastrointestinal (GI) endoscopy, particularly through deep-learning-...
BACKGROUND: Behavioural and psychological symptoms of dementia (BPSD) affect over 90% of people living with dementia and are a major contributor to st...
BACKGROUND: Large language models (LLMs) are increasingly used in health professions education; however, the role of prompt design in shaping their ou...
There is a growing demand in the pharmaceutical industry to optimize analytical methodologies, reducing time and resource consumption while ensuring r...
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...
Climate change is an important public health challenge, and healthcare itself contributes to greenhouse gas emissions. Within healthcare, radiology is...
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...