ChatGPT and medicine: a potential threat to science or a step towards the future?
Open accessAbstract
Abstract: Chat generative pre-trained transformer (ChatGPT), a large language model based on the GPT-3.5 architecture, has the potential to revolutionize the field of medicine. As a machine learning tool, ChatGPT has the ability to analyze vast amounts of medical data and provide clinicians with accurate and relevant information to improve patient care. One of the key advantages of ChatGPT is its ability to assist in evidence-based medicine, as it can analyze large datasets of clinical trials and other medical studies to help identify the most effective treatments for specific conditions. ChatGPT can also aid in medical education by providing a personalized learning experience for medical students and professionals. It can assist in answering clinical questions, providing quick access to medical knowledge, and assisting in diagnosis and treatment decisions. Furthermore, ChatGPT has the potential to improve patient outcomes by reducing diagnostic errors, improving treatment plans, and enhancing patient communication. These guidelines will serve as foundational pillars for ensuring that the integration of ChatGPT into medical practices remains safe, transparent, and serves the best interests of all stakeholders involved. In conclusion, ChatGPT has the potential to transform medicine by providing clinicians with advanced tools for data analysis, assisting in diagnosis and treatment decisions, and improving patient outcomes.
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- Authors
- Souza, L. L. D., Fonseca, F. P., Martins, M. D., de Almeida, O. P., Pontes, H. A. R., Coracin, F. L., Lopes, M. A., Khurram, S. A., Santos-Silva, A. R., Hagag, A., & Vargas, P. A.
- Affiliations
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Universidade Federal de Minas Gerais (BR)
- Universidade Federal do Rio Grande do Sul (BR)
- Hospital de Câncer de Barretos (BR)
- University of Sheffield (GB)
- Benha University (EG)
- Corresponding author
- Souza, Lucas Lacerda de
- ORCID
- Venue
- Journal of Medical Artificial Intelligence
- Publisher
- AME Publishing Company
- Published
- 2023-10
- Volume
- 6
- Pages
- 19-19
- ISSN
- 2617-2496 (ISSN-L)
- OpenAlex
- W4388156928
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 9 · 2023: 1
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- Journal of Medical Artificial Intelligence (publishedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
- Keywords
- ChatGPT, large language models, artificial intelligence in healthcare, evidence-based medicine, clinical decision support, medical education, medical question answering, diagnostic errors, patient communication, medical data analysis, clinical trials
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