35.168.110.128
dgid:
enl:
npi:0
-Advertisement-
-Advertisement-
Conference Roundup

Variations in specificity, safety amongst AI algorithms for diabetic retinopathy screening delay clinical use

Posted on July 25, 2020

Artificial intelligence diabetic retinopathy screening systems (AIDRSS) have a high negative predictive value and perform positively overall, but large disparities in safety and specificity amongst systems, warrant additional validation studies, according to a presentation at the 2020 ASRS Virtual Meeting.

In this multicenter study, 311,604 retinal images from 23,724 patients from 2 Veterans Affairs hospitals were graded by 6 algorithms (labelled A-F) and categorized into stages 1-5 ranging from no diabetic retinopathy to proliferative diabetic retinopathy, or ungradable image quality.

For each AIDRSS, sensitivity ranged from 51.0%-85.9%, specificity from 58.9%- 83.7%, negative predictive value from 84.2%-93.7%, and positive predictive value from 33.1%-50.8%.

Patients with nonproliferative diabetic retinopathy or worse were under-referred with rates ranging from 0.6%-19.9%. Patients with proliferative diabetic retinopathy alone were also under-referred (range 0.9%-33.6%). Diabetic retinopathy was overcalled at rates ranging from 16.3%-41.1%.

Reference
Lee A, et al. Multicenter, head-to-head, real-world validation study of artificial intelligence diabetic retinopathy screening systems (AIDRSS). Presented at 2020 ASRS Virtual Meeting.

-Advertisement-
Related Articles
Compounded fixed-combination injection provides stable mydriasis during surgery
Aug 04, 2021
More research needed on link between strabismus and mental health disorders in kids
May 21, 2021
Patient demographics influence utilization of care for eye conditions
May 21, 2021
-Advertisement-
-Advertisement-
-Advertisement-
-Advertisement-
-Advertisement-