Improving PETCT using AI

Imagine a future where every PETCT scan delivers faster, sharper images and fewer diagnostic doubts or discrepancies – that is the potential transformative power of AI.

I won’t take you through what AI, or machine learning (ML), is; for that can I simply direct you to another RAD Magazine article entitled ‘AI in multimodality imaging’ by Richard Meades from August 2024. Also not covered here is anything specifically about algorithms for neuroPET, as a good review exists by Ayubcha et al in Nuclear Medicine Communications from September 2023. Nor, I must confess, will I be delving into the wider realms of AI in nuclear medicine applications, as my friend and colleague Dr E Panagiotides’s group reviewed that expertly in January 2024 (also in Nuclear Medicine Communications).

Instead, I want to focus on oncology/body PETCT and its developments and innovations, particularly here in the UK. For AI, please consider ‘computational assistance’ or related technology of any kind – as I think we need to destigmatise ourselves from the use of and hype around the term AI.

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