Skip to main content
Top

22-09-2023 | Artificial Intelligence

Exploring the Ethical, Legal, and Social Implications of ChatGPT in Urology

Authors: Kinju Adhikari, Nithesh Naik, BM Zeeshan Hameed, S. K. Raghunath, Bhaskar K. Somani

Published in: Current Urology Reports

Login to get access

Abstract

Purpose of the Review

ChatGPT is programmed to generate responses based on pattern recognition. With this vast popularity and exponential growth, the question arises of moral issues, security and legitimacy. In this review article, we aim to analyze the ethical and legal implications of using ChatGPT in Urology and explore potential solutions addressing these concerns.

Recent Findings

There are many potential applications of ChatGPT in urology, and the extent to which it might improve healthcare may cause a profound shift in the way we deliver our services to patients and the overall healthcare system. This encompasses diagnosis and treatment planning, clinical workflow, patient education, augmenting consultations, and urological research. The ethical and legal considerations include patient autonomy and informed consent, privacy and confidentiality, bias and fairness, human oversight and accountability, trust and transparency, liability and malpractice, intellectual property rights, and regulatory framework.

Summary

The application of ChatGPT in urology has shown great potential to improve patient care and assist urologists in various aspects of clinical practice, research, and education. Complying with data security and privacy regulations, and ensuring human oversight and accountability are some potential solutions to these legal and ethical concerns. Overall, the benefits and risks of using ChatGPT in urology must be weighed carefully, and a cautious approach must be taken to ensure that its use aligns with human values and advances patient care ethically and responsibly.
Literature
1.
go back to reference Radford A, et al. Improving language understanding by generative pre-training . 2018. Radford A, et al. Improving language understanding by generative pre-training . 2018.
2.
go back to reference Biswas SS. Role of chat gpt in public health . Ann Biomed Eng. 2023;1–2. Biswas SS. Role of chat gpt in public health . Ann Biomed Eng. 2023;1–2.
3.
go back to reference Gabrielson AT, Odisho AY, Canes D. Harnessing generative artificial intelligence to improve efficiency among urologists: Welcome ChatGPT. Wolters Kluwer Philadelphia, PA. 2023;827–829. Gabrielson AT, Odisho AY, Canes D. Harnessing generative artificial intelligence to improve efficiency among urologists: Welcome ChatGPT. Wolters Kluwer Philadelphia, PA. 2023;827–829.
4.
go back to reference Sallam M, 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. 2023;15(2). Sallam M, 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. 2023;15(2).
5.
go back to reference Shen Y, et al. ChatGPT and other large language models are double-edged swords. Radiol Soc North Am. 2023;e230163. Shen Y, et al. ChatGPT and other large language models are double-edged swords. Radiol Soc North Am. 2023;e230163.
6.
go back to reference Zhu L, Mou W, Chen R. Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge? J Transl Med. 2023;21(1):1–4. CrossRef Zhu L, Mou W, Chen R. Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge? J Transl Med. 2023;21(1):1–4. CrossRef
7.
go back to reference Li J, et al. ChatGPT in healthcare: a taxonomy and systematic review . medRxiv. 2023; 2023–03. Li J, et al. ChatGPT in healthcare: a taxonomy and systematic review . medRxiv. 2023; 2023–03.
8.
go back to reference Snoswell CL, et al. Artificial intelligence: augmenting telehealth with large language models . J Telemed Telecare, 2023;1357633X231169055. Snoswell CL, et al. Artificial intelligence: augmenting telehealth with large language models . J Telemed Telecare, 2023;1357633X231169055.
9.
go back to reference Dahmen J, et al. Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double-edged sword. Springer. 2023;1–3. Dahmen J, et al. Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double-edged sword. Springer. 2023;1–3.
10.
11.
go back to reference Liebrenz M, et al. Generating scholarly content with ChatGPT: ethical challenges for medical publishing. The Lancet Digital Health. 2023;5(3):e105–6. CrossRefPubMed Liebrenz M, et al. Generating scholarly content with ChatGPT: ethical challenges for medical publishing. The Lancet Digital Health. 2023;5(3):e105–6. CrossRefPubMed
13.
go back to reference Mavrogenis AF, Quaile A, Scarlat MM. The good, the bad and the rude peer-review. Springer. 2020;413–415. Mavrogenis AF, Quaile A, Scarlat MM. The good, the bad and the rude peer-review. Springer. 2020;413–415.
14.
go back to reference Margalida A, Colomer MÀ. Improving the peer-review process and editorial quality: key errors escaping the review and editorial process in top scientific journals. PeerJ. 2016;4: e1670. CrossRefPubMedPubMedCentral Margalida A, Colomer MÀ. Improving the peer-review process and editorial quality: key errors escaping the review and editorial process in top scientific journals. PeerJ. 2016;4: e1670. CrossRefPubMedPubMedCentral
15.
go back to reference Kostick-Quenet KM, Gerke S. AI in the hands of imperfect users . npj Digital Med. 2022;5(1):197. Kostick-Quenet KM, Gerke S. AI in the hands of imperfect users . npj Digital Med. 2022;5(1):197.
17.
go back to reference Biswas S. ChatGPT and the future of medical writing. Radiol Soc North Am. 2023;e223312. Biswas S. ChatGPT and the future of medical writing. Radiol Soc North Am. 2023;e223312.
18.
go back to reference Stokel-Walker C. ChatGPT listed as author on research papers: many scientists disapprove. Nature. 2023;613(7945):620–1. CrossRefPubMed Stokel-Walker C. ChatGPT listed as author on research papers: many scientists disapprove. Nature. 2023;613(7945):620–1. CrossRefPubMed
19.
go back to reference Ethical guidelines for application of Artificial Intelligence in Biomedical Research and Healthcare 2023, I.C.o.M. Research Editor. Indian Counc Med Res. 2023. Ethical guidelines for application of Artificial Intelligence in Biomedical Research and Healthcare 2023, I.C.o.M. Research Editor. Indian Counc Med Res. 2023.
20.
go back to reference • Naik N, et al. Legal and ethical consideration in artificial intelligence in healthcare: who takes responsibility? Front Surg. 2022;266. This review article addresses issues regarding privacy, protection and algorithmic transparency with the use of Artificial Intelligence. • Naik N, et al. Legal and ethical consideration in artificial intelligence in healthcare: who takes responsibility? Front Surg. 2022;266. This review article addresses issues regarding privacy, protection and algorithmic transparency with the use of Artificial Intelligence.
21.
go back to reference • de Hond AA, et al. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review . NPJ Digital Med. 2022;5(1):2. In this scoping review the authors look at AI-based prediction model (AIMP) using a 6-phase approach. • de Hond AA, et al. Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review . NPJ Digital Med. 2022;5(1):2. In this scoping review the authors look at AI-based prediction model (AIMP) using a 6-phase approach.
22.
go back to reference Krarup T, Horst M. European artificial intelligence policy as digital single market making. Big Data & Society. 2023 Jan;10(1):20539517231153811 Krarup T, Horst M. European artificial intelligence policy as digital single market making. Big Data & Society. 2023 Jan;10(1):20539517231153811
23.
go back to reference Helberger N, Diakopoulos N. ChatGPT and the AI Act . Internet Policy Rev. 2023;12(1). Helberger N, Diakopoulos N. ChatGPT and the AI Act . Internet Policy Rev. 2023;12(1).
24.
go back to reference Stokel-Walker C, Van Noorden R. What ChatGPT and generative AI mean for science. Nature. 2023;614(7947):214–6. CrossRefPubMed Stokel-Walker C, Van Noorden R. What ChatGPT and generative AI mean for science. Nature. 2023;614(7947):214–6. CrossRefPubMed
25.
go back to reference De Angelis L, et al. ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health. Front Public Health. 2023;11:1567. CrossRef De Angelis L, et al. ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health. Front Public Health. 2023;11:1567. CrossRef
26.
go back to reference Zielinski C, et al. Chatbots, ChatGPT, and Scholarly Manuscripts-WAME recommendations on ChatGPT and Chatbots in relation to Scholarly Publications. Afro-Egyptian Journal of Infectious and Endemic Diseases. 2023;13(1):75–9. Zielinski C, et al. Chatbots, ChatGPT, and Scholarly Manuscripts-WAME recommendations on ChatGPT and Chatbots in relation to Scholarly Publications. Afro-Egyptian Journal of Infectious and Endemic Diseases. 2023;13(1):75–9.
27.
go back to reference Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. in Healthcare. 2023. MDPI. Sallam M. ChatGPT utility in healthcare education, research, and practice: systematic review on the promising perspectives and valid concerns. in Healthcare. 2023. MDPI.
28.
go back to reference Marchandot B, et al. ChatGPT: the next frontier in academic writing for cardiologists or a pandora’s box of ethical dilemmas . Eur Heart J Open. 2023;3(2):oead007. Marchandot B, et al. ChatGPT: the next frontier in academic writing for cardiologists or a pandora’s box of ethical dilemmas . Eur Heart J Open. 2023;3(2):oead007.
29.
go back to reference Polonsky MJ, Rotman JD. Should Artificial Intelligent Agents be Your Co-author? Arguments in Favour, Informed by ChatGPT. SAGE Publications Sage UK: London, England. 2023;14413582231167882. Polonsky MJ, Rotman JD. Should Artificial Intelligent Agents be Your Co-author? Arguments in Favour, Informed by ChatGPT. SAGE Publications Sage UK: London, England. 2023;14413582231167882.
30.
go back to reference Ahn C. Exploring ChatGPT for information of cardiopulmonary resuscitation . Resuscitation. 2023;185. Ahn C. Exploring ChatGPT for information of cardiopulmonary resuscitation . Resuscitation. 2023;185.
31.
go back to reference Hallsworth JE, et al. Scientific novelty beyond the experiment . Microbial Biotechnol. 2023. Hallsworth JE, et al. Scientific novelty beyond the experiment . Microbial Biotechnol. 2023.
32.
go back to reference Kitamura FC. ChatGPT is shaping the future of medical writing but still requires human judgment. Radiol Soc North Am. 2023;e230171. Kitamura FC. ChatGPT is shaping the future of medical writing but still requires human judgment. Radiol Soc North Am. 2023;e230171.
33.
go back to reference Lin Z. Why and how to embrace AI such as ChatGPT in your academic life . 2023. Lin Z. Why and how to embrace AI such as ChatGPT in your academic life . 2023.
34.
go back to reference Fijačko N, et al. Can ChatGPT pass the life support exams without entering the American heart association course? Resuscitation. 2023;185. Fijačko N, et al. Can ChatGPT pass the life support exams without entering the American heart association course? Resuscitation. 2023;185.
35.
go back to reference • Kung T, et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit Health. 2023;2(2): e0000198. The results of this paper suggest that large language models could assist with medical education and clinical decision-making. CrossRefPubMedPubMedCentral • Kung T, et al. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language models. PLOS Digit Health. 2023;2(2): e0000198. The results of this paper suggest that large language models could assist with medical education and clinical decision-making. CrossRefPubMedPubMedCentral
Metadata
Title
Exploring the Ethical, Legal, and Social Implications of ChatGPT in Urology
Authors
Kinju Adhikari
Nithesh Naik
BM Zeeshan Hameed
S. K. Raghunath
Bhaskar K. Somani
Publication date
22-09-2023
Publisher
Springer US
Published in
Current Urology Reports
Print ISSN: 1527-2737
Electronic ISSN: 1534-6285
DOI
https://doi.org/10.1007/s11934-023-01185-2