The Transformative use of AI in Radiotherapy and beyond: Insights from Professor Raj Jena

The Transformative use of AI in Radiotherapy and beyond: Insights from Professor Raj Jena

Put simply, artificial Intelligence (AI) has the potential to transform healthcare. Effective use of emerging machine learning techniques can improve patient care, complement clinicians’ work and address a range of challenges. If used well and in the proper context, AI can enhance diagnostic processes, personalise treatment plans and efficiently manage healthcare data, all while freeing up clinicians’ time to focus on the direct human aspect of healthcare.Within this rapidly evolving technology landscape, the University of Cambridge has appointed the UK’s first clinical professor of AI in radiotherapy, signalling a need for, and a commitment to, utilising AI in the fight against cancer. Taking up this novel role is Professor Raj Jena, who is also a research scientist and consultant oncologist at Cambridge University Hospitals NHS Foundation Trust.

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Radiotherapy is an exemplar of the successful use of AI in healthcare, but Professor Jena hopes there will be a cross-fertilisation of technology, enabling AI to evolve and excel at interpreting non-image data as well. He believes AI can ‘make real inroads’ in diagnostics for the early detection of cancer. Early works suggest it could be used in tests that can look for cancer in urine, blood or even exhaled breath, for example.The tools could also play a role in personalising treatments for cancer patients since AI can look for patterns and simplify very high-dimensional data.


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