Levels of Autonomous Radiology
- URL: http://arxiv.org/abs/2112.07286v1
- Date: Tue, 14 Dec 2021 10:41:56 GMT
- Title: Levels of Autonomous Radiology
- Authors: Suraj Ghuwalewala, Viraj Kulkarni, Richa Pant, Amit Kharat
- Abstract summary: The development and adoption of Artificial Intelligence (AI) applications using medical data will lead to the next phase of evolution in radiology.
It will include automating laborious manual tasks such as annotations, report-generation, etc., along with the initial radiological assessment of cases to aid radiologists in their evaluation workflow.
We propose a level-wise classification for the progression of automation in radiology, explaining AI assistance at each level with corresponding challenges and solutions.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Radiology, being one of the younger disciplines of medicine with a history of
just over a century, has witnessed tremendous technological advancements and
has revolutionized the way we practice medicine today. In the last few decades,
medical imaging modalities have generated seismic amounts of medical data. The
development and adoption of Artificial Intelligence (AI) applications using
this data will lead to the next phase of evolution in radiology. It will
include automating laborious manual tasks such as annotations,
report-generation, etc., along with the initial radiological assessment of
cases to aid radiologists in their evaluation workflow. We propose a level-wise
classification for the progression of automation in radiology, explaining AI
assistance at each level with corresponding challenges and solutions. We hope
that such discussions can help us address the challenges in a structured way
and take the necessary steps to ensure the smooth adoption of new technologies
in radiology.
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