Latest AI and machine learning research in health policy for healthcare professionals.
Rising rates of NCDs threaten fragile healthcare systems in low- and middle-income countries. Fortun...
In this paper, we present a new low-cost robotic platform that has been explicitly developed to incr...
There is increasing use of psychotherapy apps in mental health care. This mixed methods pilot stud...
Continuous and non-invasive respiratory rate (RR) monitoring would significantly improve patient out...
Policy Points With increasing integration of artificial intelligence and machine learning in medicin...
OBJECTIVE: Quality gaps in medical imaging datasets lead to profound errors in experiments. Our obje...
Combinatorial fusion analysis (CFA) is an approach for combining multiple scoring systems using the ...
The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly add...
Evidence-based STI (science, technology, and innovation) policy making requires accurate indicators ...
The purposes are to monitor the nitrogen utilization efficiency of crops and intelligently evaluate ...
Stem cell-based products have clinical and industrial applications. Thus, there is a need to develop...
Devices of human-based senses such as e-noses, e-tongues and e-eyes can be used to analyze different...
Human activity recognition (HAR) has been a vital human-computer interaction service in smart homes....
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies ...
In the healthcare domain, trust, confidence, and functional understanding are critical for decision ...
Plane wave imaging (PWI), a typical ultrafast medical ultrasound imaging mode, adopts single plane w...
Approaches to reliably predict the developmental potential of embryos and select suitable embryos fo...
In this paper, we focus on presenting a novel AI-based service platform proposal called AIDI (Artifi...
The concentration of PM is one of the main factors in evaluating the air quality in environmental sc...
PURPOSE: To automate diagnostic chest radiograph imaging quality control (lung inclusion at all four...
BACKGROUND AND OBJECTIVE: Previous studies developed artificial intelligence (AI) diagnostic systems...