Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Visual identification and verification of medications during dispensing and administration are prone to human error, particularly in high-pressure and high-volume clinical settings. Misidentification can lead to medication errors, posing risks to patient safety and placing a burden on health care systems. Recent advances in computer vision and object detection offer promising solutions...
OBJECTIVE: To explore the utility of natural language processing (NLP) and machine learning (ML) techniques to identify unsafe conditions leading to cardiovascular diagnostic errors using patient safety event (PSE) reports data. METHODS: PSE reports from January 2016 to August 2021 from a multi-hospital healthcare system in the mid-Atlantic region of the United States were included in this study. ...
As the food industry continues to evolves and global trade expands, food safety challenges have become increasingly diverse, concealed, and frequent. ...
IMPORTANCE: Transcranial direct current stimulation (tDCS) is known to be promising for depression, but heterogeneity across studies highlights the ne...
OncoEducate is a clinician-supervised generative artificial intelligence (AI) application designed to deliver standardized, regimen-level, plain-langu...
Anesthesia for pediatric neurosurgery represents a highly complex and challenging field, characterized by age-dependent physiological variability, het...
BACKGROUND: Risk-of-bias (RoB) assessment is essential for evidence synthesis but remains time-consuming and inherently subjective. Artificial intelli...
INTRODUCTION: Control of blood pressure (BP) continues to be a challenge globally. Clinical trials have shown home BP monitoring and text-message inte...
PURPOSE: The artificial intelligence (AI) implementation in personalized medicine has transformed drug safety, especially in breast cancer treatment. ...
While thousands of AI prediction models are published annually, few are adopted into routine practice, partly because improved statistical performance...
The assessment of coronal balance is critical for cosmetic appearance and quality of life in patients with adolescent idiopathic scoliosis (AIS), yet ...
The prescription is a critical bridge between medical diagnosis and therapeutic intervention, embodying a complex decision that balances medical evide...
BACKGROUND: Major depressive disorder (MDD) is common and disabling, and antidepressant selection often follows a trial-and-error process. Predictix i...
BACKGROUND: Traditional screening for adolescent depression primarily relies on self-reported symptoms. However, this method is vulnerable to under-re...
Alzheimer's disease is a progressive neurodegenerative disorder, and the most common cause of dementia, which causes 60-70 % of cases worldwide, and i...
Disruption of mitochondrial membrane potential (SR-MMP, Stress Response─Mitochondrial Membrane Potential) is a critical toxicity end point in early dr...
BACKGROUND: Large language models (LLMs) have emerged as transformative technologies, revolutionising natural language understanding and generation ac...
PURPOSE: Machine learning-based coronary computed tomography fractional flow reserve (CT-FFR) holds great potential for assessing coronary ischemic st...
T1 high-grade (T1HG) bladder cancer represents an aggressive subset of non-muscle-invasive bladder cancer (NMIBC) with frequent Bacillus Calmette-Guér...
BACKGROUND: Long-acting injectable PrEP (LA-PrEP) is a novel HIV prevention modality recently approved in Europe, offering an important addition to HI...