The future impact of Artificial Intelligence on Medical Imaging

The field of medicine has witnessed quite a few advancements in the past few years especially with the emergence of artificial intelligence. Medical imaging has been hugely impacted in terms of efficiency and accuracy so much so that initial scaremongering predicted that radiologists will be replaced by artificial intelligence (when the truth is AI will be invaluably complimentary to Radiologists reporting). Rest assured, artificial intelligence is set to change the scenario of advanced medical services much more in the coming years. Increased uptake, more algorithms and big data access will play a prominent role in sourcing and transforming medical imaging, including clinical trials imaging.

Impact of AI in diagnostic radiology
The ability of AI to turn large sets of complex imaging data coming from CT, NM/PET, MRI and X-rays will enable insightful opinion to the benefit of clinical radiology. AI coupled with DL algorithms will play a prominent role in medical imaging as it helps not only in extracting but also creating new features. This can lead to transformation in the field of radiology. It wouldn’t be wrong to say that a major part of the practice like image segmentation and lesion detection along with other systems are largely going to be automated.

DL and ML algorithms will be used to train the systems of radiology which will result in a state-of-the art infrastructure. Of course the training material involves incorporation of intrinsic aspects. Computer aided detection (CAD) in mammography is now combined with DL Convolutional Neural Network (CNN) algorithm to detect breast cancer lesions and this is progressive step in itself. 

All these and much more are awaited in the field of medical imaging in the coming years.


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