Latest AI and machine learning research in clinical trials for healthcare professionals.
BACKGROUND: Accurately differentiating severe from nonsevere COVID-19 clinical types is critical for the health care system to optimize workflow. Current techniques lack the ability to accurately classify COVID-19 clinical types in patients, especially as SARS-CoV-2 continues to mutate. OBJECTIVE: We explore the predictability and interpretability of multiple state-of-the-art machine learning (ML)...
BACKGROUND: Breast cancer is a significant public health burden. Despite its critical role in preventing the recurrence of breast cancer, rates of long-term adherence to endocrine therapy (ET) remain low among certain breast cancer survivors. Using embedded sensors in smartphones and wearables, ecological momentary assessment data and health behavior theory may facilitate a richer understanding of...
BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, an...
Medical artificial intelligence (AI) has advanced rapidly, yet a comprehensive quantitative overview of its clinical evaluation landscape remains lack...
Understanding how the quality of human settlements affects residents' happiness is crucial for sustainable urban planning during rapid urbanization. T...
The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has marked a paradigm shift in the treatment of retinal and choroidal vas...
Fecal microbiota transplantation (FMT) has emerged as a promising therapy for gastrointestinal diseases, yet its clinical efficacy remains individuall...
The human visual system excels at recognizing occluded objects, yet the temporal dynamics of recurrent processing in this task remain unclear. Using h...
BACKGROUND: High-quality observation and feedback contribute to the development of clinical competence and professional growth in medical education. F...
OBJECTIVES: A paper from Goh et al. found that a large language model (LLM) working alone outperformed American clinicians assisted by the same LLM in...
BACKGROUND: Patients' digital access to their personal health data is becoming increasingly common worldwide. However, medical documentation often con...
BACKGROUND: Risk group stratification based on the prediction of survival of patients with acute myeloid leukemia (AML) is complex. Despite common ris...
INTRODUCTION: Sarcoidosis is a heterogeneous granulomatous disease with highly variable clinical trajectories, yet no validated biomarkers exist to di...
BACKGROUND: Colorectal cancer is a major global health burden, with most cases arising from adenomatous polyps. Although colonoscopy is the gold stand...
BACKGROUND: Digital technology integrates information and communication tools such as electronic health records, wearable devices, and artificial inte...
Despite promising evidence of the efficacy of the androgen deprivation therapy (ADT) plus apalutamide in metastatic castration-sensitive prostate canc...
The environmental effect of foreign direct investment is a much-discussed topic. Nevertheless, how foreign direct investment's country of origin can a...
BACKGROUND: Balance and gait disorders in Parkinson disease (PD) impair motor function and quality of life. OBJECTIVE: Evidence on soft exoskeleton ro...
Road traffic crashes pose a serious public safety challenge, particularly due to fatal and serious injuries. Although machine learning (ML) has been w...