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Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-base...

Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-base...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8873196

Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images

About this item

Full title

Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images

Publisher

London: Nature Publishing Group UK

Journal title

Eye (London), 2022-03, Vol.36 (3), p.510-516

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Learning Objectives
Upon completion of this activity, participants will:
Compare diabetic retinopathy (DR) severity scores of ophthalmologically asymptomatic people with diabetes between outputs from an artificial intelligence (AI)-based system and human-graded ultra-widefield (UWF) color fundus imaging, according to a clinical study.
Compare manual 7F-mask gradings vs UWF full-field gradings and describe the correlation with patient characteristics, according to a clinical study.
Describe clinical implications of the comparison between the DR severity scores of ophthalmologically asymptomatic people with diabetes outputs using outputs from an AI-based system and human-graded UWF color fundus imaging, according to a clinical study.
Accreditation Statements
In support of improving patient care, this activity has been planned and implemented by Medscape, LLC and Springer Nature. Medscape, LLC is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
Medscape, LLC designates this Journal-based CME activity for a maximum of 1.0
AMA PRA Category 1 Credit(s)™
. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to 1.0 MOC points in the American Board of Internal Medicine’s (ABIM) Maintenance of Certification (MOC) program. Participants will earn MOC points equivalent to the amount of CME credits claimed for the activity. It is the CME activity provider’s responsibility to submit participant completion information to ACCME for the purpose of granting ABIM MOC credit.
All other clinicians completing this activity will be issued a certificate of participation. To participate in this journal CME activity: (1) review the learning objectives and author disclosures; (2) study the education content; (3) take the post-test with a 75% minimum passing score and complete the evaluation at
www.medscape.org/journal/eye
; (4) view/print certificate.
Credit hours
1.0
Release date:
Expiration date:
Post-test link:
https://www.medscape.org/eye/posttest964708
Authors/Editors disclosure information
S.S. has disclosed the following relevant financial relationships:...

Alternative Titles

Full title

Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8873196

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8873196

Other Identifiers

ISSN

0950-222X,1476-5454

E-ISSN

1476-5454

DOI

10.1038/s41433-021-01912-4

How to access this item