We've also put usability in focus by creating a solution that seamlessly integrates with the existing software, streamlining the radiologists' current workflow without requiring them to change their habits.

HCB News: Your deep learning solution currently has CE Mark and FDA approval is anticipated this year. What is the regulatory pathway like for artificial intelligence technology?


EW: We were pleasantly surprised by the regulatory agencies' embracement of AI and commitment to providing a supportive regulatory process which includes an open communication channel. In addition to the typical software assessment, the regulatory pathway set up for AI companies includes an empirical validation of the solution's capabilities.

HCB News: How do you foresee the tech Goliaths, (Apple, Amazon, Google, Facebook...) tapping into the vast potential for deep learning in radiology, if at all?

EW: Radiology is a multi-billion dollar market, so the financial incentive is there. We're definitely seeing early signs of the tech Goliaths exploring ways to enter the healthcare market, and rightly so. They realize that just like AI is disrupting so many other industries, it will help revolutionize healthcare as well. However, due to their cross-industry strategy and limited domain expertise in medical specialties, the tech Goliaths' will focus on infrastructural technologies applicable to the whole healthcare system such as cloud computing. That's good news for companies like ours as it will facilitate an even quicker adoption of AI solutions across the specific medical specialties with radiology being a central one.

HCB News: Aside from regulatory clearances, what kind of news can we expect from Aidoc in 2018?

EW: Aidoc expects 2018 to be the year in which the clinical adoption of our technology will prove once and for all that AI is a lot more than an intriguing concept, it's the most impactful technology to radiologists since the creation of digital imaging.

In February we launched the first AI-powered full-body solution for CT analysis to assist radiologists in identifying medical findings throughout the entire human body including the head, c-spine, chest and abdomen, extending the clinical value of AI in daily workloads with an imaging tool that that is not relatively specialized and limited in application.

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