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Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation Oncology
Journal article   Open access   Peer reviewed

Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics Ecosystem for Radiation Oncology

Danielle S Bitterman, Michael F Gensheimer, David Jaffray, Daniel A Pryma, Steve B Jiang, Olivier Morin, Jorge Barrios Ginart, Taman Upadhaya, Katherine A Vallis, John M Buatti, …
JCO clinical cancer informatics, Vol.7, e2300136
09/2023
DOI: 10.1200/CCI.23.00136
PMCID: PMC10703125
PMID: 38055914
url
https://doi.org/10.1200/CCI.23.00136View
Published (Version of record) Open Access

Abstract

In August 2022, the Cancer Informatics for Cancer Centers brought together cancer informatics leaders for its biannual symposium, Precision Medicine Applications in Radiation Oncology, co-chaired by Quynh-Thu Le, MD (Stanford University), and Walter J. Curran, MD (GenesisCare). Over the course of 3 days, presenters discussed a range of topics relevant to radiation oncology and the cancer informatics community more broadly, including biomarker development, decision support algorithms, novel imaging tools, theranostics, and artificial intelligence (AI) for the radiotherapy workflow. Since the symposium, there has been an impressive shift in the promise and potential for integration of AI in clinical care, accelerated in large part by major advances in generative AI. AI is now poised more than ever to revolutionize cancer care. Radiation oncology is a field that uses and generates a large amount of digital data and is therefore likely to be one of the first fields to be transformed by AI. As experts in the collection, management, and analysis of these data, the informatics community will take a leading role in ensuring that radiation oncology is prepared to take full advantage of these technological advances. In this report, we provide highlights from the symposium, which took place in Santa Barbara, California, from August 29 to 31, 2022. We discuss lessons learned from the symposium for data acquisition, management, representation, and sharing, and put these themes into context to prepare radiation oncology for the successful and safe integration of AI and informatics technologies.
Informatics Radiation Oncology Artificial Intelligence Ecosystem Humans Neoplasms - diagnosis Neoplasms - radiotherapy

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