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The aim of this study is to understand patients\u2019 perceptions and acceptance of using AI technology to interpret their radiology reports. We conducted semi-structured interviews with 13 participants to elicit reflections pertaining to the use of AI technology in radiology report interpretation. A thematic analysis approach was employed to analyze the interview data. Participants have a generally positive attitude toward using AI-based systems to comprehend their radiology reports. AI is perceived to be particularly useful in seeking actionable information, confirming the doctor\u2019s opinions, and preparing for the consultation. However, we also found various concerns related to the use of AI in this context, such as cyber-security, accuracy, and lack of empathy. Our results highlight the necessity of providing AI explanations to promote people\u2019s trust and acceptance of AI. Designers of patient-centered AI systems should employ user-centered design approaches to address patients\u2019 concerns. Such systems should also be designed to promote trust and deliver concerning health results in an empathetic manner to optimize the user experience.<\/jats:p>","DOI":"10.1177\/14604582211011215","type":"journal-article","created":{"date-parts":[[2021,4,29]],"date-time":"2021-04-29T05:39:09Z","timestamp":1619674749000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":93,"title":["Patients\u2019 perceptions of using artificial intelligence (AI)-based technology to comprehend radiology imaging data"],"prefix":"10.1177","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6973-6903","authenticated-orcid":false,"given":"Zhan","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Citardi","sequence":"additional","affiliation":[{"name":"Pace University, 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