Diagnostic accuracy of artificial intelligence-based automated diabetic retinopathy screening in real-world settings: a systematic review and meta-analysis. | PSNet

Provide Feedback |

Register

Review

Diagnostic accuracy of artificial intelligence-based automated diabetic retinopathy screening in real-world settings: a systematic review and meta-analysis.

June 26, 2024

Joseph S, Selvaraj J, Mani I, et al. Am J Ophthalmol. 2024;263:214-230.

View more articles from the same authors.

Artificial intelligence (AI) has been shown to have similar diagnostic accuracy to humans in mammography and other imaging studies. This review summarizes the accuracy of AI-based diabetic retinopathy (DR) screening from retinal images. Pooled analysis from 34 studies shows AI-based screening has acceptable performance for DR screening.

PubMed citation

Related Resources From the Same Author(s)

Modes of failure in venous thromboembolism prophylaxis.

September 28, 2022

Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

March 24, 2019

Perspective

Patient Safety Events and the Role of Patient Safety Organizations During the COVID-19 Pandemic

January 12, 2022

Diagnostic error in children presenting with acute medical illness to a community hospital.

December 3, 2014

Home health staff perspectives on infection prevention and control: implications for Coronavirus Disease 2019.

December 23, 2020

Inter- and intra-disciplinary collaboration and patient safety outcomes in U.S. acute care hospital units: a cross-sectional study.

September 26, 2018

Association of registered nurse and nursing support staffing with inpatient hospital mortality.

September 25, 2019

Structural racism in behavioral health presentation and management.

May 17, 2023

A taxonomy for advancing systematic error analysis in multi-site electronic health record-based clinical concept extraction.

July 10, 2024

Errors during the preparation of drug infusions: a randomized controlled trial.

October 19, 2012

View More

Related Resources

Operational failures in general practice: a consensus-building study on the priorities for improvement.

May 22, 2024

A scoping review exploring the confidence of healthcare professionals in assessing all skin tones.

October 4, 2023

Diagnostic reliability in teledermatology: a systematic review and a meta-analysis.

August 30, 2023

What causes delays in diagnosing blood cancers? A rapid review of the evidence.

July 5, 2023

Prevalence of undiagnosed diabetes identified by a novel electronic medical record diabetes screening program in an urban emergency department in the US.

February 22, 2023

Reducing potential errors associated with insulin administration: an integrative review.

December 14, 2022

Incidence, nature and causes of avoidable significant harm in primary care in England: retrospective case note review.

December 16, 2020

Impact of digitally acquired peer diagnostic input on diagnostic confidence in outpatient cases: a pragmatic randomized trial.

December 2, 2020

Clinical decision-making: heuristics and cognitive biases for the ophthalmologist.

January 31, 2018

Meta-analysis: effect of interactive communication between collaborating primary care physicians and specialists.

March 3, 2010

View More

See More About The Topic

Ambulatory Clinic or Office

Diagnostic Errors

To sign up for updates or to access your subscriber preferences, please enter your email address below.

5600 Fishers Lane
Rockville, MD 20857
Telephone: (301) 427-1364