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HCB News: Can you give a prediction as to how radiology will evolve in the next decade?
BB: Artificial intelligence will hopefully be closer incorporated into the daily radiological practice. Not only in the area of image interpretation, but also in the general workflow, clinical decision support and radiation protection.

I hope that it will support radiologists efficiently in coping with work overload and will make the whole healthcare system more rational and cost-effective. Radiologists need to adapt to changes and need to change their training, by including AI, bioinformatics, data management and molecular biology. We need to evolve into the role of a diagnostician who is able to integrate multiple sources of data with the help of artificial intelligence.

Since the role of the medical internist is changing through subspecialisation, radiology may take the role of integrated diagnostics, and we, therefore, need to carefully tailor education to the needs of general practice versus subspecialty radiology.

We will probably witness the development of interventional radiology into a more defined specialty with a curriculum differing from diagnostic radiology.

We need to closely liaise with pathology and probably develop combined training programs over time. Finally, value-based medicine will have repercussions on the way radiology is practiced. Innovations in quantitative imaging and AI will have to be concentrated around value in imaging.

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