AI Helps Radiology Staff Shortage

Imperial College creates AI model to augment skills and expertise

01

Scans, X-rays Classification

70% Scans and X-rays classified as ‘normal’ and not needing further investigation.

02

Workload Increase

30% Radiologists’ workload in reading and interpreting scans has increased

03

Cost Savings

£116M cost savings of the outsource scans to the private sector or increase overtime on staff

04

Identified Bottlenecks

AI Vision allows the creation of powerful AI models by labelling images acc to their specialist domain

L3C ML/DL CLOUD BASED

Imperial College AI Model

Radiology is suffering one of the biggest staff shortages in the NHS which is causing patient delays and increasing costs. However AI can alleviate this problem by augmenting the specialist skills of radiologists.

90% Accuracy within Half Hour

What we are trying to do with IBM and L3C is just augment the radiologist workflow to optimize it to allow them to function at the best level. You can essentially take a dataset of 60,000 images and train an algorithm with high accuracy above 90% within half an hour!

Dr Shah Islam
Clinical Research Fellow and Neuroradiology Fellow Division of Brain Sciences at Imperial College

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