Clinical Trial Imaging

Imaging AI

What is the value of incidental findings in your imaging data? What could AI pick up that you are not even looking for? Are you sitting on a golden nugget waiting for it to be discovered? Our expert team can help.

The combination of our reader experts and AI reading technology through our dedicated imaging platform is the perfect way to accelerate your imaging research and clinical trials.

We integrate with leading AI solutions that are specific to your needs and help you deploy these solutions in an efficient, compliant manner using our experience as the top provider of medical imaging services for clinical trials covering all medical imaging modalities and therapeutic areas.

Demands for greater numbers of images at faster speeds and with increased accuracy, without a significant increase in the number of reporters globally, is putting a strain on clinical trials, and the pharmaceutical companies and CROs who run them.

With the need for data accuracy and quality to be improved, the benefits of introducing Imaging AI are clear. AI can reduce variability in imaging endpoints, enhance the reliability of those endpoints for use in statistical models of efficacy and safety, and reduce the cost of providing quantitative endpoints for a trial.

Timing is crucial in the fast-paced world of clinical trials, with competition pushing to get their candidates in front of regulators before you. With improved data accuracy and quality comes the ability for companies to present cleaner, more consistent data to regulatory authorities, improving your chances of trial success and approval.

Integrating AI into your trial can greatly improve outcomes while saving you money

Benefits of Imaging AI

1

Cost Reduction

When introducing AI as an alternative, taking the place of one of the reads in a typical 2+1 model, you can reduce the required resources that can often be prohibitive, particularly with any significant volumes and timepoints.
2

Improved Accuracy

Leverage AI technology to improve the accuracy of your readings. When introduced as further layer on top as a 3rd (or 4th) read, the accuracy rate can increase above 97/98%. Single-read clinical radiology accuracy rates are generally thought to be 85%. The introduction of a second reader and adjudicator can raise that up to 95%. AI can ensure the highest accuracy possible.
3

Increased Data Collection

The introduction of AI can produce more structured outcomes and assist with incident findings, when the objective of the trial is to collect as much qualitative and quantitative data as possible.

Why Choice Health for Imaging AI?

Our consultants have worked as AI leads on two of the biggest PACS projects in UK/Europe (as AI and innovation leads) and as assessors on NHSX AI LAb initiatives. We understand the questions you have about potential AI solutions and can expertly assist with providing answers.

AI leads on large PACS projects

Assessors on NHSX AI LAb initiatives

"Choice Health clearly have the expertise to support and expand study feasibility by providing the specialist image analysis. They were also invaluable in helping us secure grant funding."

COO Aidence

"Choice have been invaluable in providing expert specialist opinion in the most complex remote medical cases in a timely and responsive manor"

International SOS Regional Medical DirectorEurope, Middle East & Africa

Everyone should have a choice to access world leading healthcare specialists, no matter where you are.

Frequently Asked Questions

How does Imaging AI save me money with a clinical trial?

Clinical trial scans are routinely reviewed by 2 readers with often a 3rd for adjudication (2+1 model). Collectively these resources can be costly particularly with any significant volumes and timepoints. One potential way to save on cost is to introduce AI to perform one of the reads. Hence the first reader is AI at a cost reduction, the second reader is still a radiologist.

How accurate is Imaging AI?

Single read clinical radiology accuracy rates are generally thought to be approximately 85%. The introduction of a second reader and adjudicator can raise that figure up to 95% in clinical trials. The potential of AI is also to introduce a further layer on top as a 3rd (or 4th) read, hence pushing the accuracy rate up further above 97/98%.

What type of data can I expect with Imaging AI?

Imaging AI helps you collect more data. If the objective of the trial is to collect as much qualitative and quantitative data as possible, the introduction of AI can produce more structured outcomes and assist with incident findings.

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