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NCT07429123
Using an Artificial Intelligence Medical Device to Help Primary Care Practitioners Identify and Manage Skin Conditions (Tumor, Inflammatory, and Infectious Diseases) in Adult Patients at Pozuelo and Majadahonda Health Centers
trial testing Primary care practitioners aided by Legit.Health Plus in Skin Condition in 131 participants. Completed in 10 January 2024.
19 December 2023
Quick facts
| Lead sponsor | AI Labs Group S.L |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 131 |
| Start date | 24 June 2022 |
| Primary completion | 19 December 2023 |
| Estimated completion | 10 January 2024 |
| Sites | 1 location across Spain |
Drugs / interventions tested
- Primary care practitioners aided by Legit.Health Plus
Conditions studied
- Skin Condition — all drugs for Skin Condition →
- Skin Abnormalities — all drugs for Skin Abnormalities →
- Malignancy — all drugs for Malignancy →
- Melanoma (Skin Cancer) — all drugs for Melanoma (Skin Cancer) →
Sponsor
AI Labs Group S.L — full company profile →
Who can join
18 and older, any sex, with Skin Condition or Skin Abnormalities. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this observational study is to learn if an artificial intelligence (AI) tool helps primary care practitioners better identify skin conditions. The study focuses on adults with suspected skin pathologies, including tumor, inflammatory, and infectious diseases. The main questions it aims to answer are: * Does using the AI tool help doctors make more accurate diagnoses for multiple skin conditions? * Does the tool help doctors better decide which patients need a referral to a dermatologist and which can be managed in primary care? * Are doctors satisfied with how well the tool works and how easy it is to use in their daily work? * Can the tool help doctors more accurately differentiate between benign lesions and skin cancer? Participants will: * Visit their primary care doctor for a regular skin checkup. * Have photos taken of their skin condition using a smartphone or a dermatoscope. * Provide informed consent for their photos and basic health information (such as age and sex) to be analyzed by the AI tool. * Receive standard care from their doctor, with the tool providing a second opinion to assist in the clinical decision-making process.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT07429123
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other AI Labs Group S.L trials
Trials by the same sponsor.
- NCT07428941 — Evaluating an Artificial Intelligence Tool to Help Primary Care Doctors Diagnose Skin Conditions. · completed
- NCT07428915 — Evaluating Legit.Health Plus Support for Improving Diagnosis of Generalized Pustular Psoriasis and Other Skin Conditions · completed
- NCT07428954 — Using Artificial Intelligence to Help Doctors Identify Different Skin Conditions and Improve Patient Care · completed
- NCT06263413 — Clinical Workflow Optimization Using Artificial Intelligence for Dermatological Conditions · unknown
- NCT06228014 — Pilot Study: AI Algorithm for Dermatology Referral Optimization · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT07429123 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by AI Labs Group S.L
- Last refreshed: 24 February 2026
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT07429123.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing