Background: Patients with skin lesions suspicious for skin cancer or atypical melanocytic nevi of uncertain malignant potential often present to dermatologists, who may have variable dermoscopy triage clinical experience.
Objective: To evaluate the clinical utility of a digital dermoscopy image-based artificial intelligence algorithm (DDI-AI device) on the diagnosis and management of skin cancers by dermatologists.
Methods: Thirty-six United States board-certified dermatologists evaluated 50 clinical images and 50 digital dermoscopy images of the same skin lesions (25 malignant and 25 benign), first without and then with knowledge of the DDI-AI device output.
Background: Current assessments on topical treatment attributes in actinic keratosis (AK) do not evaluate safety, effectiveness, and satisfaction from both clinician and patient perspectives, creating an unmet need for more comprehensive AK-specific measures that fully capture the patient experience.
Objective: To develop an actinic keratosis-specific expert panel questionnaire (AK-EPQ) of patient-reported outcomes and clinician-reported outcomes for use in research studies.
Methods: Using interviews of patients with AK and targeted literature reviews, a 9-person consensus panel of dermatologists with expertise in AK treatment was convened to develop the AK-EPQ to assess AK-specific patient-reported outcomes and clinician-reported outcomes.