Latest AI and machine learning research in clinical trials for healthcare professionals.
Accurate characterization of vehicle speed distributions is essential for evaluating driving safety and supporting reliability-based geometric design of mountainous freeways. Conventional deterministic approaches based on design speed fail to capture the variability of driver behavior under complex road and terrain conditions, leading to insufficient safety margins. This study proposes a reliabili...
The effectiveness of middle meningeal artery (MMA) embolization for chronic subdural hematoma is well established,1-3 and distal and multibranch penetration of embolic agents is recognized as a key factor for better outcomes.4 5 In recent years, several studies have described artificial intelligence (AI)-assisted neuroendovascular treatment.6-9 We recently reported that AI-assisted MMA embolizatio...
BACKGROUND AND OBJECTIVES: Access to specialty surgical care is growing in many low-income countries, but it remains unclear how hospital workforces c...
Tranexamic acid (TXA) reduces mortality in patients with trauma; however, optimal patient selection remains unclear. This study aimed to identify trau...
Patient safety and high treatment quality are essential in modern healthcare, but analyzing safety incidents for insights is labor-intensive and incon...
BACKGROUND: Peritoneal metastasis occurs in 10%-45% of gastric cancer patients and significantly impacts prognosis and treatment decisions. Traditiona...
OBJECTIVES: Non-contrast MRI (bi-parametric MRI-bpMRI) has been investigated as a potential tool to be integrated in clinically significant prostate c...
BACKGROUND: The rapid acceleration of large language models (LLMs) creates opportunities to expand the accessibility of mental health support; however...
This paper introduces a conceptual framework designed to embed equity, diversity, and inclusion (EDI) across all stages of the clinical trial lifecycl...
BACKGROUND: Persistent post-stroke ankle impairment hinders functional recovery. Brain-computer interface (BCI)-controlled ankle robot show rehabilita...
BACKGROUND AND OBJECTIVES: As the global population of people living with cognitive impairment grows, Home Monitoring Technologies (HMTs), such as cam...
Hematopoietic cell reprogramming, defined as the conversion from one hematopoietic or immune cell type into another, has been shown to hold transforma...
Cognitive socio-technical theory (CST) first emerged in the health literature over 15 years ago. Since its introduction, the theory has been increasin...
INTRODUCTION: Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is th...
BACKGROUND: Artificial Intelligence (AI) is increasingly being introduced into clinical education, including dentistry, as a supplement to traditional...
Using technology to radically improve performance or the influence of business, known as digital transformation, could reshape health care by making c...
BACKGROUND: Psychological distress, particularly symptoms of depression and anxiety (D&A), is highly prevalent among family caregivers of individuals ...
BACKGROUND: Integrating generative artificial intelligence (AI) in patient education has opened new avenues for creating engaging and informative cont...
Timely identification of patients who meet clinical trial eligibility criteria is a persistent bottleneck in trial recruitment because the criteria ar...