Artificial Intelligence and Machine Learning Applied at the Point of Care-Reference-Cited by-同舟云学术

Artificial Intelligence and Machine Learning Applied at the Point of Care

Published:2020-06-18 Issue: Volume:11 Page:
ISSN:1663-9812
Container-title:Frontiers in Pharmacology
language:
Short-container-title:Front. Pharmacol.

Author:

Angehrn Zuzanna,Haldna Liina,Zandvliet Anthe S.,Gil Berglund Eva,Zeeuw Joost,Amzal Billy,Cheung S. Y. Amy,Polasek Thomas M.,Pfister Marc,Kerbusch Thomas,Heckman Niedre M.

Publisher

Frontiers Media SA

Subject

Pharmacology (medical),Pharmacology

Reference73 articles.

1. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices;Abramoff;NPJ Digit Med.,2018

2. A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis;Barbieri;Comput. Biol. Med.,2015

3. An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients;Barbieri;Kidney Int.,2016

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