Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting

Study Summary

The goal of this research study is to test a new, investigational tool that uses artificial intelligence (AI) to help primary care providers assess skin conditions. This tool is an AI-powered dermatology image reference app that works with a smartphone. For clarity, the AI makes no diagnoses; it provides reference images. Primary care providers then use their own medical judgement and training to make the diagnosis. The sponsor aims to compare the diagnoses made by primary care providers (such as doctors, nurse practitioners, and physician assistants) with the support of the AI tool compared to a panel of dermatologists, who are setting the gold standard. By doing so, the sponsor can determine the value of the AI tool for primary care providers and understand how it might be used alongside traditional clinical care. This AI capability complies with FDA regulatory guidelines and is not considered a medical device, similar to a Google image search, which returns similar looking images for reference purposes. For intervention, they healthcare providers use their own training and clinical judgement to make the diagnosis, and not the AI.

Primary Outcome

Comparison of Belle AI's image reference system primary probability diagnosis to the reference diagnosis established by the dermatological review committee; additional evaluation of the accuracy of the second and third highest probability diagnoses determined by the Bell Image Match Score

Conditions Studied

Interventions

• DIAGNOSTIC_TEST Dermatology/Skin - Other

Study Locations (1)