MRI Scanning System for Hospital Enviroment

James Longbottom

With increased levels of pressure on healthcare and providing state of the art technology services to increase effectiveness of treatment, developing state of the art AI is essential.

Magnetic resonance Imaging (MRI) can be used to identify multiple diseases and injuries in the body, this AI powered system was aimed at identifying MS in adults by scanning the images produced by the MRI machine.

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Overview of system

Automated image upload from source – the system would pick up images from the source, automatically logging the patient ID and details to match the results to.

Ai computer vision system – this would instantly scan the system, using state of the art machine learning algorithms, trained from past diagnosis images. The system would analyse the images faster and with higher levels of accuracy than the existing doctors and staff that would usually do the review.

Report generation system – this front end based system would create a report for the doctor including all the information around the diagnosis, this explainable AI is essential in a healthcare setting.

Detailed report

The reports generated by the Ai were not only done instantly, but were more accurate and therefore more reliable. If, in any case, a referral was needed, it could instantly be sent to another doctor in the hospital with the ability to add notes to the report, generating a trail of information, which would safeguard against incorrect diagnosis. This allowed a often difficult part of a doctors job to be fully automated.