{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T08:31:35Z","timestamp":1773736295822,"version":"3.50.1"},"reference-count":20,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T00:00:00Z","timestamp":1762300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"DOI":"10.1007\/s10916-025-02296-8","type":"journal-article","created":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T01:29:50Z","timestamp":1762306190000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Trust is all you Need: Reinforcing the Patient-physician Bond in Times of AI"],"prefix":"10.1007","volume":"49","author":[{"given":"Florian","family":"Reis","sequence":"first","affiliation":[]},{"given":"Moritz","family":"Reis","sequence":"additional","affiliation":[]},{"given":"Norman Michael","family":"Drzeniek","sequence":"additional","affiliation":[]},{"given":"Felix","family":"Balzer","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,11,5]]},"reference":[{"issue":"9258","key":"2296_CR1","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1016\/s0140-6736(00)04169-6","volume":"357","author":"Z Di Blasi","year":"2001","unstructured":"Di Blasi Z, Harkness E, Ernst E, Georgiou A, Kleijnen J. Influence of context effects on health outcomes: a systematic review. Lancet. 2001;357(9258):757\u2013762. doi:https:\/\/doi.org\/10.1016\/s0140-6736(00)04169-6","journal-title":"Lancet"},{"issue":"1","key":"2296_CR2","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1038\/s41746-025-01543-z","volume":"8","author":"H Takita","year":"2025","unstructured":"Takita H, Kabata D, Walston SL, et al. A systematic review and meta-analysis of diagnostic performance comparison between generative AI and physicians. NPJ Digit Med. 2025;8(1):175. doi:https:\/\/doi.org\/10.1038\/s41746-025-01543-z","journal-title":"NPJ Digit Med"},{"key":"2296_CR3","doi-asserted-by":"publisher","first-page":"h3480","DOI":"10.1136\/bmj.h3480","volume":"351","author":"HL Semigran","year":"2015","unstructured":"Semigran HL, Linder JA, Gidengil C, Mehrotra A. Evaluation of symptom checkers for self diagnosis and triage: audit study. BMJ. 2015;351:h3480. Published 2015 Jul 8. doi:https:\/\/doi.org\/10.1136\/bmj.h3480","journal-title":"BMJ"},{"issue":"20","key":"2296_CR4","doi-asserted-by":"publisher","first-page":"1909","DOI":"10.1056\/NEJMoa1901183","volume":"381","author":"MV Perez","year":"2019","unstructured":"Perez MV, Mahaffey KW, Hedlin H, et al. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. N Engl J Med. 2019;381(20):1909\u20131917. doi:https:\/\/doi.org\/10.1056\/NEJMoa1901183","journal-title":"N Engl J Med"},{"issue":"3","key":"2296_CR5","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1038\/s41591-024-02853-7","volume":"30","author":"CB Goldberg","year":"2024","unstructured":"Goldberg CB, Adams L, Blumenthal D, et al. To do no harm - and the most good - with AI in health care. Nat Med. 2024;30(3):623\u2013627. doi:https:\/\/doi.org\/10.1038\/s41591-024-02853-7","journal-title":"Nat Med"},{"key":"2296_CR6","doi-asserted-by":"publisher","unstructured":"Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Med. 2019;17(1):195. Published 2019 Oct 29. doi:https:\/\/doi.org\/10.1186\/s12916-019-1426-2","DOI":"10.1186\/s12916-019-1426-2"},{"key":"2296_CR7","doi-asserted-by":"publisher","first-page":"e56306","DOI":"10.2196\/56306","volume":"27","author":"G Starke","year":"2025","unstructured":"Starke G, Gille F, Termine A, et al. Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts. J Med Internet Res. 2025;27:e56306. Published 2025 Feb 19. doi:https:\/\/doi.org\/10.2196\/56306","journal-title":"J Med Internet Res"},{"issue":"8","key":"2296_CR8","doi-asserted-by":"publisher","first-page":"e390","DOI":"10.1016\/S2589-7500(19)30197-9","volume":"1","author":"M DeCamp","year":"2019","unstructured":"DeCamp M, Tilburt JC. Why we cannot trust artificial intelligence in medicine. Lancet Digit Health. 2019;1(8):e390. doi:https:\/\/doi.org\/10.1016\/S2589-7500(19)30197-9","journal-title":"Lancet Digit Health"},{"issue":"11","key":"2296_CR9","doi-asserted-by":"publisher","first-page":"3098","DOI":"10.1038\/s41591-024-03180-7","volume":"30","author":"M Reis","year":"2024","unstructured":"Reis M, Reis F, Kunde W. Influence of believed AI involvement on the perception of digital medical advice. Nat Med. 2024;30(11):3098\u20133100. doi:https:\/\/doi.org\/10.1038\/s41591-024-03180-7","journal-title":"Nat Med"},{"issue":"7","key":"2296_CR10","doi-asserted-by":"publisher","first-page":"e2521643","DOI":"10.1001\/jamanetworkopen.2025.21643","volume":"8","author":"M Reis","year":"2025","unstructured":"Reis M, Reis F, Kunde W. Public Perception of Physicians Who Use Artificial Intelligence. JAMA Netw Open. 2025;8(7):e2521643. Published 2025 Jul 1. doi:https:\/\/doi.org\/10.1001\/jamanetworkopen.2025.21643","journal-title":"JAMA Netw Open"},{"key":"2296_CR11","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1038\/s41746-025-01901-x","volume":"8","author":"H Yang","year":"2025","unstructured":"Yang H, Dai T, Mathioudakis N, et al. Peer perceptions of clinicians using generative AI in medical decision-making. NPJ Digit Med. 8, 530 (2025). doi:https:\/\/doi.org\/10.1038\/s41746-025-01901-x","journal-title":"NPJ Digit Med"},{"issue":"12","key":"2296_CR12","doi-asserted-by":"publisher","first-page":"1636","DOI":"10.1038\/s41562-021-01146-0","volume":"5","author":"R Cadario","year":"2021","unstructured":"Cadario R, Longoni C, Morewedge CK. Understanding, explaining, and utilizing medical artificial intelligence. Nat Hum Behav. 2021;5(12):1636\u20131642. doi:https:\/\/doi.org\/10.1038\/s41562-021-01146-0","journal-title":"Nat Hum Behav"},{"key":"2296_CR13","doi-asserted-by":"publisher","unstructured":"Mello MM, Char D, Xu SH. Ethical Obligations to Inform Patients About Use of AI Tools. JAMA. Published online July 21, 2025. doi:https:\/\/doi.org\/10.1001\/jama.2025.11417","DOI":"10.1001\/jama.2025.11417"},{"key":"2296_CR14","doi-asserted-by":"publisher","unstructured":"Millen M, Tai-Seale M, Longhurst CA. A Call for Disclosure When Using AI for Patient Communications. NEJM AI. 2025;2(6). doi: https:\/\/doi.org\/10.1056\/AIp2401167","DOI":"10.1056\/AIp2401167"},{"issue":"1","key":"2296_CR15","doi-asserted-by":"publisher","first-page":"e250477","DOI":"10.1148\/radiol.250477","volume":"316","author":"P Rajpurkar","year":"2025","unstructured":"Rajpurkar P, Topol EJ. Beyond Assistance: The Case for Role Separation in AI-Human Radiology Workflows. Radiology. 2025;316(1):e250477. doi:https:\/\/doi.org\/10.1148\/radiol.250477","journal-title":"Radiology"},{"issue":"4","key":"2296_CR16","doi-asserted-by":"publisher","first-page":"251","DOI":"10.2471\/BLT.19.237487","volume":"98","author":"I Habli","year":"2020","unstructured":"Habli I, Lawton T, Porter Z. Artificial intelligence in health care: accountability and safety. Bull World Health Organ. 2020;98(4):251\u2013256. doi:https:\/\/doi.org\/10.2471\/BLT.19.237487","journal-title":"Bull World Health Organ"},{"key":"2296_CR17","doi-asserted-by":"publisher","first-page":"1422177","DOI":"10.3389\/fpsyg.2024.1422177","volume":"15","author":"R Riedl","year":"2024","unstructured":"Riedl R, Hogeterp SA, Reuter M. Do patients prefer a human doctor, artificial intelligence, or a blend, and is this preference dependent on medical discipline? Empirical evidence and implications for medical practice. Front Psychol. 2024;15:1422177. Published 2024 Aug 12. doi:https:\/\/doi.org\/10.3389\/fpsyg.2024.1422177","journal-title":"Front Psychol"},{"issue":"1","key":"2296_CR18","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1186\/s12911-020-01332-6","volume":"20","author":"J Amann","year":"2020","unstructured":"Amann J, Blasimme A, Vayena E, Frey D, Madai VI; Precise4Q consortium. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective. BMC Med Inform Decis Mak. 2020;20(1):310. Published 2020 Nov 30. doi:https:\/\/doi.org\/10.1186\/s12911-020-01332-6","journal-title":"BMC Med Inform Decis Mak"},{"issue":"20","key":"2296_CR19","doi-asserted-by":"publisher","first-page":"1701","DOI":"10.1001\/jama.2024.21772","volume":"332","author":"MR Patel","year":"2024","unstructured":"Patel MR, Balu S, Pencina MJ. Translating AI for the Clinician. JAMA. 2024;332(20):1701\u20131702. doi:https:\/\/doi.org\/10.1001\/jama.2024.21772","journal-title":"JAMA"},{"issue":"8","key":"2296_CR20","doi-asserted-by":"publisher","first-page":"786","DOI":"10.1056\/NEJMra2503232","volume":"393","author":"RE Abdulnour","year":"2025","unstructured":"Abdulnour RE, Gin B, Boscardin CK. Educational Strategies for Clinical Supervision of Artificial Intelligence Use. N Engl J Med. 2025;393(8):786\u2013797. doi:https:\/\/doi.org\/10.1056\/NEJMra2503232","journal-title":"N Engl J Med"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-025-02296-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10916-025-02296-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-025-02296-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T01:29:51Z","timestamp":1762306191000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10916-025-02296-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,5]]},"references-count":20,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["2296"],"URL":"https:\/\/doi.org\/10.1007\/s10916-025-02296-8","relation":{},"ISSN":["1573-689X"],"issn-type":[{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,5]]},"assertion":[{"value":"3 October 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 October 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 November 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"F.R. reports having an employment contract with Pfizer outside the submitted work. No other disclosures are reported.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"Not applicable.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Clinical Trial Number"}}],"article-number":"154"}}