Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information.

Chakraborty, C ; Bhattacharya, M ; et al.

In: Annals of biomedical engineering, Jg. 52 (2024-02-01), Heft 2, S. 134-135

Online editorialOpinion

Zugriff:

Recently, the interest in AI-guided ChatGPT has increased day-to-day, and different applications have been explored, including the medical field. The publication number is also increasing. At the same time, people are trying to get medical information from this Chartbot. However, researchers found that ChatGPT also provides partly correct or false information. Therefore, in this article, we urge the researchers to develop an AI-enabled, next-generation, advanced ChatGPT or large language models (LLMs) so that people can get accurate and error-free medical information.

Titel:	Need an AI-Enabled, Next-Generation, Advanced ChatGPT or Large Language Models (LLMs) for Error-Free and Accurate Medical Information.
Autor/in / Beteiligte Person:	Chakraborty, C ; Bhattacharya, M ; Lee, SS
Link:	View record at Springer (Volltext)
Zeitschrift:	Annals of biomedical engineering, Jg. 52 (2024-02-01), Heft 2, S. 134-135
Veröffentlichung:	2005- : New York : Springer Science + Business Media ; <i>Original Publication</i>: New York, Academic Press., 2024
Medientyp:	editorialOpinion
ISSN:	1573-9686 (electronic)
DOI:	10.1007/s10439-023-03297-9
Schlagwort:	Humans Language Artificial Intelligence
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Letter Language: English [Ann Biomed Eng] 2024 Feb; Vol. 52 (2), pp. 134-135. <i>Date of Electronic Publication: </i>2023 Jun 27. MeSH Terms: Language* ; Artificial Intelligence* ; Humans References: Lu, Y., et al., Artificial intelligence in intensive care medicine: toward a ChatGPT/GPT-4 way? Ann. Biomed. Eng., 2023. ; Editors. Will ChatGPT transform healthcare? Nat. Med. 29(3):505–506, 2023. (PMID: 10.1038/s41591-023-02289-5) ; Arora, A. The promise of large language models in health care. Lancet. 401(10377):641, 2023. (PMID: 10.1016/S0140-6736(23)00216-736841609) ; Yang, X., et al. A large language model for electronic health records. NPJ Digit. Med. 5(1):194, 2022. (PMID: 10.1038/s41746-022-00742-2365727669792464) ; Kuehn, B. M. More than one-third of US individuals use the Internet to self-diagnose. JAMA. 309(8):756–757, 2013. (PMID: 10.1001/jama.2013.62923443421) ; Hochberg, I., R. Allon, and E. Yom-Tov. Assessment of the frequency of online searches for symptoms before diagnosis: analysis of archival data. J Med. Internet Res. 22(3):e15065, 2020. (PMID: 10.2196/15065321418357084283) ; AlMuammar, S. A., et al. The use of internet and social media for health information and its consequences among the population in Saudi Arabia. Cureus. 13(9):e18338, 2021. (PMID: 347220898551798) ; Morath, B., et al., Performance and risks of ChatGPT used in drug information: an exploratory real-world analysis. Eur J Hosp Pharm, 2023. https://doi.org/10.1136/ejhpharm-2023-003750. (PMID: 10.1136/ejhpharm-2023-00375037263772) Contributed Indexing: Keywords: AI; ChatGPT; Large language models; Medical information Entry Date(s): Date Created: 20230627 Date Completed: 20240125 Latest Revision: 20240125 Update Code: 20240125

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