Abstract
AbstractMany 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.
Funder
Universitätsklinikum Heidelberg
Publisher
Springer Science and Business Media LLC
Reference9 articles.
1. Zhu, S., M. Gilbert, I. Chetty, and F. Siddiqui. The 2021 landscape of FDA-approved artificial intelligence/machine learning-enabled medical devices: An analysis of the characteristics and intended use. International Journal of Medical Informatics.165:104828, 2022
2. Muehlematter, U. J., P. Daniore, and K. N. Vokinger. Approval of artificial intelligence and machine learning-based medical devices in the USA and Europe (2015–20): a comparative analysis. The Lancet. Digital Health. 3:e195–e203, 2021
3. Fersen O von. 100 Jahre Evolution. In: Fersen O von, ed. Ein Jahrhundert Automobiltechnik. Berlin, Heidelberg:10–63: Springer Berlin, 1986
4. Ford Motor Company. The Model T. https://corporate.ford.com/articles/history
5. Thacker C, McCreight E, Lampson B, Sproull R, Boggs D. Alto: A personal computer, 1981
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