| 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 |
Kassam I, Ilkina D, Kemp J, Roble H, Carter-Langford A, Shen N. Patient Perspectives and Preferences for Consent in the Digital Health Context: State-of-the-art Literature Review. J Med Internet Res 2023;25:e42507. [PMID: 36763409 DOI: 10.2196/42507] [Reference Citation Analysis]
|
| 3 |
Macri R, Roberts SL. The Use of Artificial Intelligence in Clinical Care: A Values-Based Guide for Shared Decision Making. Curr Oncol 2023;30:2178-86. [PMID: 36826129 DOI: 10.3390/curroncol30020168] [Reference Citation Analysis]
|
| 4 |
Zhou Z, Ma Y, Pan T, Chen Y, Liu Y, Zhu F, Chen Q. Visual Analytics and Deep Mining of Multidimensional Oral Health Surveys (Preprint).. [DOI: 10.2196/preprints.46276] [Reference Citation Analysis]
|
| 5 |
Xu T, Ma Y, Pan T, Chen Y, Liu Y, Zhu F, Zhou Z, Chen Q. Visual Analytics and Deep Mining of Multidimensional Oral Health Surveys (Preprint).. [DOI: 10.2196/preprints.46275] [Reference Citation Analysis]
|
| 6 |
Kedar S, Khazanchi D. Neurology education in the era of artificial intelligence. Curr Opin Neurol 2023;36:51-8. [PMID: 36367213 DOI: 10.1097/WCO.0000000000001130] [Reference Citation Analysis]
|
| 7 |
Horsham C, Janda M, Kerr M, Soyer HP, Caffery LJ. Consumer perceptions on privacy and confidentiality in dermatology for 3D total-body imaging. Australas J Dermatol 2023;64:118-21. [PMID: 36349396 DOI: 10.1111/ajd.13952] [Reference Citation Analysis]
|
| 8 |
Caffery LJ, Janda M, Miller R, Abbott LM, Arnold C, Caccetta T, Guitera P, Shumack S, Fernández-Peñas P, Mar V, Soyer HP. Informing a position statement on the use of artificial intelligence in dermatology in Australia. Australas J Dermatol 2023;64:e11-20. [PMID: 36380357 DOI: 10.1111/ajd.13946] [Reference Citation Analysis]
|
| 9 |
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]
|
| 10 |
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]
|
| 11 |
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]
|
| 12 |
Varhol RJ, Randall S, Boyd JH, Robinson S. Australian general practitioner perceptions to sharing clinical data for secondary use: a mixed method approach. BMC Prim Care 2022;23:167. [DOI: 10.1186/s12875-022-01759-y] [Reference Citation Analysis]
|
| 13 |
van der Zander QEW, van der Ende-van Loon MCM, Janssen JMM, Winkens B, van der Sommen F, Masclee AAM, Schoon EJ. Artificial intelligence in (gastrointestinal) healthcare: patients' and physicians' perspectives. Sci Rep 2022;12:16779. [PMID: 36202957 DOI: 10.1038/s41598-022-20958-2] [Reference Citation Analysis]
|
| 14 |
Kassam I, Ilkina D, Kemp J, Roble H, Carter-langford A, Shen N. Patient Perspectives and Preferences for Consent in the Digital Health Context: A State-of-the-Art Literature Review (Preprint).. [DOI: 10.2196/preprints.42507] [Reference Citation Analysis]
|
| 15 |
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]
|
| 16 |
Saw SN, Ng KH. Current challenges of implementing artificial intelligence in medical imaging. Phys Med 2022;100:12-7. [PMID: 35714523 DOI: 10.1016/j.ejmp.2022.06.003] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
|
| 17 |
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]
|
| 18 |
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]
|
| 19 |
Amofa S, Gao J, Asante-mensah MG, Haruna CR, Qi X. Blockchain-Based Patient-to-Patient Health Data Sharing. Communications in Computer and Information Science 2022. [DOI: 10.1007/978-981-19-8445-7_13] [Reference Citation Analysis]
|
| 20 |
Charles WM, Delgado BM. Valuing Research Data: Blockchain-Based Management Methods. Blockchain in Life Sciences 2022. [DOI: 10.1007/978-981-19-2976-2_7] [Reference Citation Analysis]
|
