Skin cancer patients, including melanoma, basal cell carcinoma and squamous cell carcinoma artificial intelligence, machine learning, melanoma, pigmented skin lesions, skin cancer screening
Conditions
Interventions
1. Teledermatology system including information from
- Sub-district health promoting hospital personnel (skin lesion images, text history, patients'
awareness)
- central dermatologists (spot diagnosis with up to 2 differential diagnoses, level of confidence, recommendation for next step of management)
- local dermatologist, in case of referral (ty
Experimental Device,No Intervention No treatment
Nationwide Skin Cancer Screening Platform using Teledermatology and Artificial Intelligence technology (STAT),Standard of care
Sponsors
Thailand Science Research and Innovation
Institute of Dermatology
Eligibility
Sex/Gender
All
Age
18 Years to No maximum
Inclusion criteria
Inclusion criteria: Male or female patents Age more than 18 years old Who has skin lesion(s) that is suspected for skin cancer and visits the Sub-district Health Promoting Hospitals of 1st-12th Area Health in Thailand.
Exclusion criteria
Exclusion criteria: The patient who was once diagnosed skin cancer. The suspected skin lesion(s) is located in the area that is difficult to be shot by the camera, such as ear canals, nasal canals, intraorbital area, vagina or rectum. The patient doesn't give an informed consent for photo shooting.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| numbers and percentage of system-assisted referred patients 18 months after the beginning of the study number and percentage of patients | — |
Secondary
| Measure | Time frame |
|---|---|
| Patient's self awareness about skin cancer 18 months after the beginning of the study ratio of number of patients that have self awareness / patients that neglect about the existing skin cancer lesions | — |
Countries
Thailand
Contacts
Public ContactOnjuta Chayangsu
Institute of Dermatology
Outcome results
None listed