The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings-Reference-Cited by-同舟云学术

The State of Radiology AI: Considerations for Purchase Decisions and Current Market Offerings

Published:2020-11-01 Issue:6 Volume:2 Page:e200004
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Tadavarthi Yasasvi¹^ORCID,Vey Brianna¹^ORCID,Krupinski Elizabeth¹,Prater Adam¹^ORCID,Gichoya Judy¹^ORCID,Safdar Nabile¹^ORCID,Trivedi Hari¹^ORCID

Affiliation:

1. From the Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2020200004

Reference24 articles.

1. Assessment of Machine Learning vs Standard Prediction Rules for Predicting Hospital Readmissions

2. Mortality prediction in ICU: a methodological advance

3. Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial

4. Expert-level detection of acute intracranial hemorrhage on head computed tomography using deep learning

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