Augmented Trainees using Artificial Intelligence - International Randomized Controlled Trial

Prospective Study of Skin Cancer Diagnosis with Deep Neural Network

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0005614

Enrollment

600

Registered

2020-11-23

Start date

2020-11-16

Completion date

Unknown

Last updated

2021-10-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Medical Device : Dermatology trainees will be assisted with the Top 5 diagnoses and the malignancy score which are predicted by the algorithm using the digital photographs and basic demographics of th

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Cases with a suspected skin lesion of skin cancer by either the patient or the physician.

Exclusion criteria

Exclusion criteria: Patients with a biopsy report which was performed in another hospital. Age < 19

Design outcomes

Primary

Measure	Time frame
accuracy for the diagnosis of skin neoplasms	—

Secondary

Measure	Time frame
sensitivity and specificity for the diagnosis of skin cancer	—

Countries

Korea, Republic of

Contacts

Public ContactSung Eun Chang

Asan Medical Center

csesnumd@gmail.com+82-2-3010-3460

Outcome results