Latest AI and machine learning research in clinical trials for healthcare professionals.
Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well establishe...
Contaminated fresh produce remains a prominent catalyst for food-borne illnesses, prompting the need...
BACKGROUND/AIM: Vasopressin injected during myomectomy is known to effectively reduce bleeding but i...
Green toxicology is marching chemistry into the 21st century. This emerging framework will transform...
BACKGROUND: Quantitatively analyzing the impact of UV radiation and noise during welding operations ...
OBJECTIVE: The potential of using retinal images as a biomarker of cardiovascular disease (CVD) risk...
Urinary tract infections (UTIs) are highly prevalent bacterial infections that pose significant heal...
Amyotrophic lateral sclerosis (ALS) is a devastating and progressive neurodegenerative disease with ...
OBJECTIVE: To investigate the accuracy, safety, and short-term effectiveness of a domestic robot-ass...
: To study the efficacy of pulse methylprednisolone (MPS) therapy in patients with malaria-associate...
Recently, care robots are being developed that incorporate robotics into assistive products that foc...
Artificial intelligence shows promise for clinical research in inflammatory bowel disease endoscopy....
BACKGROUND: Retrospective studies have shown promising results using artificial intelligence (AI) to...
MOTIVATION: The process of drug development is inherently complex, marked by extended intervals from...
Assessment of patient eligibility is an essential process in the clinical trial but there are a lot ...
Ophthalmic surgery, which addresses critical eye diseases such as retinal disorders, remains a formi...
To methodically assess the clinical effectiveness and safety of robot-assisted total rectal mesente...
Artificial intelligence (AI)-assisted diagnosis imparts high accuracy to chest radiography (CXR) in...
OBJECTIVES: The objective of this study was to explore the use of natural language processing (NLP) ...
Contaminants are the critical targets of food safety supervision and risk assessment. In existing re...
Policy Points Traditional approaches to addressing motor vehicle crashes are yielding diminishing re...