Latest AI and machine learning research in clinical trials for healthcare professionals.
Reperfusion therapy has profoundly transformed acute ischemic stroke (AIS) care. Initially, treatment decisions relied primarily on time from symptom onset. However, growing evidence has shown that the extent of irreversibly injured tissue and the presence of salvageable brain tissue determine the efficacy and safety of reperfusion therapy. This caused a paradigm shift from time-based selection to...
BACKGROUND: Compared with conventional colonoscopy, computer-assisted adenoma detection (CADe) colonoscopy and Endocuff-Vision (EV) have been shown to increase the adenoma detection rate (ADR). However, the evidence for whether their combination further increases the ADR compared with that of EV alone is limited. The aim was to compare the combination of CADe and EV, with EV alone. METHODS: In all...
BACKGROUND: The adoption of artificial intelligence (AI) scribes has grown rapidly in recent years, aiming to improve clinical workflow, increase effi...
BACKGROUND: Rare diseases affect more than 300 million people globally, and only about 5% have approved therapies. Lysosomal storage disorders (LSDs) ...
OBJECTIVES: Healthcare systems are now funding implementation of artificial intelligence (AI) algorithms in radiology, which will change the experienc...
The phase 2 LUNAR trial randomized (1:1) patients with oligorecurrent hormone-sensitive prostate cancer to neoadjuvant [177Lu]Lu-PSMA-I&T (2 cycles, 6...
IMPORTANCE: Accurate prediction of intubation in critically ill patients could enable interventions that improve patient outcomes. However, the perfor...
BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently underdiagnosed disease in which delay in diagnosis limits the efficacy of t...
Radiologic error remains an enduring challenge in diagnostic medicine. Despite study of radiologic error since the mid-twentieth century, interpretive...
BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with ...
LiNO3-based high-temperature phase change materials (PCMs), owing to their specific advantages, e.g., high thermal stability and high latent heat, hav...
Computer-aided colonoscopy (CAC) may improve polyp detection and characterization compared to traditional colonoscopy (TC). However, recent studies al...
The Go/No-Go task is one of the most commonly used paradigms in psychological research, yet traditional studies rely on single event-related potential...
Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) ...
The incorporation of AI-powered applications into music education is becoming increasingly important, as these tools can extend practice support beyon...
OBJECTIVE: To examine whether the economic benefits of bariatric surgery differ by patient subgroups, with the aim of identifying those that may yield...
Therapeutic drug monitoring is essential for ensuring the efficacy and safety of vancomycin therapy in critically ill patients. This study aimed to de...
BACKGROUND AND PURPOSE: Children diagnosed with diplegic cerebral palsy frequently experience gait difficulties that can significantly affect their in...
BACKGROUND AND AIMS: Computer-aided detection (CADe) is anticipated to enhance adenoma detection rate (ADRs). The aim of this study was to systematica...