One-shot image diagnosis and multi-step conversational AI for medical interviewing
AI Medical Interviewing and Diagnostic System Performance Evaluation: One-Shot Vision Differential Diagnosis (OSVDE) and Multi-Step Conversational Non-Inferiority (MSCNE) Evaluation.
Magic Health Inc. (d.b.a. Nolla Health) · NCT07470463
This study tests whether a multimodal AI can match licensed clinicians at making diagnoses from de-identified images and simulated patient conversations.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 30 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Magic Health Inc. (d.b.a. Nolla Health) (industry) |
| Locations | 1 site (New York, New York) |
| Trial ID | NCT07470463 on ClinicalTrials.gov |
What this trial studies
The study benchmarks AIMD.1, a multimodal AI diagnostic system, against licensed clinicians using de-identified medical images and semi-synthetic patient simulations. It has two stages: One-Shot Vision Differential Evaluation (clinicians give ranked diagnoses from single images) and Multi-Step Conversational Non-Inferiority Evaluation (clinicians work through simulated multi-turn cases). Clinician diagnostic responses are collected prospectively and compared to the AI on identical tasks using retrospective public image datasets and simulated cases. All work is done offline with no impact on real-world patient care.
Who should consider this trial
Good fit: Ideal participants are licensed clinicians (e.g., dermatology, internal medicine, emergency medicine, ophthalmology, family medicine, pediatrics, and related specialties) who are 18 or older and can complete remote evaluation sessions.
Not a fit: Because this is an offline benchmark using de-identified images and simulated cases, patients will not receive direct clinical care benefits from participation.
Why it matters
Potential benefit: If successful, the AI could help clinicians produce faster or more accurate differential diagnoses from images and conversational histories.
How similar studies have performed: Previous AI systems have matched or exceeded clinician performance for specific image-based tasks in fields like dermatology and ophthalmology, but multimodal conversational diagnostic systems are less well validated.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Active license in Dermatology, Internal Medicine, Otolaryngology, Gynecology, Orthopedics, Pediatrics, Geriatrics, Emergency Medicine, Ophthalmology, Psychiatry, Endocrinology, Family Medicine, or a closely related specialty * Age 18 years or older * Ability to complete diagnostic evaluation sessions remotely using a computer or tablet with reliable internet access Exclusion Criteria: * Loss of active license in an eligible specialty * Inability to complete the evaluation session remotely
Where this trial is running
New York, New York
- Nolla Health (Magic Health Inc.) — New York, New York, United States (RECRUITING)
Study contacts
- Principal investigator: Luis R Soenksen, MSE, PhD — Nolla Health
- Study coordinator: Luis R Soenksen, MSE, PhD
- Email: soenksen@nollahealth.com
- Phone: (617) 936-9293
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Differential Diagnosis, Diagnostic Accuracy, Artificial Intelligence, Clinical Decision Support, Computer Vision, Medical Imaging, Multimodal AI, Physician Performance