Latest AI and machine learning research in us health policy for healthcare professionals.
The hype over artificial intelligence (AI) has spawned claims that clinicians (particularly radiolog...
IMPORTANCE: Current approaches to identifying individuals at high risk for opioid overdose target ma...
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...
Association between net vertebral artery flow volume (NVAFV) and stroke types remains unclear. We h...
Artificial intelligence (AI) is increasingly being developed for use in medicine, including for diag...
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state...
We use shotgun proteomics to identify biomarkers of diagnostic and prognostic value in individuals d...
Posttraumatic stress disorder (PTSD) develops in a substantial minority of emergency room admits. In...
Industry 4.0 is an innovation framework launched initially at the 2011 Hanover Fair in Germany. It i...
This paper explores the novel application of an automated -value extraction algorithm for the interp...
Several studies have reported a conflicting association between vitamin D deficiency, vitamin D rece...
In the Artificial Bee Colony (ABC) algorithm, the employed bee and the onlooker bee phase involve up...
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) have revolutionized cardiovas...
BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a...
In this study, the tetrad stage of microspore development in a new cotton ( L.) cytoplasmic male ste...
Cardiac hypertrophy (CH) is an independent risk factor for cardiovascular diseases (CVDs). Mitigatin...
Trust is considered to be a determinant on psychologist selection which can ensure patient satisfact...
OBJECTIVES: To evaluate the positive predictive value of machine learning algorithms for early asses...
Endocrine-disrupting chemicals (EDCs), which can threaten ecological safety and be harmful to human ...
BACKGROUND: snoReport uses RNA secondary structure prediction combined with machine learning as the ...
Assistive technologies, such as robots, have proven to be useful in a social context and to improve ...