Page 80 - AIH-1-2
P. 80

Artificial Intelligence in Health                                     Perspective on AI in eye care practices



               aids and contributing retinal images to a repository: Web-     doi: 10.1186/s12913-023-09493-6
               based interview study. JMIR Hum Factors. 2023;10:e40887.
                                                               52.  Tan TF, Thirunavukarasu AJ, Jin L, et al. Artificial intelligence
               doi: 10.2196/40887                                 and digital health in global eye health: Opportunities and
                                                                  challenges. Lancet Glob Health. 2023;11(9):e1432-e1443.
            42.  Al-Khaled T, Valikodath N, Cole E,  et al. Evaluation
               of physician perspectives of artificial intelligence in      doi: 10.1016/S2214-109X(23)00323-6
               ophthalmology: A  pilot  study.  Invest Ophthalmol Vis Sci.   53.  Li JO, Liu H, Ting DSJ,  et al. Digital technology, tele-
               2020;61(7):202.                                    medicine  and  artificial  intelligence  in  ophthalmology:
            43.  Scheetz J, Rothschild P, McGuinness M,  et al.  A  survey   A global perspective. Prog Retin Eye Res. 2021;82:100900.
               of clinicians on the use of artificial intelligence in      doi: 10.1016/j.preteyeres.2020.100900
               ophthalmology, dermatology, radiology and radiation
               oncology. Sci Rep. 2021;11(1):5193.             54.  Jin K, Ye J. Artificial intelligence and deep learning in
                                                                  ophthalmology: Current status and future perspectives. Adv
               doi: 10.1038/s41598-021-84698-5                    Ophthalmol Pract Res. 2022;2(3):100078.
            44.  Valikodath NG, Al-Khaled T, Cole E,  et  al. Evaluation      doi: 10.1016/j.aopr.2022.100078
               of pediatric ophthalmologists’ perspectives of artificial
               intelligence in ophthalmology.  J  AAPOS. 2021;25(3):164.  55.  Balogh EP, Miller BT, Ball JR, editors. Improving Diagnosis
               e1-164.e5.                                         in Health Care. United States: National Academies Press
                                                                  (US); 2015.
               doi: 10.1016/j.jaapos.2021.01.011
                                                               56.  Croskerry P. Perspectives on diagnostic failure and patient
            45.  Alwadani AF, Zakaria MO, Alwadany MN,  et al.    safety. Healthc Q. 2012;15 Spec No:50-56.
               Ophthalmologists’  view  of  artificial  intelligence:  Results      doi: 10.12927/hcq.2012.22841
               of a cross-sectional survey.  Int J Med Dev Countries.
               2023;7(5):811-817.                              57.  Ruamviboonsuk P, Chantry S, Seresirikachorn K,
                                                                  Ruamviboonsuk V,  Sangroongruangsri S. Economic
               doi: 10.24911/IJMDC.51-1673725204
                                                                  evaluations of artificial intelligence in ophthalmology. Asia
            46.  Islam MM, Poly TN, Li YJ. Recent advancement of clinical   Pac J Ophthalmol (Phila). 2021;10(3):307-316.
               information systems: Opportunities and challenges.  Yearb      doi: 10.1097/APO.0000000000000403
               Med Inform. 2018;27(1):83-90.
                                                               58.  Gray BH, editors. Institute of Medicine (US). Committee on
               doi: 10.1055/s-0038-1667075                        Implications of For-Profit Enterprise in Health Care. United
            47.  Sauerbrei A, Kerasidou A, Lucivero F, Hallowell N. The   States: National Academies Press (US); 1986.
               impact of artificial intelligence on the person-centred,   59.  Institute of Medicine (US) Committee on regional health
               doctor-patient relationship: Some problems and solutions.   data networks. In: Donaldson MS, Lohr KN, editors. Health
               BMC Med Inform Decis Mak. 2023;23(1):73.           Data in the Information Age: Use, Disclosure, and Privacy.
               doi: 10.1186/s12911-023-02162-y                    United States: National Academies Press (US); 1994.
            48.  Kerasidou A. Artificial intelligence and the ongoing need   60.  Tegegne MD, Melaku MS, Shimie AW, et al. Health professionals’
               for empathy, compassion and trust in healthcare. Bull World   knowledge and attitude towards patient confidentiality and
               Health Organ. 2020;98(4):245-250.                  associated factors in a resource-limited setting: A  cross-
                                                                  sectional study. BMC Med Ethics. 2022;23(1):26.
               doi: 10.2471/BLT.19.237198
                                                                  doi: 10.1186/s12910-022-00765-0
            49.  Hogg  HDJ,  Al-Zubaidy  M,  Talks  J,  et al.  Stakeholder
               perspectives of clinical artificial intelligence implementation:   61.  Moudatsou M, Stavropoulou A, Philalithis A, Koukouli S.
               Systematic review of qualitative evidence. J Med Internet Res.   The role of empathy in health and social care professionals.
               2023;25:e39742.                                    Healthcare (Basel). 2020;8(1):26.
               doi: 10.2196/39742                                 doi: 10.3390/healthcare8010026
            50.  Castagno S, Khalifa M. Perceptions of artificial intelligence   62.  McNulty JP, Politis Y. Empathy, emotional intelligence
               among healthcare staff: A  qualitative survey study.  Front   and interprofessional skills in healthcare education. J Med
               Artif Intell. 2020;3:578983.                       Imaging Radiat Sci. 2023;54(2):238-246.
               doi: 10.3389/frai.2020.578983                      doi: 10.1016/j.jmir.2023.02.014
            51.  Orlova IA, Akopyan ZA, Plisyuk A, et al. Opinion research   63.  Murdoch  B. Privacy  and artificial  intelligence:  Challenges
               among Russian Physicians on the application of technologies   for protecting health information in a new era. BMC Med
               using artificial intelligence in the field of medicine and   Ethics. 2021;22(1):122.
               health care. BMC Health Serv Res. 2023;23(1):749.     doi: 10.1186/s12910-021-00687-3


            Volume 1 Issue 2 (2024)                         74                               doi: 10.36922/aih.2809
   75   76   77   78   79   80   81   82   83   84   85