Exploring the potential of <scp>AI</scp> ‐powered applications for clinical decision‐making in gynecologic oncology

GPT-4 is capable of processing complex patient cases and generates detailed treatment recommendations; however, differences persist in surgical approaches and the use of systemic therapies, and there is a tendency toward recommending excessive genetic testing. As AI-powered solutions continue to be integrated into medicine, we envision the potential for automated therapy recommendations to play a supportive role in human clinical decision-making in the future.

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Publication Details

Journal
International Journal of Gynecology & Obstetrics
Published
2025-06-13
DOI
https://doi.org/10.1002/ijgo.70251
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
1.96
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article

Exploring the potential of AI ‐powered applications for clinical decision‐making in gynecologic oncology

M Riedel, Caroline Riedel, Maliha Tariq, Georg Schmidt et al.
3 citations
International Journal of Gynecology & Obstetrics
Artificial Intelligence in Healthcare and Education
1.96
article

Exploring the potential of AI ‐powered applications for clinical decision‐making in gynecologic oncology

M Riedel, Caroline Riedel, Maliha Tariq, Georg Schmidt, Marion B. Kiechle, Fabian Riedel, Raphael Kfuri‐Rubens, Florian Recker, Bastian Meyer
article en
3 citations

Abstract

GPT-4 is capable of processing complex patient cases and generates detailed treatment recommendations; however, differences persist in surgical approaches and the use of systemic therapies, and there is a tendency toward recommending excessive genetic testing. As AI-powered solutions continue to be integrated into medicine, we envision the potential for automated therapy recommendations to play a supportive role in human clinical decision-making in the future.

International Journal of Gynecology & ObstetricsVol. 171(2)
Heidelberg University (DE), University Hospital Bonn (DE), University Hospital Heidelberg (DE), Helmholtz Zentrum München (DE), Technical University of Munich (DE)
Openalex Percentile: Top 11%
Artificial Intelligence in Healthcare and Education
1.96
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Exploring the potential of <scp>AI</scp> ‐powered applications for clinical decision‐making in gynecologic oncology — M Riedel, Caroline Riedel, et al. · International Journal of Gynecology & Obstetrics (2025) | TGRS Research Map | TGRS