Latest AI and machine learning research in us health policy for healthcare professionals.
Certain inflammatory biomarkers, such as interleukin-6, interleukin-1, C-reactive protein (CRP), an...
Different from many previous studies explain mobile social media usage from a technical-center persp...
BACKGROUND: High quality serious illness communication requires good understanding of patients' valu...
Nearly a decade into Defra's current eradication strategy, bovine tuberculosis (bTB) remains a serio...
Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in fac...
BACKGROUND: Assessment of both coronary artery calcium(CAC) scores and myocardial perfusion imaging(...
OBJECTIVES: We evaluated lower dose (LD) hepatic dynamic ultra-high-resolution computed tomography (...
This study aimed to evaluate the effect of an artificial intelligence (AI) support system on breast ...
BACKGROUND: Colonoscopy is the gold standard for colon cancer screening; it is also associated with ...
The paper is concerned with the consensus problem in a multi-agent system such that each agent has b...
OBJECTIVE: The sensitivity of thyroglobulin (Tg) to detect differentiated thyroid cancer recurrence ...
Application of machine-learning methods to assess the batch adsorption of malachite green (MG) dye o...
The diagnosis of diabetic kidney disease can be delayed by limitations of primary biomarkers, which ...
Infectious diseases are a major health challenge for the worldwide population. Since their rapid spr...
Adult-onset Still's disease (AOSD) is an autoinflammatory disease with multisystem involvement. Earl...
PURPOSE: Consensus molecular subtyping (CMS) of colorectal cancer has potential to reshape the color...
PURPOSE: To compare the prognostic value and reproducibility of visual versus AI-assisted analysis o...
We assessed the accuracy of semi-automated tumor volume maps of plexiform neurofibroma (PN) generate...