Clinical Application of Large Language Models in Generating Pathologic Images

DALL·E 3 shows promise in generating customized pathologic images that can aid in education and resource expansion within pathology. However, ethical concerns, such as the potential misuse of AI-generated images for data falsification, highlight the need for responsible oversight. Collaboration between technology firms and pathologists is essential for the ethical integration of AI in pathology practices.

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Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2025-07-01
DOI
https://doi.org/10.1200/cci-24-00267
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
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article

Clinical Application of Large Language Models in Generating Pathologic Images

Borivoj Golijanin, Kenneth A. Iczkowski, Lingxuan Zhu, Kamil Malshy et al.
1 links
JCO Clinical Cancer Informatics
AI in cancer detection
article

Clinical Application of Large Language Models in Generating Pathologic Images

Borivoj Golijanin, Kenneth A. Iczkowski, Lingxuan Zhu, Kamil Malshy, Tao Yang, Sari Khaleel, Katrina Collins, Rodolfo Montironi, Xiang Ni, Elias Hyams, Alessia Cimadamore, Weiming Mou, Fei Chen, Rui Zhou, Liang Cheng, Rui Chen, He Huang, Yancheng Lai, Na Ta, Antonio López-Beltrán, Gyan Pareek, Dragan Golijanin
article en

Abstract

DALL·E 3 shows promise in generating customized pathologic images that can aid in education and resource expansion within pathology. However, ethical concerns, such as the potential misuse of AI-generated images for data falsification, highlight the need for responsible oversight. Collaboration between technology firms and pathologists is essential for the ethical integration of AI in pathology practices.

JCO Clinical Cancer InformaticsVol. 9(9)
Marche Polytechnic University (IT), University of Udine (IT), Second Military Medical University (CN), Shanghai Jiao Tong University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Brown University (US), Renji Hospital (CN), Miriam Hospital (US), Changhai Hospital (CN), Zhujiang Hospital (CN), Shanghai First People's Hospital (CN), Indiana University School of Medicine, University of Córdoba (ES), Indiana University – Purdue University Indianapolis (US), New York University (US), Southern Medical University (CN), University of California, Davis (US)
Openalex Percentile: Top 92%
AI in cancer detection
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