Large Language Models in Hematology Case Solving: A Comparative Study of ChatGPT-3.5, Google Bard, and Microsoft Bing-Reference-Cited by-同舟云学术

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Large Language Models in Hematology Case Solving: A Comparative Study of ChatGPT-3.5, Google Bard, and Microsoft Bing

Published:2023-08-21 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Kumari Amita,Kumari Anita,Singh Amita,Singh Sanjeet K,Juhi Ayesha,Dhanvijay Anup Kumar D,Pinjar Mohammed Jaffer,Mondal Himel

Publisher

Springer Science and Business Media LLC

Subject

Aerospace Engineering

Reference16 articles.

1. Hematology and machine learning;Obstfeld AE;J Appl Lab Med,2023

2. Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: bibliometric study on PubMed;Wang J;J Med Internet Res,2020

3. Analysing the applicability of ChatGPT, Bard, and Bing to generate reasoning-based multiple-choice questions in medical physiology;Agarwal M;Cureus,2023

4. ChatGPT and the clinical informatics board examination: the end of unproctored maintenance of certification?;Kumah-Crystal Y;J Am Med Inform Assoc,2023

5. Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models;Kung TH;PLOS Digit Health,2023

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1. Exploring the role of Large Language Models in haematology: A focused review of applications, benefits and limitations;British Journal of Haematology;2024-09-03

2. Prospect of large language models and natural language processing for lung cancer diagnosis: A systematic review;Expert Systems;2024-08-15

3. A comparison of the diagnostic ability of large language models in challenging clinical cases;Frontiers in Artificial Intelligence;2024-08-05

4. Generative artificial intelligence in healthcare: A scoping review on benefits, challenges and applications;International Journal of Medical Informatics;2024-08

5. Reshaping free-text radiology notes into structured reports with generative question answering transformers;Artificial Intelligence in Medicine;2024-08

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