Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT

Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications’ popularity. The majority of AI-based applications i...

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Detalles Bibliográficos
Autor principal: Sedaghat, Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632240/
https://www.ncbi.nlm.nih.gov/pubmed/37332004
http://dx.doi.org/10.1007/s10439-023-03287-x
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author Sedaghat, Sam
author_facet Sedaghat, Sam
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description Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications’ popularity. The majority of AI-based applications in clinical practice are still far from simple-to-use applications with user-friendly interfaces. Therefore, simplifying operations is one key to AI-based medical applications’ success.
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spelling pubmed-106322402023-11-14 Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT Sedaghat, Sam Ann Biomed Eng Letter to the Editor Many artificial intelligence (AI) algorithms have been developed for medical practice, but few have led to clinically used products. The recent hype of ChatGPT shows us that simple, user-friendly interfaces are one major factor in the applications’ popularity. The majority of AI-based applications in clinical practice are still far from simple-to-use applications with user-friendly interfaces. Therefore, simplifying operations is one key to AI-based medical applications’ success. Springer International Publishing 2023-06-18 2023 /pmc/articles/PMC10632240/ /pubmed/37332004 http://dx.doi.org/10.1007/s10439-023-03287-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Letter to the Editor
Sedaghat, Sam
Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT
title Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT
title_full Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT
title_fullStr Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT
title_full_unstemmed Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT
title_short Success Through Simplicity: What Other Artificial Intelligence Applications in Medicine Should Learn from History and ChatGPT
title_sort success through simplicity: what other artificial intelligence applications in medicine should learn from history and chatgpt
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10632240/
https://www.ncbi.nlm.nih.gov/pubmed/37332004
http://dx.doi.org/10.1007/s10439-023-03287-x
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