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Automated Diagnosis & Prediction in Healthcare

“In the face of the Covid-19 outbreak, we have all woken up to the limitations of our analog health care system. It seems clear that we need an immediate digital revolution to face this crisis. In a very real sense, the spread of Covid-19 is a product of the digital and technological revolution that has transformed our world over the past century. Unlike the “Spanish flu” of 1918, which became an international epidemic over the course of a year, Covid-19 has spread to every inhabitable continent within weeks, outpacing our health system’s ability to test, track, and contain people with suspected infection.

To continue functioning, private companies and institutions of higher education have made an abrupt transition to remote videoconferencing and other digital solutions, while the healthcare system is still managing this crisis largely through risky brick-and-mortar visits.” (NEMJ)

In this talk, we present our ongoing work utilizing more than 60 billion historical medical visits to create an automated layer for digital healthcare.

We will discuss the NLP challenges with working with medical summaries in multiple languages, cultural differences, and the retrospective and prospective application of those systems for millions of people, the work with ministries of healthcare (US, India in Israel), and the insights discovered from applying those systems in practice.

Towards better than human clinical Named Entity Recognition

Named Entity Recognition (NER) is the key ingredient of any NLP system and it is regarded as the first building block of...