Paper VII- Machine learning in Oncology: Update for clinicians

This is another interesting paper suggested by another follower- with whom I have the privilege of regular interaction.

The tweet appears here:

A related piece that also touches on the need for privacy/regulatory frameworks for #BigData/#AI. Lots to learn & lead.https://t.co/zAc553mLPj

Curious where we are now, & how we are moving it forward
c @jebibault @AnnCavoukian @DrJohnKang #RadOnc #DataEthics #PrivacyByDesign

— Ian Pereira (@IanJPereira) January 9, 2021

The paper can be downloaded from here.

I am embedding it here too. The usual disclaimers apply. Only the word summary can be downloaded. The purpose of the blog is educational and I don’t have any commercial interest in either distribution of the content or it’s display (I don’t earn any revenue from the blog).

[embeddoc url=”https://radoncnotescom.files.wordpress.com/2022/01/dafd6-cci.20.00049.pdf” download=”none” viewer=”google”]

The word summary appears below.

Knowledge Generated We describe topics in machine learning that are relevant to emerging applications for clinical oncology, as well as emerging challenges and considerations for its integration into clinical practice

Tweet

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