Medical AI in 2020: Europe lags behind, Covid-19 steams ahead
21 July 2020
Medical artificial intelligence (AI) and machine learning (ML), much like almost every other facet of modern technology, have been drastically sidetracked by Covid-19. Just as manufacturers of automobiles and electronics have pivoted to ventilators and personal protective equipment (PPE), medical AI projects across the world have shifted their focus on to the pandemic in 2020.
AI and ML technology is now being used to narrow down potential Covid-19 drug candidates, predict the seasonal spread of the infection across populations and even attempt to diagnose the disease from chest X-rays and computed tomography (CT) scans when conventional tests are in short supply.
As for the long-term impact of the pandemic on medical AI, according to a recent MarketsandMarkets report the global healthcare AI market is actually projected to keep growing in 2020 despite the pandemic’s disruption of the world economy. Not only that, but it’s predicted to grow at quite a significant scale, rising from being worth $4.9bn this year to $45.2bn by 2026, at a compound annual growth rate of 44.9%.
Far from hindering progress in this particular area, Covid-19 has been identified as a factor driving this growth, with adoption of AI and ML by multiple pharmaceutical companies trying to expedite vaccine or drug development processes giving the industry a fairly significant boost.
Covid-19 doesn’t mean AI has ground to a standstill
This Covid-19 shift for the AI industry doesn’t mean all projects in other areas have ground to a standstill either: the University of Sydney has been awarded more than $7m in federal funding for research projects using AI to diagnose and treat neurological and mental health disorders; researchers at Oregon Health & Science University recently published research into an AI-driven method to help people with type 1 diabetes better manage their glucose levels; and Elucid Bio, a company that offers AI-powered software designed to predict the occurrence of stroke, has now demonstrated that its algorithm is 70% more accurate than conventional stroke monitoring at predicting events.
Elucid Bio’s technology is currently in clinical use and may have applications for informing risk for Covid-19 patients, who have been experiencing strokes at a significantly higher rate. The software can identify endothelial damage, a subtle but potentially deadly effect of Covid-19 that can cause the blood clotting that leads to stroke.
Elucid Bio CEO Blake Richards said: “I think the impact that I’ve seen the most is that Covid-19 has pushed forward the more rapid adoption of some newer technologies that wouldn’t necessarily have been given that kind of urgency. It has accelerated what would have occurred organically over a longer timeframe.”
Published by Verdict Medical Devices on July 8, 2020
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