How ML Will Disrupt the Future of Clinical Radiology

The use of computer vision in radiology may have advantages for both patients and medical facilities. However, some worry that machine learning (ML) may one day replace doctors because it can outperform them.

The desire for increased efficiency and efficacy in clinical care has been the primary motivating reason behind the development of AI in medical imaging. Recent technological developments, particularly in machine learning, will alter radiology as we know it. And it goes beyond just reading images. 

The entire data pipeline, from placing an X-ray or MRI scan order to establishing a diagnosis, will be shaped by ML. The amount of radiological imaging data is still increasing more quickly than the number of qualified doctors. A logical question – can AI Radiology take the place of the radiologist – is raised with the active adoption of algorithms and models in radiology and computer vision services.