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Improving Skin Cancer Management With Artificial Intelligence (04.17 SMARTI)

NCT04040114 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 200

Last updated 2021-08-19

No results posted yet for this study

Summary

The study is designed to be able to prove if the Molemap Artificial Intelligence (AI) algorithm can be used as a diagnostic aid in a clinical setting. This study will determine whether the diagnostic accuracy of the Molemap AI algorithm is comparable to a specialist dermatologist, teledermatologist and registrar (as a surrogate for a general practitioner). The study patient population will be adult patients who require skin cancer assessment.

The use of AI as a diagnostic aid may assist primary care physicians who have variable skill in skin cancer diagnosis and lead to more appropriate referrals (rapid referral for lesions requiring treatment and fewer referrals for benign lesions), thereby improving access and reducing waiting times for specialist care.

Conditions

Interventions

DEVICE

Molemap Skin Cancer Triage Artificial Intelligence Device

This device/software incorporates artificial intelligence to provide a diagnostic aide for clinicians of patients with potentially malignant skin lesions. The software is supported by the use of cameras for acquisition of images.

Sponsors & Collaborators

  • Monash University

    collaborator OTHER

  • Melanoma and Skin Cancer Trials Limited

    lead OTHER

Principal Investigators

  • Victoria Mar, A/Prof · Monash University, Australia

Study Design

Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
SEQUENTIAL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-10-01
Primary Completion
2021-05-19
Completion
2021-05-30

Countries

  • Australia

Study Locations

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Entities

Diseases
Companies

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 NCT04040114 on ClinicalTrials.gov