Category: radiomics

Apr 05

NCI Requests Input on the Development of an Imaging Data Commons

By Stephen D Jett, Ph.D. AAAS Science & Technology Policy Fellow National Cancer Institute    In 2016, a Blue Ribbon Panel (BRP) was established, as part of the Beau Biden Cancer Moonshot, to make key recommendations that would support the Moonshot goals of accelerating progress in cancer research and breaking down barriers to developing new …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/nci-requests-input-development-imaging-data-commons/

Jan 17

Artificial Intelligence in Cancer Diagnostics and Prognostics: Radiologists in the Driver’s Seat

Hugo Aerts, Ph.D.Hugo Aerts, Ph.D.

By Hugo Aerts, Ph.D. Director, Computational Imaging and Bioinformatics Laboratory (CIBL) Associate Professor, Harvard University In the past year, the use of Artificial Intelligence (AI) in radiology, also called “radiomics,” has been getting a lot of attention, mainly because of the progress Deep Learning (DL) has made from a sub-human performance to performance that is …

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Permanent link to this article: https://ncip.nci.nih.gov/blog/artificial-intelligence-cancer-diagnostics-prognostics-radiologists-drivers-seat/