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For: McCradden MD, Sarker T, Paprica PA. Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research. BMJ Open 2020;10:e039798. [PMID: 33115901 DOI: 10.1136/bmjopen-2020-039798] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Jeyakumar T, Younus S, Zhang M, Clare M, Charow R, Karsan I, Dhalla A, Al-mouaswas D, Scandiffio J, Aling J, Salhia M, Lalani N, Overholt S, Wiljer D. Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings. JMIR AI 2023;2:e40973. [DOI: 10.2196/40973] [Reference Citation Analysis]
2 Wu C, Xu H, Bai D, Chen X, Gao J, Jiang X. Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis. BMJ Open 2023;13:e066322. [PMID: 36599634 DOI: 10.1136/bmjopen-2022-066322] [Reference Citation Analysis]
3 Schaarup JF, Aggarwal R, Dalsgaard E, Norman K, Dollerup OL, Ashrafian H, Witte DR, Sandbæk A, Hulman A. Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort. Diabetes Epidemiology and Management 2023;9:100114. [DOI: 10.1016/j.deman.2022.100114] [Reference Citation Analysis]
4 McCradden MD. Partnering with children and youth to advance artificial intelligence in healthcare. Pediatr Res 2023;93:284-6. [PMID: 35681090 DOI: 10.1038/s41390-022-02139-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to Enable the Research and Development of Artificial Intelligence Algorithms in a Hospital-Based Generic Infrastructure: Protocol for a Multistep Mixed Methods Study. JMIR Res Protoc 2022;11:e42208. [PMID: 36525300 DOI: 10.2196/42208] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Cumyn A, Ménard J, Barton A, Dault R, Lévesque F, Ethier J. Patients and Members of the Public’s Wishes Regarding Transparency in the Context of Secondary Use of Health Data: A Scoping Review (Preprint). Journal of Medical Internet Research 2022. [DOI: 10.2196/45002] [Reference Citation Analysis]
7 Cumyn A, Ménard J, Barton A, Dault R, Lévesque F, Ethier J. Transparency and the Secondary Use of Health Data: A Scoping Review of What Should Be Communicated to the Members of the Public, How and at What Conditions (Preprint).. [DOI: 10.2196/preprints.45002] [Reference Citation Analysis]
8 Götzl C, Hiller S, Rauschenberg C, Schick A, Fechtelpeter J, Fischer Abaigar U, Koppe G, Durstewitz D, Reininghaus U, Krumm S. Artificial intelligence-informed mobile mental health apps for young people: a mixed-methods approach on users' and stakeholders' perspectives. Child Adolesc Psychiatry Ment Health 2022;16:86. [PMID: 36397097 DOI: 10.1186/s13034-022-00522-6] [Reference Citation Analysis]
9 Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to enable research and development of AI algorithms in a hospital based generic in-frastructure: Results of a Multi-step mixed-methods Study (Preprint).. [DOI: 10.2196/preprints.43958] [Reference Citation Analysis]
10 Weinert L, Klass M, Schneider G, Heinze O. Exploring Stakeholder Requirements to enable research and development of AI algorithms in a hospital based generic infrastructure: Results of a Multi-step mixed-methods Study (Preprint). JMIR Formative Research 2022. [DOI: 10.2196/43958] [Reference Citation Analysis]
11 Jeyakumar T, Younus S, Zhang M, Clare M, Charow R, Karsan I, Dhalla A, Al-mouaswas D, Scandiffio J, Aling J, Salhia M, Lalani N, Overholt S, Wiljer D. Preparing for an Artificial Intelligence–Enabled Future: Patient Perspectives on Engagement and Health Care Professional Training for Adopting Artificial Intelligence Technologies in Health Care Settings (Preprint).. [DOI: 10.2196/preprints.40973] [Reference Citation Analysis]
12 Anderson JA, McCradden MD, Stephenson EA. Response to Open Peer Commentaries: On Social Harms, Big Tech, and Institutional Accountability. Am J Bioeth 2022;:1-3. [PMID: 35593914 DOI: 10.1080/15265161.2022.2075977] [Reference Citation Analysis]
13 McCradden MD, Anderson JA, A Stephenson E, Drysdale E, Erdman L, Goldenberg A, Zlotnik Shaul R. A Research Ethics Framework for the Clinical Translation of Healthcare Machine Learning. Am J Bioeth 2022;22:8-22. [PMID: 35048782 DOI: 10.1080/15265161.2021.2013977] [Cited by in Crossref: 15] [Cited by in F6Publishing: 9] [Article Influence: 15.0] [Reference Citation Analysis]
14 Chew HSJ, Achananuparp P. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review. J Med Internet Res 2022;24:e32939. [PMID: 35029538 DOI: 10.2196/32939] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 8.0] [Reference Citation Analysis]
15 Fritsch SJ, Blankenheim A, Wahl A, Hetfeld P, Maassen O, Deffge S, Kunze J, Rossaint R, Riedel M, Marx G, Bickenbach J. Attitudes and perception of artificial intelligence in healthcare: A cross-sectional survey among patients. DIGITAL HEALTH 2022;8:205520762211167. [DOI: 10.1177/20552076221116772] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
16 Aggarwal R, Farag S, Martin G, Ashrafian H, Darzi A. Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey. J Med Internet Res 2021;23:e26162. [PMID: 34236994 DOI: 10.2196/26162] [Cited by in Crossref: 6] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
17 Chew HSJ, Achananuparp P. Perceptions and Needs of Artificial Intelligence in Health Care to Increase Adoption: Scoping Review (Preprint).. [DOI: 10.2196/preprints.32939] [Reference Citation Analysis]
18 Saheb T, Saheb T, Carpenter DO. Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis. Comput Biol Med 2021;135:104660. [PMID: 34346319 DOI: 10.1016/j.compbiomed.2021.104660] [Cited by in Crossref: 12] [Cited by in F6Publishing: 6] [Article Influence: 6.0] [Reference Citation Analysis]
19 Khullar D, Casalino LP, Qian Y, Lu Y, Chang E, Aneja S. Public vs physician views of liability for artificial intelligence in health care. J Am Med Inform Assoc 2021;28:1574-7. [PMID: 33871009 DOI: 10.1093/jamia/ocab055] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
20 Lennox-Chhugani N, Chen Y, Pearson V, Trzcinski B, James J. Women's attitudes to the use of AI image readers: a case study from a national breast screening programme. BMJ Health Care Inform 2021;28:e100293. [PMID: 33795236 DOI: 10.1136/bmjhci-2020-100293] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
21 Aggarwal R, Farag S, Martin G, Ashrafian H, Darzi A. Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey (Preprint).. [DOI: 10.2196/preprints.26162] [Reference Citation Analysis]