Artificial intelligence promises to uproot the practice of medical imaging – traditionally thought to be expensive and highly expert-driven. Radiology industry juggernauts like General Electric, Nuance, and Partners HealthCare all teaming up with established AI players like Intel and NVidia. The innovations have advanced rapidly. Recently, AI has managed to achieve super-human accuracy in the detection of pneumonia on radiography.
More interestingly, some vendors are marketing FDA-approved AI to expedite stroke treatment and eliminating diagnostic delays. The definition of “delay?” Human radiologists taking time to read those head CTs.
So what’s a radiology practice to do?
What can we learn from other industries that have seen the arrival of large, untamable, data- and AI-powered competitors?
Amazon entering an industry is typically regarded as an extinction-level event. Amazon started with the Internet, then had Big Data, and now has AI – they’ve bet first, bet big, and bet right on all of the major tech trends.
But this story isn’t about Amazon; it’s about everybody else.
