References
- Knoedler L, Miragall M, Kauke-Navarro M, et al. A ready-to-use grading tool for facial palsy examiners-automated grading system in facial palsy patients made easy. J Pers Med. 2022;12(10):1739. doi: 10.3390/jpm12101739
- Dimitriadis I, Zaninovic N, Badiola AC, et al. Artificial intelligence in the embryology laboratory: a review. Reprod Biomed Online. 2022;44(3):435–48. doi: 10.1016/j.rbmo.2021.11.003
- Sharma M, Savage C, Nair M, et al. Artificial intelligence applications in health care practice: scoping review. J Med Internet Res. 2022;24(10):e40238. doi: 10.2196/40238
- Zhao J, Wu M, Zhou L, et al. Cognitive psychology-based artificial intelligence review. Front Neurosci. 2022;16:1024316. doi: 10.3389/fnins.2022.1024316
- Ognjanovic I. Artificial intelligence in healthcare. Stud Health Technol Inform. 2020;274:189–205. doi: 10.3233/SHTI200677
- Altunisik E. Artificial intelligence and multiple sclerosis: ChatGPT model. Mult Scler Relat Disord. 2023;76:104851. doi: 10.1016/j.msard.2023.104851
- Yang X, Chen A, PourNejatian N, et al. A large language model for electronic health records. NPJ Digit Med. 2022;5(1):194.
- Shen Y, Heacock L, Elias J, et al. ChatGPT and other large language models are double-edged swords. Radiol Soc of N Am. 2023;307(2):e230163.
- Calixte R, Rivera A, Oridota O, et al. Social and demographic patterns of health-related internet use among adults in the United States: a secondary data analysis of the health information national trends survey. Int J Environ Res Public Health. 2020;17(18):6856. doi: 10.3390/ijerph17186856
- Huh S. Are ChatGPT’s knowledge and interpretation ability comparable to those of medical students in Korea for taking a parasitology examination? A descriptive study. J Educ Eval Health Prof. 2023;20:1. doi: 10.3352/jeehp.2023.20.01
- Hoch CC, Wollenberg B, Lüers JC, et al. ChatGPT’s quiz skills in different otolaryngology subspecialties: an analysis of 2576 single-choice and multiple-choice board certification preparation questions. Eur Arch Otorhinolaryngol. 2023;280(9):4271–4278. doi: 10.1007/s00405-023-08051-4
- Vayena E, Blasimme A, Cohen IG. Machine learning in medicine: addressing ethical challenges. PLOS Med. 2018;15(11):e1002689. doi: 10.1371/journal.pmed.1002689
- Rasmussen MLR, Larsen AC, Subhi Y, et al. Artificial intelligence-based ChatGPT chatbot responses for patient and parent questions on vernal keratoconjunctivitis [published online ahead of print, 2023 May 2]. Graefes Arch Clin Exp Ophthalmol. 2023;261(10):. doi: 10.1007/s00417-023-06078-1
- Samaan JS, Yeo YH, Rajeev N, et al. Assessing the accuracy of responses by the language Model ChatGPT to questions regarding bariatric surgery. Obes Surg. 2023;33(6):1790–1796. doi: 10.1007/s11695-023-06603-5
- Xie Y, Seth I, Hunter-Smith DJ, et al. Aesthetic surgery advice and counseling from artificial intelligence: a rhinoplasty consultation with ChatGPT. Aesthetic Plast Surg. 2023;1985–1993. [published online ahead of print, 2023 Apr 24].doi: 10.1007/s00266-023-03338-7.
- Yeo YH, Samaan JS, Ng WH, et al. Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma. Clin Mol Hepatol. 2023;29(3):721–732. doi: 10.3350/cmh.2023.0089
- Sinha RK, Deb Roy A, Kumar N, et al. Applicability of ChatGPT in assisting to solve higher order problems in pathology. Cureus. 2023;15:e35237. doi: 10.7759/cureus.35237
- Das D, Kumar N, Longjam L, et al. Assessing the capability of ChatGPT in answering first- and second-order knowledge questions on microbiology as per competency-based medical education curriculum. Cureus. 2023;15:e36034. doi: 10.7759/cureus.36034
- Juhi A, Pipil N, Santra S, et al. The capability of ChatGPT in predicting and explaining common drug-drug interactions. Cureus. 2023;15:e36272. doi: 10.7759/cureus.36272
- Boßelmann CM, Leu C, Lal D. Are AI language models such as ChatGPT ready to improve the care of individuals with epilepsy? Epilepsia. 2023;64(5):1195–1199. doi: 10.1111/epi.17570