Page 111 - AIH-1-4
P. 111
Artificial Intelligence in Health ChatGPT in visceral leishmaniasis diagnosis
pandemic era. Trans R Soc Trop Med Hyg. 2023;117(2):67-71. 21. Hirosawa T, Harada Y, Yokose M, Sakamoto T, Kawamura R,
Shimizu T. Diagnostic accuracy of differential-diagnosis lists
doi: 10.1093/trstmh/trac100
generated by Generative Pretrained Transformer 3 chatbot
11. Rahim S, Sharif MM, Amin MR, Rahman MT, for clinical vignettes with common chief complaints: A pilot
Karim MM. Real time PCR-based diagnosis of human study. Int J Environ Res Public Health. 2023;20(4):3378.
visceral leishmaniasis using urine samples. PLOS Glob
Public Health. 2022;2(12):e0000834. doi: 10.3390/ijerph20043378
22. Mizuta K, Hirosawa T, Harada Y, Shimizu T. Can ChatGPT-4
doi: 10.1371/journal.pgph.0000834
evaluate whether a differential diagnosis list contains the
12. Chappuis F, Sundar S, Hailu A, et al. Visceral leishmaniasis: correct diagnosis as accurately as a physician? Diagnosis
What are the needs for diagnosis, treatment and control? (Berl). 2024;11(3):321-324.
Nat Rev Microbiol. 2007;5(11):873-882.
doi: 10.1515/dx-2024-0027
doi: 10.1038/nrmicro1748
23. Ouyang L, Wu J, Jiang X, et al. Training Language Models to
13. Cavalcanti MP, Barros De Lorena VM, Gomes YD. Follow Instructions with Human Feedback. ArXiv; 2022.
Biotechnological advances for the diagnosis of infectious
and parasitic diseases. J Trop Pathol. 2008;37(1):1-14. doi: 10.48550/arXiv.2203.02155
24. Johnson D, Goodman R, Patrinely J, et al. Assessing
doi: 10.5216/rpt.v37i1.4026
the accuracy and reliability of AI-generated medical
14. Makau-Barasa LK, Ochol D, Yotebieng KA, Adera CB, De responses: An evaluation of the Chat-GPT model. Res Sq.
Souza DK. Moving from control to elimination of Visceral 2023:rs.3.rs-2566942.
Leishmaniasis in East Africa. Front Trop Dis. 2022;3:965609.
doi: 10.21203/rs.3.rs-2566942/v1
doi: 10.3389/fitd.2022.965609
25. Shahsavar Y, Choudhury A. User Intentions to use ChatGPT
15. Mumtaz U, Ahmed A, Mumtaz S. LLMs-healthcare: for self-diagnosis and health-related purposes: Cross-
Current applications and challenges of large language sectional survey study. JMIR Hum Factors. 2023;10:e47564.
models in various medical specialties. Artif Intell Health.
2024;1(2):16-28. doi: 10.2196/47564
26. Ueda D, Walston SL, Matsumoto T, Deguchi R, Tatekawa H,
doi: 10.36922/aih.2558
Miki Y. Evaluating GPT-4-based ChatGPT’s clinical potential
16. Sukeda I, Suzuki M, Sakaji H, Kodera S. Development and on the NEJM quiz. BMC Digital Health. 2024;2(1):4.
analysis of medical instruction-tuning for Japanese large
language models. Artif Intell Health. 2024;1(2):107-116. doi: 10.1186/S44247-023-00058-5
27. Cheng K, Li Z, He Y, et al. Potential Use of artificial
doi: 10.36922/aih.2695
intelligence in infectious disease: Take chatGPT as an
17. Meral G, Ateş S, Günay S, Öztürk A, Kuşdoğan M. example. Ann Biomed Eng. 2023;51(6):1130-1135.
Comparative analysis of ChatGPT, Gemini and emergency
medicine specialist in ESI triage assessment. Am J Emerg doi: 10.1007/s10439-023- 03203-3
Med. 2024;81:146-150. 28. Giannos P. Evaluating the limits of AI in medical
specialisation: ChatGPT’s performance on the UK
doi: 10.1016/j.ajem.2024.05.001
neurology specialty certificate examination. BMJ Neurol
18. Chavez MR, Butler TS, Rekawek P, Heo H, Kinzler WL. Chat Open. 2023;5(1):e000451.
generative pre-trained transformer: Why we should embrace
this technology. Am J Obstet Gynecol. 2023;228(6):706-711. doi: 10.1136/bmjno-2023-000451
29. Cheng K, Guo Q, He Y, et al. Artificial intelligence in sports
doi: 10.1016/j.ajog.2023.03.010
medicine: Could GPT-4 make human doctors obsolete? Ann
19. Vaswani A, Shazeer N, Parmar N, et al. Attention is all You Biomed Eng. 2023;51(8):1658-1662.
Need. ArXiv; 2017.
doi: 10.1007/s10439- 023-03213-1
doi: 10.48550/arXiv.1706.03762
30. Biswas S. ChatGPT and the future of medical writing.
20. Li N, Liu S, Liu Y, Zhao S, Liu M. Neural Speech Synthesis Radiology. 2023;307(2):e223312.
with Transformer Network. 33 AAAI Conference on
rd
Artificial Intelligence, AAAI 2019, 31 Innovative Applications doi: 10.1148/radiol.223312
st
of Artificial Intelligence Conference, IAAI 2019 and the 31. Heng JJ, Teo DB, Tan LF. The impact of chat generative
9 AAAI Symposium on Educational Advances in Artificial pre-trained transformer (ChatGPT) on medical education.
th
Intelligence, EAAI 2019; 2018. p. 6706-6713. Postgrad Med J. 2023;99(1176):1125-1127.
doi: 10.1609/aaai.v33i01.33016706 doi: 10.1093/postmj/qgad058
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