Prompt-Driven Data Analysis Using Generative AI: The Potential and Limitations of No-Code Machine Learning in Medical Research

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Publication Details

Journal
The Journal of Japanese College of Angiology
Published
2026-05-09
DOI
https://doi.org/10.7133/jca.25-00032
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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article

Prompt-Driven Data Analysis Using Generative AI: The Potential and Limitations of No-Code Machine Learning in Medical Research

Masayasu Nishibe, Shoji Fukuda, Toshiya Nishibe, Tsuyoshi Iwasa et al.
The Journal of Japanese College of Angiology
Machine Learning in Healthcare
article

Prompt-Driven Data Analysis Using Generative AI: The Potential and Limitations of No-Code Machine Learning in Medical Research

Masayasu Nishibe, Shoji Fukuda, Toshiya Nishibe, Tsuyoshi Iwasa, Tomohiro Nakajima, Kenichi Kato, Jun Koizumi
article en

Abstract

No abstract available for this paper.
The Journal of Japanese College of AngiologyVol. 66(4)
Sapporo Medical University (JP), Tokyo Medical University (JP), Hokkaido Information University (JP), Chiba University (JP), University School (US)
Openalex Percentile: Top 4%
Machine Learning in Healthcare
DOIOpen Access PDFOpenAlex
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