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Using Artificial Intelligence to Help Doctors Identify Different Skin Conditions and Improve Patient Care

NCT07428954 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 16

Last updated 2026-02-24

No results posted yet for this study

Summary

This study aims to determine if an artificial intelligence (AI) medical device can help doctors more accurately identify a wide variety of skin conditions and improve the efficiency of patient consultations. While many patients visit primary care for skin issues, general doctors may sometimes have different opinions from specialists, which can lead to delays in getting the right treatment.

The researchers hypothesized that using the AI tool would increase the true diagnostic accuracy of healthcare professionals for multiple skin conditions. To test this, 16 doctors (including 10 general practitioners and 6 dermatologists) evaluated 29 different medical images.

For each case, the doctors followed a structured process:

* Initial Assessment: Doctors first gave a diagnosis based only on the patient's image and medical history.
* AI Support: Doctors were then shown the AI's top five suggested diagnoses and confidence levels to see if they wished to adjust their final decision.
* Clinical Utility: Doctors also indicated if the patient required a specialist referral and if the case could be handled through a remote (online) consultation.

The primary question the study tried to answer was whether AI support could significantly improve correct diagnoses across 13 different types of skin pathologies-ranging from common rashes to skin cancer-while also making the consultation process faster and more effective for both doctors and patients.

Conditions

  • Dermatitis
  • Melanoma (Skin Cancer)
  • Alopecia
  • Urticaria
  • Granuloma Annulare
  • Seborrheic Keratoses
  • Herpes
  • Tinea
  • Psoriasis
  • Onychomychosis
  • Acne
  • Pressure Ulcer (PU)
  • Nevus

Interventions

DEVICE

AI-based medical device for aided diagnosis in Dermatology

The intervention consists of a Computer-Aided Diagnosis (CAD) software-only medical device that utilizes computer vision algorithms to analyze digital images of skin structures. During the study, healthcare professionals use the tool as a diagnostic support system to assist in the evaluation of complex dermatological conditions.

Sponsors & Collaborators

  • AI Labs Group S.L

    lead INDUSTRY

Principal Investigators

  • Antonio Martorell, PhD · Hospital Universitari de Manises

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-01
Primary Completion
2024-10-10
Completion
2024-10-10

Countries

  • Spain

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07428954 on ClinicalTrials.gov