IMPORTANCEThe use of artificial intelligence (AI) is expanding throughout the field of medicine. In dermatology, researchers are evaluating the potential for direct-to-patient and clinician decision-support AI tools to classify skin lesions. Although AI is poised to change how patients engage in health care, patient perspectives remain poorly understood.OBJECTIVE To explore how patients conceptualize AI and perceive the use of AI for skin cancer screening. DESIGN, SETTING, AND PARTICIPANTSA qualitative study using a grounded theory approach to semistructured interview analysis was conducted in general dermatology clinics at the Brigham and Women's Hospital and melanoma clinics at the Dana-Farber Cancer Institute. Forty-eight patients were enrolled. Each interview was independently coded by 2 researchers with interrater reliability measurement; reconciled codes were used to assess code frequency. The study was conducted from May 6 to July 8, 2019.MAIN OUTCOMES AND MEASURES Artificial intelligence concept, perceived benefits and risks of AI, strengths and weaknesses of AI, AI implementation, response to conflict between human and AI clinical decision-making, and recommendation for or against AI.RESULTS Of 48 patients enrolled, 26 participants (54%) were women; mean (SD) age was 53.3 (21.7) years. Sixteen patients (33%) had a history of melanoma, 16 patients (33%) had a history of nonmelanoma skin cancer only, and 16 patients (33%) had no history of skin cancer. Twenty-four patients were interviewed about a direct-to-patient AI tool and 24 patients were interviewed about a clinician decision-support AI tool. Interrater reliability ratings for the 2 coding teams were κ = 0.94 and κ = 0.89. Patients primarily conceptualized AI in terms of cognition. Increased diagnostic speed (29 participants [60%]) and health care access (29 [60%]) were the most commonly perceived benefits of AI for skin cancer screening; increased patient anxiety was the most commonly perceived risk (19 [40%]). Patients perceived both more accurate diagnosis (33 [69%]) and less accurate diagnosis (41 [85%]) to be the greatest strength and weakness of AI, respectively. The dominant theme that emerged was the importance of symbiosis between humans and AI (45 [94%]). Seeking biopsy was the most common response to conflict between human and AI clinical decision-making (32 [67%]). Overall, 36 patients (75%) would recommend AI to family members and friends. CONCLUSIONS AND RELEVANCEIn this qualitative study, patients appeared to be receptive to the use of AI for skin cancer screening if implemented in a manner that preserves the integrity of the human physician-patient relationship.

IMPORTANCEPerceived stigma among patients with alopecia is associated with impaired quality of life; however, the magnitude of laypersons' stigma toward individuals with alopecia is unknown.OBJECTIVE To determine the prevalence and magnitude of laypersons' stigma toward individuals with varying degrees of alopecia and whether stigma increases with increased severity of alopecia. DESIGN, SETTING, AND PARTICIPANTSThis was a cross-sectional study using an internet survey administered to a convenience sample of adult respondents in the US participating on the Amazon Mechanical Turk platform. Portrait images of 6 individuals without hair loss were created using artificial intelligence and stock images. Each portrait was edited to create 2 additional versions, 1 with scalp hair loss and 1 with complete hair loss, for a total of 18 images. On January 9 to 10, 2020, the survey presented each internet respondent with 1 randomly selected portrait to be used in answering a series of stigma-related questions from 3 domains: stereotypes, social distance, and disease-related myths; the third domain was presented only to respondents who believed that the individual pictured had a medical condition. MAIN OUTCOMES AND MEASURESThe main outcome was the prevalence and magnitude of stigma of laypersons toward individuals with alopecia and the percentage of laypersons who believed the individual pictured had a medical condition as recorded in survey responses. RESULTSThe survey was completed by 2015 respondents (99.9% completion rate) with a mean age of 37 (range, 18-78) years; 1014 (50.3%) were men; 1596 (79.2%) were White; and 1397 (69.3%) had a college or postcollege education. Endorsement of every stigma item increased as alopecia severity increased (2.4%-27.6%). Absolute change on the stereotype (0.5-0.6) and social distance scales (0.2-0.5) also increased, indicating more stigma. The percentage of respondents believing the individual pictured had a medical condition increased as alopecia severity increased (33.6%-75.7%; P < .001). Among the subgroup of respondents who were asked to rate their agreement with disease-related myths, the absolute change on the myth scale decreased as alopecia severity increased, indicating decreased stigma (−0.7 to −1.2). CONCLUSIONS AND RELEVANCEThis cross-sectional survey study found that stigmatizing attitudes of laypersons toward patients with alopecia exist across a multitude of social and professional scenarios. Stigma prevalence and magnitude vary by alopecia severity and possibly by whether alopecia is believed to be a medical condition.