|
1. Jiang F, Jiang Y, Zhi H, Dong Y, Li A, Ma S. Artificial intelligence in healthcare: past, present and future. Nature Biomedical Engineering 2021; 5(1): 1-11.## 2. Topol EJ. Deep medicine: how artificial intelligence can make healthcare human again. 1sted. Basic Books, 2023. ## 3. Esteva A, Robicquet A, Ramsundar B, Kuleshov V, DePristo M, Chou K, et al. A Guide to Deep Learning in Healthcare. Nature Medicine 2023; 29(1): 25-36. ## [ DOI:10.1038/s41591-018-0316-z] [ PMID] 4. Shah S, Al Kuwaiti A, Nazer K, Al-Reedy A, Al-Shehri S, Al-Muhanna A, et al. The role of artificial intelligence in healthcare: a comprehensive review. Journal of Healthcare Engineering 2023; 13(6): 951. ## [ DOI:10.3390/jpm13060951] [ PMID] [ ] 5. Obermeyer Z, Emanuel EJ. Predicting the future - big data, machine learning, and clinical medicine. The New England Journal of Medicine 2021; 375(13): 1216-9. ## [ DOI:10.1056/NEJMp1606181] [ PMID] [ ] 6. Hinton GE. Deep learning for healthcare: review and future directions for research and practice. Journal of Biomedical Informatics 2023; 127; 22-8. ## 7. Krittanawong C. Artificial intelligence in health care: anticipating challenges to ethics, privacy, and bias. JAMA 2022; 329(6): 491-2. ## 8. Bates DW. The role of artificial intelligence in patient experience enhancement: a systematic review. Journal of Medical Internet Research 2023; 25(2): e20629. ## 9. Lee CH. The impact of artificial intelligence on patient experience: a systematic review of the literature and future directions for research and practice. International Journal of Medical Informatics 2023; 170: 22. ## 10. Choudhury A. The future of ai in healthcare: opportunities and challenges. Health Affairs 2022; 41(4): 467-75. ## 11. O'Connor JJ. The role of artificial intelligence in reducing diagnostic errors in healthcare: a review of the literature and future directions for research and practice. BMJ Quality & Safety 2023; 32(4): 296-302. ## 12. Hwang TJ. The role of artificial intelligence in clinical decision-making: a systematic review. Journal of Clinical Medicine 2021; 10(9): 76-86. ## 13. Esteva A. A guide to deep learning in healthcare. Nature Medicine 2023; 29(1): 25-36. ## [ DOI:10.1038/s41591-018-0316-z] [ PMID] 14. Obermeyer Z, Emanuel EJ. Predicting the future - big data, machine learning, and clinical medicine. The New England Journal of Medicine 2021; 375(13): 1216-9. ## [ DOI:10.1056/NEJMp1606181] [ PMID] [ ] 15. Adams R. Ethics and law in healthcare data. New York, NY: Routledge. ISBN; 2002; 978- 9. ## 16. Smith J, Bruce A. The impact of technology on healthcare. Journal of Healthcare Technology 2018; 15(2): 25-30. ## 17. Taylor J. AI in healthcare: challenges and opportunities. Journal of AI in Medicine 2023; 10(1): 1-10. ## 18. Taylor J, Jones M. Reducing algorithmic bias in healthcare ai. Journal of Medical AI 2024; 11(3): 105-7. ## 19. Kandos J. Customer needs analysis. Journal of Marketing Research 1980; 17(3): 301-5. ## 20. Kim J. Patient trust in ai systems. Journal of Healthcare Technology 2020; 17(1): 1-8. ## 21. Smith J, Bruce A. The impact of technology on healthcare. Journal of Healthcare Technology 2028; 15(2): 25-30. ## 22. Johnson K. Ethical frameworks for ai in healthcare. Journal of Medical Ethics 2022; 48(10): 631-6. ## 23. Hall J. Strategic models for ai implementation. Journal of Healthcare Management 2025; 60(4): 251-8. ## 24. Lee S. Reducing algorithmic bias. Journal of AI Research 2019; 15(2): 12-20. ##
|
