AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units
FM Dawoodbhoy, J Delaney, P Cecula, J Yu, I Peacock… - Heliyon, 2021 - cell.com
Introduction Growing demand for mental health services, coupled with funding and resource
limitations, creates an opportunity for novel technological solutions including artificial …
limitations, creates an opportunity for novel technological solutions including artificial …
Increasing the speed and accuracy of data labeling through an ai assisted interface
Labeling data is an important step in the supervised machine learning lifecycle. It is a
laborious human activity comprised of repeated decision making: the human labeler decides …
laborious human activity comprised of repeated decision making: the human labeler decides …
Ai-assisted human labeling: Batching for efficiency without overreliance
Human labeling of training data is often a time-consuming, expensive part of machine
learning. In this paper, we study" batch labeling", an AI-assisted UX paradigm, that aids data …
learning. In this paper, we study" batch labeling", an AI-assisted UX paradigm, that aids data …
Starting from Scratch: A Micro-Costing Analysis for Public Dental Care in Canada
TC Lange - The School of Public Policy Publications (September …, 2020 - papers.ssrn.com
With federal political parties increasingly interested in new options for dental services, it's
worth exploring two policy solutions to expand dental care into the public realm. Denticare …
worth exploring two policy solutions to expand dental care into the public realm. Denticare …
[PDF][PDF] Preparing Medical Students for the Impact of Artificial Intelligence on Healthcare
FS Ji - cfms.org
Artificial intelligence (AI) technology is poised to transform health care 1. The backbone of
contemporary AI, known as machine learning, involves training an algorithm on large …
contemporary AI, known as machine learning, involves training an algorithm on large …