AIMC Topic: Patients
Clear Filters Showing 41 to 47 of 47 articles
Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study".
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
Clinician and computer: a study on patient perceptions of artificial intelligence in skeletal radiography.
BMJ health & care informatics
Nov 1, 2020
BACKGROUND: Up to half of all musculoskeletal injuries are investigated with plain radiographs. However, high rates of image interpretation error mean that novel solutions such as artificial intelligence (AI) are being explored.
[Automated Pre-delineation of CTV in Patients with Cervical Cancer Using Dense V-Net].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Oct 8, 2020
We use a dense and fully connected convolutional network with good feature learning in small samples, to automatically pre-deline CTV of cervical cancer patients based on CT images and evaluate the effect. The CT data of stage IB and IIA postoperativ...
The Present and Future of Team Documentation: The Role of Patients, Families, and Artificial Intelligence.
Mayo Clinic proceedings
May 1, 2020
Bring on the Machines: Could Machine Learning Improve the Quality of Patient Education Materials? A Systematic Search and Rapid Review.
JCO clinical cancer informatics
Dec 1, 2018
PURPOSE: Clear and trustworthy information is essential for people who are ill. People with cancer, in particular, are targeted with vast quantities of patient education material, but of variable quality. Machine learning technologies are popular acr...
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