Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanc...
Magnetic resonance imaging clinics of North America
Aug 1, 2021
Here we review artificial intelligence (AI) models which aim to assess various aspects of chronic liver disease. Despite the clinical importance of hepatocellular carcinoma in the setting of chronic liver disease, we focus this review on AI models wh...
PURPOSE: To investigate the effect of denoise processing by artificial intelligence (AI) on the optical coherence tomography angiography (OCTA) images in eyes with retinal lesions.
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Jul 30, 2021
In clinical medicine, patient drainage monitoring and early warning have received extensive attention from the clinical medical community since they reflect the real-time status of patients. Firstly, this study points out the shortcomings of current ...
Journal of the American Medical Informatics Association : JAMIA
Jul 30, 2021
OBJECTIVE: We introduce Medical evidence Dependency (MD)-informed attention, a novel neuro-symbolic model for understanding free-text clinical trial publications with generalizability and interpretability.
Mathematical biosciences and engineering : MBE
Jul 26, 2021
The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimen...
British journal of nursing (Mark Allen Publishing)
Jul 22, 2021
, Lecturer in Law, Birmingham Law School, University of Birmingham, discusses some recent reports on artificial intelligence (AI) and machine learning in the context of law, ethics and patient safety.
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