We conducted a prospective, observational clinical validation study to assess the diagnostic accuracy of the AI algorithm (ADAE) in predicting melanoma from dermoscopy skin lesion images. Patients who had consented for a skin biopsy to exclude melanoma were eligible. All lesions underwent biopsy.
{
"acquisition_day": 1,
"age_approx": 45,
"anatom_site_general": "upper extremity",
"clin_size_long_diam_mm": "7.70",
"concomitant_biopsy": true,
"dermoscopic_type": "non-contact polarized",
"diagnosis_1": "Malignant",
"diagnosis_2": "Malignant epidermal proliferations",
"diagnosis_3": "Squamous cell carcinoma in situ",
"diagnosis_confirm_type": "histopathology",
"family_hx_mm": true,
"fitzpatrick_skin_type": "I",
"image_manipulation": "instrument only",
"image_type": "dermoscopic",
"lesion_id": "IL_6490559",
"melanocytic": false,
"patient_id": "IP_2891227",
"personal_hx_mm": false,
"sex": "male"
}
{
"acquisition_day": 1,
"age_approx": 65,
"anatom_site_general": "posterior torso",
"clin_size_long_diam_mm": "8.80",
"concomitant_biopsy": true,
"dermoscopic_type": "contact polarized",
"diagnosis_1": "Benign",
"diagnosis_2": "Benign melanocytic proliferations",
"diagnosis_3": "Nevus",
"diagnosis_4": "Nevus, Atypical, Dysplastic, or Clark",
"diagnosis_5": "Nevus, Atypical",
"diagnosis_confirm_type": "histopathology",
"family_hx_mm": false,
"fitzpatrick_skin_type": "II",
"image_manipulation": "instrument only",
"image_type": "dermoscopic",
"lesion_id": "IL_1168971",
"melanocytic": true,
"patient_id": "IP_6028537",
"personal_hx_mm": true,
"sex": "male"
}
{
"acquisition_day": 1,
"age_approx": 45,
"anatom_site_general": "upper extremity",
"clin_size_long_diam_mm": "1.40",
"concomitant_biopsy": true,
"diagnosis_1": "Benign",
"diagnosis_2": "Collision - Only benign proliferations",
"diagnosis_confirm_type": "histopathology",
"family_hx_mm": true,
"fitzpatrick_skin_type": "II",
"image_manipulation": "instrument only",
"image_type": "dermoscopic",
"lesion_id": "IL_2663985",
"melanocytic": true,
"patient_id": "IP_0918668",
"personal_hx_mm": false,
"sex": "female"
}