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Med."],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Wearable biometric monitoring devices (BMDs) and artificial intelligence (AI) enable the remote measurement and analysis of patient data in real time. These technologies have generated a lot of \u201chype,\u201d but their real-world effectiveness will depend on patients\u2019 uptake. Our objective was to describe patients\u2019 perceptions of the use of BMDs and AI in healthcare. We recruited adult patients with chronic conditions in France from the \u201cCommunity of Patients for Research\u201d (ComPaRe). Participants (1) answered quantitative and open-ended questions about the potential benefits and dangers of using of these new technologies and (2) participated in a case-vignette experiment to assess their readiness for using BMDs and AI in healthcare. Vignettes covered the use of AI to screen for skin cancer, remote monitoring of chronic conditions to predict exacerbations, smart clothes to guide physical therapy, and AI chatbots to answer emergency calls. A total of 1183 patients (51% response rate) were enrolled between May and June 2018. Overall, 20% considered that the benefits of technology (e.g., improving the reactivity in care and reducing the burden of treatment) greatly outweighed the dangers. Only 3% of participants felt that negative aspects (inadequate replacement of human intelligence, risks of hacking and misuse of private patient data) greatly outweighed potential benefits. We found that 35% of patients would refuse to integrate at least one existing or soon-to-be available intervention using BMDs and AI-based tools in their care. Accounting for patients\u2019 perspectives will help make the most of technology without impairing the human aspects of care, generating a burden or intruding on patients\u2019 lives.<\/jats:p>","DOI":"10.1038\/s41746-019-0132-y","type":"journal-article","created":{"date-parts":[[2019,6,14]],"date-time":"2019-06-14T10:26:28Z","timestamp":1560507988000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":231,"title":["Patients\u2019 views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort"],"prefix":"10.1038","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1863-6739","authenticated-orcid":false,"given":"Viet-Thi","family":"Tran","sequence":"first","affiliation":[]},{"given":"Carolina","family":"Riveros","sequence":"additional","affiliation":[]},{"given":"Philippe","family":"Ravaud","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,6,14]]},"reference":[{"key":"132_CR1","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1001\/jama.2014.17125","volume":"313","author":"EJ Topol","year":"2015","unstructured":"Topol, E. 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