dc.contributor.author | Siala, H | en_US |
dc.contributor.author | Wang, Y | en_US |
dc.date.accessioned | 2023-03-10T15:41:29Z | |
dc.date.available | 2022-02-03 | en_US |
dc.date.issued | 2022-03 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/84919 | |
dc.description.abstract | A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare have emerged as AI becomes increasingly applicable and technologically advanced. The last decade has witnessed significant endeavors in striking a balance between ethical considerations and health transformation led by AI. Despite a growing interest in AI ethics, implementing AI-related technologies and initiatives responsibly in healthcare settings remains a challenge. In response to this topical challenge, we reviewed 253 articles pertaining to AI ethics in healthcare published between 2000 and 2020, summarizing the coherent themes of responsible AI initiatives. A preferred reporting items for systematic review and meta-analysis (PRISMA) approach was employed to screen and select articles, and a hermeneutic approach was adopted to conduct systematic literature review. By synthesizing relevant knowledge from AI governance and ethics, we propose a responsible AI initiative framework that encompasses five core themes for AI solution developers, healthcare professionals, and policy makers. These themes are summarized in the acronym SHIFT: Sustainability, Human centeredness, Inclusiveness, Fairness, and Transparency. In addition, we unravel the key issues and challenges concerning responsible AI use in healthcare, and outline avenues for future research. | en_US |
dc.format.extent | 114782 - ? | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Soc Sci Med | en_US |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.subject | AI ethics | en_US |
dc.subject | Digital health | en_US |
dc.subject | Health-medicine | en_US |
dc.subject | Responsible artificial intelligence (AI) | en_US |
dc.subject | Systematic literature review | en_US |
dc.subject | Virtue ethics | en_US |
dc.subject | Artificial Intelligence | en_US |
dc.subject | Delivery of Health Care | en_US |
dc.subject | Health Facilities | en_US |
dc.subject | Humans | en_US |
dc.subject | Morals | en_US |
dc.subject | Technology | en_US |
dc.title | SHIFTing artificial intelligence to be responsible in healthcare: A systematic review. | en_US |
dc.type | Article | |
dc.identifier.doi | 10.1016/j.socscimed.2022.114782 | en_US |
pubs.author-url | https://www.ncbi.nlm.nih.gov/pubmed/35152047 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 296 | en_US |
dcterms.dateAccepted | 2022-02-03 | en_US |