Liang Cheng, Vice Chair for Translational Research at Warren Alpert Medical School and President of the International Society of Urologic Pathology, recently posted on LinkedIn about a breakthrough published on July 2, 2025, in JCO Clinical Cancer Informatics. The study, led by Drs. Zhu and Chen, focuses on the role of AI applications in pathology, specifically using DALL.E 3 to generate realistic images of rare pathologic subtypes often missing from current datasets. This innovation aims to enrich AI pathology diagnostic models, enhancing their ability to recognize uncommon pathologies, ultimately leading to improved pathology training and education tools. Cheng emphasized the importance of addressing the ethical challenges posed by realistic AI-generated images in medicine. He advocates for collaboration between academic institutions and industry to ensure responsible use of these advancing technologies. For more insights, read the full article at JCO Clinical Cancer Informatics.
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