Peter believes AI solutions are playing an increasingly large role in the health sector. “Exciting opportunities are ahead of us in Franklin.ai with our AI-powered diagnostic products. Simply put, you can think of these products as a ‘peer review’ on every single patient case.”
“You don’t have to look far to see that healthcare systems globally are under increasing pressure & in need of support. Intelligent AI-driven software solutions are part of the key to transforming access & quality of healthcare across a range of specialties.”
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“100% of cancer diagnoses require some form of laboratory pathology, cancer rates are on the rise and we have an increasing, ageing population.” For these reasons, Peter believes that there’s never been a more critical time to focus on smart solutions to support clinicians & patients.
“If we look at histopathology – the study of changes in tissue caused by disease – when there’s a suspected cancer or malignancy, a patient may receive a biopsy which will be sent to a lab and processed, placed onto slides and a doctor will analyse those slides. The benefit of comprehensive AI is that it can analyse a tissue sample not just for 1 or 2 abnormalities, but for an extensive range. That’s one of the key differences we’re looking to deliver with our AI solutions. To look broadly at a specimen or multiple specimens and share those insights with the doctor. It’s like a colleague giving you a second opinion on every case.”
His extensive experience launching world-class, scalable software solutions for patients and care providers globally has armed him with advanced skills in medical device product development. Peter explains what it takes to build an AI product in the health sector, “Coordination of a large number of independent puzzle pieces, layering on top of that a very large amount of training data. Curated data is what feeds complex and capable AI models.”
“We’re in the process of building a very large team with a number of diverse skill sets. There’s the AI component, an advanced algorithm capable of detecting differences in morphology.” Morphology is differences in shapes or patterns of cells across specimens.
“Then the front-end team,” Peter explains, “examine what the doctor is looking at when making a diagnosis. Is it intuitive? Does it seamlessly integrate with their workflows? The platform engineering team are working on the technology under the hood. How do we link the AI model to the front end that the doctor will work with on a daily basis? The clinical team review prototypes, provide feedback and make sure we’re progressing in the right direction to deliver a useful and meaningful product.”
There is one final key area of focus for the Franklin.ai team, “Once we’ve developed that software, we’ll clinically validate it to prove it’s highly accurate and ready for use with doctors and patients. Publishing that evidence in peer reviewed global publications demonstrates that we’re comprehensive, accurate, safe and ready for use in daily clinical practice.”
“The instant second opinion AI can deliver will provide a peace of mind for doctors and patients. There’s a huge opportunity in medicine to make an impact with technology and I think we’re only just scratching the surface.”
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