Radiomics with artificial intelligence: a practical guide for beginners
Please take some time to read this article. Radiomics with artificial intelligence: a practical guide for beginners.
Applying AI in Radiomics can help doctors handle a massive amount of data compared with the traditional statistical methods. The primary purpose of AI research in radiomics is to extract and analyze as much meaningful hidden quantitative data as possible to be used in decision support.
There are three goals on this paper. First, to familiarize radiologists with radiomics and AI; second, to encourage the radiologists to get involved in these ever-developing fields; and, third, to provide a set of recommendations for good practice in design and assessment of future works.
We would like you to notice the “Critical questions and answers” part on the research:
- Why do we need radiomics?
- Why do we need AI in radiomics?
- Is it possible to get involved in radiomics as a radiologist?
- Is it possible to get involved in AI as a radiologist?
- What about the future of radiologists considering the advances in AI?
Would you be able to interpret the answer in your own words?
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