One of the key targets Enlitic is focused on is early detection of lung cancer by combining biopsies along with existing medical data to be able to diagnose lung cancer earlier than with the traditional medical methods.

While based in San Francisco, Enlitic is present in Japan, Canada, Australia, and China.

AI is the buzzword startups are very keen on using when describing their products. We’ve been seeing ideas on what it could do in movies for decades. So what qualifies as AI? What are the dreams and what current reality around AI? How does AI look in practice?

Some of the questions addressed:

- What qualifies as AI? - What is the dream and what the current reality around AI? - How does AI look in practice? - How “seamless” is AI at the moment, how many developers does it require in Enlitic? - How is Enlitic incorporating a wide range of unstructured medical data, including radiology and pathology images, laboratory results such as blood tests and EKGs, genomics, patient histories, and electronic health records (EHRs) with deep learning technology?- How many pilot projects and how many customers is Enlitic working with? - How big is the gap between the public expectations of AI and it’s actual capabilities?