{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,25]],"date-time":"2026-10-25T02:42:42Z","timestamp":1792896162378,"version":"4.5.0"},"reference-count":43,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:00:00Z","timestamp":1768262400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/100005339","name":"American Academy of Neurology","doi-asserted-by":"publisher","award":["Clinical Research Training Scholarship"],"award-info":[{"award-number":["Clinical Research Training Scholarship"]}],"id":[{"id":"10.13039\/100005339","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Palliat Med"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>The use of artificial intelligence (AI) in medicine has surged. Given the sensitive nature of palliative care, it is crucial to apply AI tools in a patient-centered and ethical manner.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Aim:<\/jats:title>\n                    <jats:p>We sought to understand the ethical implications of implementing AI-based tools in palliative care from various stakeholders.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design:<\/jats:title>\n                    <jats:p>Using a framework of ethics of care, we conducted thematic analysis to identify emerging themes.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting\/participants:<\/jats:title>\n                    <jats:p>We recruited and interviewed 22 participants: six patients, four care-partners, five clinicians, three bioethicists, and four clinician-bioethicists, recruited through a single hospital clinic for patients and care-partners and purposeful snowball sampling for clinicians and bioethicists based on their knowledge and interest in AI-based tools. The mean age of participants was 48\u2009years old; 64% were male. Clinician participants had practiced for a mean of 11\u2009years, and ethicists for 15\u2009years. We aimed to recruit clinicians and bioethicists from multiple states and specialties.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>From the interviews we extracted five main themes: (1) Primacy of the doctor-patient relationship over AI performance; (2) Humans have intuition and nuance that AI lacks; (3) Agreement about the importance of oversight of AI tools; (4) New AI technologies should include a process for patient education; and (5) AI increases efficiency, scalability, and a more unified approach to serious illness.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions:<\/jats:title>\n                    <jats:p>When building and implementing AI-based tools, we recommend: establishing oversight committees; reflecting on the unique contributions of humans to care; proactively educating patients and contextualizing the tools; and ensuring data use is restricted to clinical care.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02692163251409290","type":"journal-article","created":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T09:44:21Z","timestamp":1768297461000},"page":"667-677","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["A qualitative study with patients, care-partners, clinicians, and bioethicists to identify ethical considerations of artificial intelligence tools in palliative care"],"prefix":"10.1177","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2081-5667","authenticated-orcid":false,"given":"John Y.","family":"Rhee","sequence":"first","affiliation":[{"name":"Center for Neuro-Oncology, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA"},{"name":"Department of Supportive Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8572-7183","authenticated-orcid":false,"given":"Paul","family":"Miller","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zachary","family":"Tentor","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amanda","family":"Reich","sequence":"additional","affiliation":[{"name":"Center for Surgery and Public Health, Brigham and Women\u2019s Hospital, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9776-7114","authenticated-orcid":false,"given":"Alexi A.","family":"Wright","sequence":"additional","affiliation":[{"name":"Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2090-2039","authenticated-orcid":false,"given":"Charlotta","family":"Lindvall","sequence":"additional","affiliation":[{"name":"Department of Supportive Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,1,13]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11604-018-0779-3"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1038\/s43856-023-00370-1"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1001\/jama.290.1.98"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.320.7233.469"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-018-0677-8"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1089\/jpm.2023.0471"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpainsymman.2024.11.016"},{"key":"e_1_3_3_9_2","article-title":"Deep learning for cancer symptoms monitoring on the basis of electronic health record unstructured clinical notes","volume":"6","author":"Lindvall C","year":"2022","unstructured":"Lindvall C, Deng CY, Agaronnik ND, et al. 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