@文章{信息:doi/10.2196/22909，作者=“Haggenm{\“u}ller, Sarah和Krieghoff-Henning, Eva和Jutzi, Tanja和Trapp, Nicole和Kiehl, Lennard和Utikal, Jochen Sven和Fabian, Sascha和Brinker, Titus Josef”，标题=“数字原住民对皮肤癌诊断移动人工智能应用的偏好:调查研究”，期刊=“JMIR Mhealth Uhealth”，年=“2021”，月=“8”，日=“27”，卷=“9”，数=“8”，页=“e22909”，关键词=“人工智能”;皮肤癌;皮肤癌筛查;诊断;数字原生代;验收;担忧;偏好;背景:人工智能(AI)已经显示出改善各种疾病诊断的潜力，特别是在皮肤癌的早期发现方面。研究尚未调查人工智能技术在临床实践中的明确应用，或确定对年轻用户群体的附加价值。 Translation of AI-based diagnostic tools can only be successful if they are accepted by potential users. Young adults as digital natives may offer the greatest potential for successful implementation of AI into clinical practice, while at the same time, representing the future generation of skin cancer screening participants. Objective: We conducted an anonymous online survey to examine how and to what extent individuals are willing to accept AI-based mobile apps for skin cancer diagnostics. We evaluated preferences and relative influences of concerns, with a focus on younger age groups. Methods: We recruited participants below 35 years of age using three social media channels---Facebook, LinkedIn, and Xing. Descriptive analysis and statistical tests were performed to evaluate participants' attitudes toward mobile apps for skin examination. We integrated an adaptive choice-based conjoint to assess participants' preferences. We evaluated potential concerns using maximum difference scaling. Results: We included 728 participants in the analysis. The majority of participants (66.5{\%}, 484/728; 95{\%} CI 0.631-0.699) expressed a positive attitude toward the use of AI-based apps. In particular, participants residing in big cities or small towns (P=.02) and individuals that were familiar with the use of health or fitness apps (P=.02) were significantly more open to mobile diagnostic systems. Hierarchical Bayes estimation of the preferences of participants with a positive attitude (n=484) revealed that the use of mobile apps as an assistance system was preferred. Participants ruled out app versions with an accuracy of ≤65{\%}, apps using data storage without encryption, and systems that did not provide background information about the decision-making process. However, participants did not mind their data being used anonymously for research purposes, nor did they object to the inclusion of clinical patient information in the decision-making process. Maximum difference scaling analysis for the negative-minded participant group (n=244) showed that data security, insufficient trust in the app, and lack of personal interaction represented the dominant concerns with respect to app use. Conclusions: The majority of potential future users below 35 years of age were ready to accept AI-based diagnostic solutions for early detection of skin cancer. However, for translation into clinical practice, the participants' demands for increased transparency and explainability of AI-based tools seem to be critical. Altogether, digital natives between 18 and 24 years and between 25 and 34 years of age expressed similar preferences and concerns when compared both to each other and to results obtained by previous studies that included other age groups. ", issn="2291-5222", doi="10.2196/22909", url="https://mhealth.www.mybigtv.com/2021/8/e22909", url="https://doi.org/10.2196/22909", url="http://www.ncbi.nlm.nih.gov/pubmed/34448722" }