Latest AI and machine learning research in clinical trials for healthcare professionals.
Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective of this systematic review and meta-analysis was to quantify the efficacy of swIAV vaccines in pigs, regarding viral transmission, viral shedding and clinical signs. Data were extracted from experimental studies involving vaccinated pigs subsequently c...
BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently underdiagnosed disease in which delay in diagnosis limits the efficacy of treatments. Artificial intelligence (AI) applied to standard 12-lead electrocardiograms (ECGs) is promising and may help improve ATTR-CM early detection. OBJECTIVES: The goals of this study were to extend the Willem AI cloud platform for ATTR-CM detec...
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...
This study focuses on simulating ground motion for the Shamkir Water Reservoir area in Azerbaijan using machine learning algorithms to enhance regiona...
BACKGROUND: Advances in artificial intelligence have brought renewed attention to tools that can work with the large amount of written information gen...
OBJECTIVE: Recent growth of online research has been accompanied by an increase in reports of fraudulent participants, which can significantly compris...
BACKGROUND: Carbohydrate counting (CC) assists people with type 1 diabetes (T1D) adjust mealtime insulin doses; however, it is often burdensome. Mobil...
CONTEXT: Overcoming the disconnect between efficient Machine Learning (ML) techniques and its therapeutic applicability necessitates frameworks that p...
Low- and middle-income countries bear the most significant burden of foodborne diseases, impacting their food and nutrition security, trade, and ultim...