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AI-Sight

Assists in the diagnosis of diabetic retinopathy by providing graders with image import, retinal scan analysis, and support for workflow optimisation

Product Overview

Intended Use

AI-Sight is currently going through it's UKCA

Input Data

Data that needs to be inputted into the platform are Retinal Images.

Output Data

Assistive diagnosis results are presented in a clear and intuitive format for graders’ reference.Prioritised list of retinal images based on urgency or severity.Outcome-based filtering and sorting options.Workflow tracking and status indicators

Public information

Efficacy

The AI Sight Solution is an advanced digital health application that utilises machine learning and artificial intelligence to provide assistive analysis for retinal scans, focusing on diabetic retinopathy diagnosis. It offers key features to support graders, administrators, and the overall operational workflow. Graders can import retinal images from their existing software, receiving immediate analysis and assistive diagnoses from the AI Sight algorithm. A native desktop app ensures seamless image import and assists graders with the diagnosis process.

Effectiveness

AISight aims to stratify the diabetic retinopathy disease and in doing so, it would allow to better manage screening programmes, treatment thresholds, and routine follow ups. Rather than having 4 stages of disease, ranking disease across a vast repository will look to enable better budgetary allocation, whilst also making diagnosis more efficient and effective for clinicians.

Health Economics

Offers a pay-per-image commercial model, allowing organisations to pay only for the images analysed.Enables tiered costing models based on volume thresholds or volume discounts.

RWE

AI-Sight has not yet been piloted, however after rigorous testing of the software and AI and user feedback, it is now ready to be used within an organisation

References
Related Function
Workflow - Image ranking
Related Domain
Endocrinology
Market Approval
Not applicable