REFERENCES
1. AWS. What are large language models? Available from: https://aws.amazon.com/what-is/large-language-model/. [Last accessed on 30 Dec 2024].
2. Pinto Dos Santos D, Giese D, Brodehl S, et al. Medical students’ attitude towards artificial intelligence: a multicentre survey. Eur Radiol. 2019;29:1640-6.
3. Dave T, Athaluri SA, Singh S. ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations. Front Artif Intell. 2023;6:1169595.
4. Kavian JA, Wilkey HL, Patel PA, Boyd CJ. Harvesting the power of artificial intelligence for surgery: uses, implications, and ethical considerations. Am Surg. 2023;89:5102-4.
5. CDC. WISQARS - Web-based injury statistics query and reporting system. Available from: https://wisqars.cdc.gov/. [Last accessed on 30 Dec 2024].
6. Moye B. AAA: fear of self-driving cars on the rise. 2023. Available from: https://newsroom.aaa.com/2023/03/aaa-fear-of-self-driving-cars-on-the-rise/. [Last accessed on 30 Dec 2024].
7. Tyson A, Pasquini G, Spencer A, Funk C. 60% of Americans would be uncomfortable with provider relying on AI in their own health care. 2023. Available from: https://www.pewresearch.org/science/2023/02/22/60-of-americans-would-be-uncomfortable-with-provider-relying-on-ai-in-their-own-health-care/. [Last accessed on 30 Dec 2024].
8. Treger D, Jabori S, Boghosian T, et al. Revolutionizing medical education with ChatGPT-4: a decade-long insight from plastic surgery in-service exam performance. J Plast Reconstr Aes Forthcoming 2024.
9. Shahid R, Shoker M, Chu LM, Frehlick R, Ward H, Pahwa P. Impact of low health literacy on patients’ health outcomes: a multicenter cohort study. BMC Health Serv Res. 2022;22:1148.
10. Boyd CJ, Hemal K, Sorenson TJ, et al. Artificial intelligence as a triage tool during the perioperative period: pilot study of accuracy and accessibility for clinical application. Plast Reconstr Surg Glob Open. 2024;12:e5580.
11. Ayre J, Mac O, McCaffery K, et al. New frontiers in health literacy: using ChatGPT to simplify health information for people in the community. J Gen Intern Med. 2024;39:573-7.
12. Woolhandler S, Himmelstein DU. Administrative work consumes one-sixth of U.S. physicians’ working hours and lowers their career satisfaction. Int J Health Serv. 2014;44:635-42.
13. Chernew M, Mintz H. Administrative expenses in the US Health Care System: why so high? JAMA. 2021;326:1679-80.
14. Microsoft. Microsoft and Epic expand AI collaboration to accelerate generative AI’s impact in healthcare, addressing the industry’s most pressing needs. 2023. Available from: https://blogs.microsoft.com/blog/2023/08/22/microsoft-and-epic-expand-ai-collaboration-to-accelerate-generative-ais-impact-in-healthcare-addressing-the-industrys-most-pressing-needs/. [Last accessed on 30 Dec 2024].
15. Centers for Medicare & Medicaid Services. National health expenditure data: NHE fact sheet. Available from: https://www.cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data/nhe-fact-sheet. [Last accessed on 30 Dec 2024].
16. Morris L. Combating fraud in health care: an essential component of any cost containment strategy. Health Aff. 2009;28:1351-6.
17. Johnson JM, Khoshgoftaar TM. Data-centric AI for healthcare fraud detection. SN Comput Sci. 2023;4:389.
18. Shujaat S, Riaz M, Jacobs R. Synergy between artificial intelligence and precision medicine for computer-assisted oral and maxillofacial surgical planning. Clin Oral Investig. 2023;27:897-906.
19. Moglia A, Georgiou K, Georgiou E, Satava RM, Cuschieri A. A systematic review on artificial intelligence in robot-assisted surgery. Int J Surg. 2021;95:106151.
21. Fontaine D, Vielzeuf V, Genestier P, et al; DEFI study group. Artificial intelligence to evaluate postoperative pain based on facial expression recognition. Eur J Pain 2022;26:1282-91.
22. Maliha G, Gerke S, Cohen IG, Parikh RB. Artificial intelligence and liability in medicine: balancing safety and innovation. Milbank Q. 2021;99:629-47.
23. Goodman RS, Patrinely JR, Stone CA Jr, et al. Accuracy and reliability of chatbot responses to physician questions. JAMA Netw Open. 2023;6:e2336483.
24. David S. Text: H.R.206 - 118th Congress (2023-2024). Available from: https://www.congress.gov/bill/118th-congress/house-bill/206/text. [Last accessed on 30 Dec 2024].
25. Federal Register. Safe, secure, and trustworthy development and use of artificial intelligence. 2023. Available from: https://www.federalregister.gov/documents/2023/11/01/2023-24283/safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence. [Last accessed on 30 Dec 2024].
26. McDermott Will & Emery. CMS releases guidance on coverage criteria, utilization management, and use of AI. Available from: https://www.mwe.com/insights/cms-releases-guidance-on-coverage-criteria-utilization-management-and-use-of-ai/. [Last accessed on 30 Dec 2024].