By Vijay Kumar MalesuSep 25 2023Reviewed by Lily Ramsey, LLM In a recent study published in Cell Reports Medicine, researchers developed AI-Doctor, an advanced artificial Intelligence system designed to interpret fundus fluorescein angiography images precisely.
This is crucial for conditions like IRDs reliant on intricate FFA for evaluation, where interpretation challenges exist, particularly in underserved areas. A team of authorized ophthalmologists, well-versed with standardized training, executed the classification tasks, ensuring the precision of the image b phase identification and IRD diagnosis.
For improved clinical applications, a Clinically Applicable Ischemia Index was proposed, aiming to facilitate the identification of patients with higher risk, using FFA images captured from different orientations and applying detailed principles for image selection and CAII calculations. The Dice similarity coefficient , Intersection over Union value, and F1 score were utilized for segmentation assessment. Empirical ROC curves were examined to establish optimal CAII thresholds for recommending laser therapy.
Ai-Doctor has showcased promising results, displaying high precision, recall, and accuracy in multiple datasets for identifying image phases and diagnosing common IRDs, aligning its diagnostic competency with experts. The study introduced a clinically applicable ischemia index , calculated based on segmentation results of 55°-viewing field FFA images.