Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting
NCT06724627 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 263
Last updated 2024-12-09
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.
Conditions
- Skin Condition
- Dermatology
- Dermatology/Skin - Other
Interventions
- DIAGNOSTIC_TEST
-
Dermatology/Skin - Other
Belle AI for skin image assessment.
Sponsors & Collaborators
-
Urban Health Plan Inc.
collaborator UNKNOWN -
BelleTorus Corporation
lead INDUSTRY
Principal Investigators
-
John Romano, MD · BelleTorus Corporation
-
Franco Barsanti, PharmD · Urban Health Plan Inc.
Study Design
- Allocation
- NA
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-09-16
- Primary Completion
- 2025-03-30
- Completion
- 2025-06-30
Countries
- United States
Study Locations
More Related Trials
-
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
NCT06597968 ·Status: RECRUITING
-
Exploring the Application Efficacy of Artificial Intelligence (AI) Diagnostic Tools in Medical Imaging (MI) of Respiratory(R) Infectious (I) Disease (D)
NCT06553911 ·Status: RECRUITING ·Phase: NA
-
AI-Agent for Automated Diagnosis and Predicting Using EHR and Multimodal Data
NCT06791499 ·Status: RECRUITING
-
Project 3 Example: Human-AI Collaboration Tester (HAICT) Exp. 7
NCT05272189 ·Status: COMPLETED ·Phase: NA
-
Data Collection for the Validation of an Artificial Intelligence Software to Support Musculoskeletal Ultrasound Examination
NCT07336407 ·Status: COMPLETED ·Phase: NA
-
AI Assisted Detection of Chest X-Rays
NCT06075836 ·Status: COMPLETED
-
Chest X-Ray Image Diagnosis and Report Generation Dedicated Model Based on Deepseek
NCT06874647 ·Status: COMPLETED
-
Manual Versus AI-Assisted Clinical Trial Screening Using Large-Language Models
NCT06588452 ·Status: RECRUITING
-
Effectiveness of CadAI-B Dx for Decision Support in Breast Ultrasound
NCT07287111 ·Status: COMPLETED ·Phase: NA
-
Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass
NCT06528236 ·Status: NOT_YET_RECRUITING
-
AMIE's Clinical Conversational Abilities in an Urgent Care Setting
NCT06911398 ·Status: COMPLETED
-
Development of an AI-based Emergency Imaging Multi-Disease Rapid Joint Screening System
NCT05974163 ·Status: UNKNOWN
-
AI as an Aid for Weekly Symptom Intake in Radiotherapy
NCT06525181 ·Status: RECRUITING ·Phase: NA
-
Testing an AI Large Language Model Tool for Cognitive Debiasing in Musculoskeletal Care
NCT07022769 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
AI Assisted Personalized Legacy Program (Reflections: My Story) for Patients With Serious Illness
NCT07009210 ·Status: RECRUITING ·Phase: NA
-
KNUCH CadAI-B-1(KCB-1)
NCT06622967 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
AI-Assisted Medical Decision-Making
NCT06846229 ·Status: RECRUITING
-
Efficacy Comparison Between Primary Care Physicians' Independent Auscultation and AI-assisted Auscultation for Congenital Heart Disease Screening in Patient-enriched Populations: A Randomized Controlled Trial
NCT06791096 ·Status: COMPLETED ·Phase: NA
-
Relisten: Enhancing Care Quality and Saving Time With Automatic Clinical Note Generation in Primary Care
NCT06618092 ·Status: COMPLETED ·Phase: NA
-
The Impact of an Artificial Intelligence Chatbot on Brazilian Adolescents' Body Image
NCT04825184 ·Status: COMPLETED ·Phase: NA
-
Retrospective Study of Carebot AI CXR Performance in Preclinical Practice
NCT05594485 ·Status: COMPLETED
-
Physician Response Evaluation With Contextual Insights vs. Standard Engines - Artificial Intelligence RAG vs LLM Clinical Decision Support
NCT07037940 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence Algorithm for the Interpretation of Traumatic Bone Radiographs
NCT07329881 ·Status: ACTIVE_NOT_RECRUITING
-
AI-based System for Assessing Suspected Viral Pneumonia Related Lung Changes
NCT06501599 ·Status: RECRUITING
-
Dragon Ambient eXperience (DAX) Copilot Evaluation
NCT06329427 ·Status: COMPLETED ·Phase: NA