Latest AI and machine learning research in clinical trials for healthcare professionals.
Traditional Chinese medicine (TCM) has become a standardized medical system through systematic development across global healthcare practices. However, concerns persist regarding the safety, efficacy and quality of traditional medicinal products. Traditional Chinese medicine regulatory science (TCMRS) has emerged as an interdisciplinary field to address these challenges. This discipline integrates...
With the rapid development of modern medical technology,minimally invasive surgical procedures are playing an increasingly important role in the field of pancreatic tumor treatment. This article systematically expounds on the application status of minimally invasive surgical procedures,including robotic surgery and laparoscopic surgery,in the treatment of pancreatic tumors. Through in-depth analys...
Perceived stress is prevalent in industrial societies, negatively impacting mental health. Smartphone-based stress management interventions provide ac...
BACKGROUND: During adolescence, individuals face various challenges that require adequate psychosocial and emotional adjustment. Additionally, the pre...
BackgroundFlight crews operate in an environment surrounded by a wide array of physical, chemical, biological, ergonomic, and psychosocial risks. It i...
BACKGROUND: Amblyopia is a leading cause of visual impairment in children, and conventional treatments often encounter challenges related to poor comp...
OBJECTIVE: Despite high stand-alone performance, studies demonstrate that artificial intelligence (AI)-supported endoscopic diagnostics often fall sho...
Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and efficacy, resulting in the need for adjuvants to incre...
Processes to assure the safe, effective, and responsible deployment of artificial intelligence (AI) in safety-critical settings are urgently needed. H...
This study aimed to assess university nursing students' knowledge and perceptions of open, laparoscopic, and robotic surgery applications. A simultane...
Social anxiety is a common psychological problem, and its accurate diagnosis and investigation of underlying neurophysiological mechanisms are of sign...
Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment, becoming a standard approach for various tumor types. Consequently, accurate...
Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen, progesterone, and HER2 receptors, leading to limi...
Thorough investigations of end-users' awareness, acceptance, and concerns about ophthalmic artificial intelligence (AI) are essential to ensure its su...
BACKGROUND: Stroke-induced upper limb dysfunction requires functional assessment and rehabilitation. The intelligent rehabilitation assessment and vir...
BACKGROUND: The CONCERN Early Warning System (CONCERN EWS) is an artificial intelligence based clinical decision support system (AI-CDSS) for predicti...
Heart rate variability (HRV) has been reported to predict overall mortality and the risk of cardiovascular disease events in patients, including those...
BACKGROUND: Early diagnosis of low ejection fraction (EF) remains challenging despite being a treatable condition. This study aimed to evaluate the ef...
Artificial intelligence is rapidly transforming healthcare, offering promising advancements in diagnosis, treatment, and patient outcomes. However, co...