JBI database of systematic reviews and implementation reports
Apr 1, 2019
OBJECTIVE: The objective of this review was to examine the economic cost of robotic therapy compared to conventional therapy for adult stroke patients, from the perspective of hospitals.
Journal of the American College of Radiology : JACR
Apr 1, 2019
Commercially available artificial intelligence (AI) algorithms outside of health care have been shown to be susceptible to ethnic, gender, and social bias, which has important implications in the development of AI algorithms in health care and the ra...
BACKGROUND: To explore whether radiomics combined with computed tomography (CT) images can be used to establish a model for differentiating high grade (International Society of Urological Pathology [ISUP] grade III-IV) from low-grade (ISUP I-II) clea...
Three-dimensional, high-definition images, small instruments with endowrist technology, ergonomic position and the easiness to teach, are possibly the main reasons why robotic surgery will continue to gain ground to others forms of surgery. The curre...
AIMS: The purpose of this multicentre observational study was to investigate the association between intraoperative component positioning and soft-tissue balancing on short-term clinical outcomes in patients undergoing robotic-arm assisted unicompart...
Journal of consulting and clinical psychology
Apr 1, 2019
OBJECTIVE: Mental illness is a leading cause of disease burden; however, many barriers prevent people from seeking mental health services. Technological innovations may improve our ability to reach underserved populations by overcoming many existing ...
OBJECTIVE: To explore the direct influence of a soft-robotic glove on movement duration and movement execution in elderly people with decreased hand function during a reach-and-grasp task.
To develop a convolutional neural network (CNN) algorithm that can predict the molecular subtype of a breast cancer based on MRI features. An IRB-approved study was performed in 216 patients with available pre-treatment MRIs and immunohistochemical s...
OBJECTIVE: The goal of this research is to develop a machine learning supervised classification model to automatically code clinical encounter transcripts using a behavioral code scheme.
Although machine learning is increasingly being applied to support clinical decision making, there is a significant gap in understanding what it is and how nurses should adopt it in practice. The purpose of this case study is to show how one applicat...
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