As our global population continues to grow, health resources are becoming increasingly strained. In a future where doctors are in short supply, how can we build health systems that can deliver the care we need?
Kristian Hart-Hansen, CEO of LEO Innovation Lab, demonstrated how artificial intelligence could be the answer at this year’s Web Summit.
Traditional health systems are not sustainable
We are facing a crisis in healthcare. By 2035, the WHO predicts a global shortage of 13 million healthcare workers. Meanwhile, 1 in 3 adults worldwide is living with a chronic condition. They are in need of long term clinical support to manage their health, but there aren’t enough doctors to deliver this care. In fact, for half of the world’s population, primary care consultations last less than 5 minutes on average.
Dermatology is a particularly strained field. 1 in 4 people are living with a skin condition. Misdiagnosis rates are high, leaving most patients trapped in trial and error treatments, or in very long waiting periods to see a dermatologist. In some countries, the waiting period can be up to 6 months because there aren’t enough specialists to treat the 1 in 4 statistic.
In the UK, there are just 650 dermatologists for a population of 66 million people. In Germany, there are less than 6000 for a population 83 million.
The potential of AI
What if we could support the small amount of doctors we have with AI-powered technology?
What if we could improve the diagnostic accuracy of general practitioners and reduce the need for referrals?
What if we could free up more of your doctor’s time to focus more on you as the patient?
At LEO Innovation Lab, we have developed an AI-powered diagnosis platform, that can augment the diagnostic capabilities of general practitioners and dermatologists. It can diagnose skin conditions – accurately and quickly. This can empower a general practitioner to deliver the correct diagnosis faster, reducing the need for referrals. Furthermore, it can support dermatologists in consultation, freeing up more time to focus on the patient, and it can help create a health system interaction that is more efficient, more effective, and less stressful for the patient.
The model has been developed from an imaging database, collected from consenting patients all over the world. Every image used to train the model has been validated by a panel of expert dermatologists, facilitating that it can diagnose to the same degree of accuracy as an experienced specialist.
The diagnosis platform is not yet publicly available, but you can see how the it works in the video above when it was demonstrated by Kristian Hart-Hansen, CEO of LEO Innovation Lab, at Web Summit’s Corporate Innovation stage.
Web Summit is the leading annual technology conference in Europe, held in Lisbon, Portugal. Web Summit has over 70.000 participants gathering leaders from the biggest tech companies, most promising start-ups, policy makers, academics, investors, and journalists to discuss the latest tech trends. The conference sets the direction for tech in Europe and globally.
In November 2019, LEO Innovation Lab travelled to Web Summit as part of a delegation under Digital Hub Denmark to spotlight the best of Danish tech and innovation before a global audience.