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Audio Interview

Artificial intelligence in guiding cancer treatment decisions

Published on February 27, 2025   17 min

A selection of talks on Oncology

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Interviwer: Dr. Eytan Ruppin, first of all, thank you very much for your time today. In recent years, you've been leading, together with your team at the NIH, different multi-disciplinary research projects that are focusing on AI and deep learning approaches for advancing precision oncology. In this interview, we would like to explore recent advancements in using AI in cancer imaging. To start, could you describe some of the current and emerging AI applications in cancer imaging and their impact on improving detection diagnosis and treatment outcomes in cancer? Prof. Ruppin: Thank you for having me. Absolutely. By and large, cancer imaging relates to two main modalities, radiology and pathology. Additionally, because of historical reasons, data availability, preparedness of clinician and so on, radiology has been quite ahead of pathology. The focus of my research and our discussion today will be on the role of AI in pathology, which has seen a recent exciting surge in interest and applications. I would say in just the last three, four years and there's a variety of applications that are now being studied in AI, in pathology. One of them is the classical task in pathology. That is, tumor classification. The pathologist's mission is, given a specimen under the microscope,

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Artificial intelligence in guiding cancer treatment decisions

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