Medical Intelligence Group (MIG) is joining forces with the Glasgow University School of Mathematics and Statistics. The aim is to develop a cutting-edge approach to interpreting medical images using computer technology. This method will harness the capabilities of both 2D and 3D scans, similar to CT and MRI images, merging human insights with computer precision.
This collaboration has already shown promise in a project concerning Diabetic Foot Ulcers (DFUs), supported by A4I Innovate UK funding. Diabetes is a pressing health challenge, with over 4 million diabetics in the UK alone. A significant portion of them risk developing DFUs, of which 10% can lead to amputation. Alarmingly, half of those who undergo amputation due to DFUs face a life expectancy of just two years. With global diabetes numbers expected to reach 578 million by 2030, the need for solutions is urgent.
MIG's strategy includes three main components:
- A user-friendly tool enabling patients to monitor their health from home.
- A system engineered to identify ulcers at their earliest stage.
- An innovative AI system that forecasts potential health risks.
The advantages are manifold. Early interventions mean quicker recoveries, substantial cost savings for the NHS, and notably fewer surgeries. Most crucially, by detecting and treating issues sooner, the risk of amputations decreases, enhancing the quality of life for patients.
In sum, the partnership between MIG and Glasgow University signifies a leap towards smarter and more efficient healthcare solutions for those with diabetes.