Exploring Medical Breakthroughs: A Systematic Review of ChatGPT Applications in Healthcare

Fatima Muftić, Merjem Kadunić, Almina Mušinbegović, Ali Abd Almisreb

Abstract


ChatGPT, a large language model developed by OpenAI, has emerged as a powerful tool in the field of medicine. In this systematic review, we explore the potential of ChatGPT in various medical applications by analyzing articles related to medicine and healthcare. We carefully examined the methodologies, results, and conclusions of these articles to provide a comprehensive overview of the current evidence on the use of ChatGPT in the field of medicine. Through this review, we highlight how ChatGPT has been utilized to streamline and simplify complex tasks, improve patient care, enhance clinical decision-making, and facilitate communication among healthcare professionals. We also discuss the challenges and limitations of using ChatGPT in medicine, including concerns related to privacy, ethical considerations, and potential biases. Despite these challenges, ChatGPT has shown great promise in transforming the landscape of medicine and has the potential to revolutionize healthcare delivery. By synthesizing the findings from these articles, we aim to provide a critical and evidence-based evaluation of the current state of ChatGPT in medicine, and to identify areas for further research and development.

Keywords


ChatGPT;Artificial intelligence; Natural language processing; Systematic review; Medicine

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References


R. Ali et al., “Performance of ChatGPT and GPT-4 on Neurosurgery Written Board Examinations”, doi: 10.1101/2023.03.25.23287743.

R. K. Sinha, A. Deb Roy, N. Kumar, and H. Mondal, “Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology,” Cureus, Feb. 2023, doi: 10.7759/cureus.35237.

J. Homolak, “Opportunities and risks of ChatGPT in medicine, science, and academic publishing: a modern Promethean dilemma,” Croat Med J, vol. 64, no. 1, 2023.

J. Li, A. Dada, J. Kleesiek, and J. Egger, “ChatGPT in Healthcare: A Taxonomy and Systematic Review,” 2023, doi: 10.1101/2023.03.30.23287899.

S. Huh, “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, vol. 20, p. 1, Jan. 2023, doi: 10.3352/jeehp.2023.20.1.

K. Jeblick et al., “ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports,” Dec. 2022, [Online]. Available: http://arxiv.org/abs/2212.14882

D. Johnson et al., “Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model,” 2023, doi: 10.21203/rs.3.rs-2566942/v1.

T. Hirosawa, Y. Harada, M. Yokose, T. Sakamoto, R. Kawamura, and T. Shimizu, “Diagnostic Accuracy of Differential-Diagnosis Lists Generated by Generative Pretrained Transformer 3 Chatbot for Clinical Vignettes with Common Chief Complaints: A Pilot Study,” Int J Environ Res Public Health, vol. 20, no. 4, Feb. 2023, doi: 10.3390/ijerph20043378.

Y. Hui Yeo et al., “Assessing the performance of ChatGPT in answering questions regarding cirrhosis and hepatocellular carcinoma.” [Online]. Available: https://orcid.org/0000-0002-4608-6896

K. Bhattacharya, A. S. Bhattacharya, N. Bhattacharya, V. D. Yagnik, P. Garg, and S. Kumar, “ChatGPT in Surgical Practice—a New Kid on the Block,” Indian Journal of Surgery. Springer, 2023. doi: 10.1007/s12262-023-03727-x.

Ö. Cite ; Aydin and E. Karaarslan, “OpenAI ChatGPT interprets Radiological Images: GPT-4 as a Medical Doctor for a Fast Check-Up Enhancing Security In RFID View project Blockchain-based Secure Systems View project Enis Karaarslan Mugla Üniversitesi as a Medical Doctor for a Fast Check-Up OpenAI ChatGPT interprets Radiological Images: GPT-4 as a Medical Doctor for a Fast Check-Up Enis KARAARSLAN,” APA, 2023. [Online]. Available: https://www.researchgate.net/publication/369744392

T. H. Kung et al., “Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models,” PLOS Digital Health, vol. 2, no. 2, p. e0000198, Feb. 2023, doi: 10.1371/journal.pdig.0000198.

A. Thurzo, M. Strunga, R. Urban, J. Surovková, and K. I. Afrashtehfar, “Impact of Artificial Intelligence on Dental Education: A Review and Guide for Curriculum Update,” Education Sciences, vol. 13, no. 2. MDPI, Feb. 01, 2023. doi: 10.3390/educsci13020150.

I. L. Alberts et al., “Large language models (LLM) and ChatGPT: what will the impact on nuclear medicine be?,” European Journal of Nuclear Medicine and Molecular Imaging. Springer Science and Business Media Deutschland GmbH, 2023. doi: 10.1007/s00259-023-06172-w.

J. M. Drazen et al., “Chatbot for Medicine,” 2023.

J. Dahmen et al., “Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double-edged sword,” Knee Surgery, Sports Traumatology, Arthroscopy. Springer Science and Business Media Deutschland GmbH, Apr. 01, 2023. doi: 10.1007/s00167-023-07355-6.

C. Baumgartner, “The opportunities and pitfalls of ChatGPT in clinical and translational medicine,” Clin Transl Med, vol. 13, no. 3, Mar. 2023, doi: 10.1002/ctm2.1206.

I. S. Abdullah, A. Loganathan, and R. W. Lee, “ChatGPT & Doctors: The Medical Dream Team,” Health Sciences Commons. [Online]. Available: https://hsrc.himmelfarb.gwu.edu/smhs_URGENT_Matters

I. Dergaa, K. Chamari, P. Zmijewski, and H. Ben Saad, “From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing,” Biol Sport, 2023, doi: 10.5114/biolsport.2023.125623.

O. Temsah et al., “Overview of Early ChatGPT’s Presence in Medical Literature: Insights From a Hybrid Literature Review by ChatGPT and Human Experts.,” Cureus, vol. 15, no. 4, p. e37281, Apr. 2023, doi: 10.7759/cureus.37281.

J. Kasai, Y. Kasai, K. Sakaguchi, Y. Yamada, and D. Radev, “Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations,” Mar. 2023, [Online]. Available: http://arxiv.org/abs/2303.18027

H. Nori, N. King, S. M. McKinney, D. Carignan, and E. Horvitz, “Capabilities of GPT-4 on Medical Challenge Problems,” Mar. 2023, [Online]. Available: http://arxiv.org/abs/2303.13375

B. Nógrádi et al., “ChatGPT M.D.: Is there any room for generative AI in neurology and other medical areas?” [Online]. Available: https://ssrn.com/abstract=4372965

A. Gilson et al., “How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment,” JMIR Med Educ, vol. 9, 2023, doi: 10.2196/45312.

M. Sallam et al., “ChatGPT Output Regarding Compulsory Vaccination and COVID-19 Vaccine Conspiracy: A Descriptive Study at the Outset of a Paradigm Shift in Online Search for Information,” Cureus, Feb. 2023, doi: 10.7759/cureus.35029.

L. C. Adams et al., “Leveraging GPT-4 for Post Hoc Transformation of Free-Text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study Article type: Original Research.” [Online]. Available: https://github.com/kbressem/gpt4-structured-reporting.

F. Antaki, S. Touma, D. Milad, J. El-Khoury, and R. Duval, “Evaluating the Performance of ChatGPT in Ophthalmology: An Analysis of its Successes and Shortcomings,” medRxiv, 2023.

D. Das 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, Mar. 2023, doi: 10.7759/cureus.36034.

M. Giunti, F. Giulia Garavaglia, R. Giuntini, S. Pinna, and G. Sergioli, “CHATGPT PROSPECTIVE STUDENT AT MEDICAL SCHOOL.” [Online]. Available: https://ssrn.com/abstract=4378743

A. Lahat, E. Shachar, B. Avidan, Z. Shatz, B. S. Glicksberg, and E. Klang, “Evaluating the use of large language model in identifying top research questions in gastroenterology,” Sci Rep, vol. 13, no. 1, p. 4164, Mar. 2023, doi: 10.1038/s41598-023-31412-2.

A. Ghosh and A. Bir, “Evaluating ChatGPT’s Ability to Solve Higher-Order Questions on the Competency-Based Medical Education Curriculum in Medical Biochemistry,” Cureus, Apr. 2023, doi: 10.7759/cureus.37023.

A. Liberati et al., “The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.,” BMJ, vol. 339, 2009, doi: 10.1136/bmj.b2700.

C. M. da C. Santos, C. A. de M. Pimenta, and M. R. C. Nobre, “The PICO strategy for the research question construction and evidence search,” Rev Lat Am Enfermagem, vol. 15, no. 3, 2007, doi: 10.1590/s0104-11692007000300023.




DOI: http://dx.doi.org/10.21533/scjournal.v12i1.252

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Copyright (c) 2023 Fatima Muftić

ISSN 2233 -1859

Digital Object Identifier DOI: 10.21533/scjournal

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