Assessing the Performance of GPT-3.5 and GPT-4 on the 2023 Japanese Nursing Examination-Reference-Cited by-同舟云学术

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Assessing the Performance of GPT-3.5 and GPT-4 on the 2023 Japanese Nursing Examination

Published:2023-08-03 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Kaneda Yudai,Takahashi Ryo,Kaneda Uiri,Akashima Shiori,Okita Haruna,Misaki Sadaya,Yamashiro Akimi,Ozaki Akihiko,Tanimoto Tetsuya

Publisher

Springer Science and Business Media LLC

Subject

Aerospace Engineering

Reference27 articles.

1. Ten ways artificial intelligence will transform primary care;Lin SY;J Gen Intern Med,2019

2. Artificial intelligence in healthcare;Yu KH;Nat Biomed Eng,2018

3. Artificial Intelligence is changing health and eHealth care;Akshaya AVR;EAI Endorsed Trans Smart Cities,2022

4. Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer;Nagpal K;NPJ Digit Med,2019

5. A deep learning system for differential diagnosis of skin diseases;Liu Y;Nat Med,2020

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1. Analysis of Responses of GPT-4 V to the Japanese National Clinical Engineer Licensing Examination;Journal of Medical Systems;2024-09-11

2. ChatGPT in medicine: A cross-disciplinary systematic review of ChatGPT’s (artificial intelligence) role in research, clinical practice, education, and patient interaction;Medicine;2024-08-09

3. Potential of ChatGPT to Pass the Japanese Medical and Healthcare Professional National Licenses: A Literature Review;Cureus;2024-08-06

4. Performance of GPT-4 on Chinese Nursing Examination;Nurse Educator;2024-07-11

5. Comparative accuracy of ChatGPT-4, Microsoft Copilot and Google Gemini in the Italian entrance test for healthcare sciences degrees: a cross-sectional study;BMC Medical Education;2024-06-26

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