The Fifth Elephant 2017

On data engineering and application of ML in diverse domains

How We Built Our Machine Intelligence To Help Humans Save Lives

Submitted by Zainul Charbiwala (@zainulcharbiwala) on Saturday, 22 July 2017

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Technical level

Beginner

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Full talk for Data in Government track

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Confirmed & Scheduled

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Abstract

7.2 million people die of heart disease every year. 50% of these lives can be saved if heart attacks can be diagnosed quickly and treatment coordinated within the golden hour. Diagnosing heart disease requires a simple test called an ECG, unfortunately, interpreting the ECG accurately requires a specialist. But, how do we put the skills of a cardiologist in every corner of the globe ? How do we equip a GP in India or a nurse in sub-Saharan Africa or a medical attendant in Buenos Aires to be able to help diagnose a heart attack and start treatment ?

Tricog provides real time cardiac diagnosis amplifying the work of few doctors to reach out to all patients worldwide. We’ve built specialised AI powered algorithms to help our resident doctors with the diagnosis, which is then sent back to the remote centre, thus enabling a doctor or a health care worker in any remote location diagnose and initiate treatment for heart disease, thus saving lives.

This talk will discuss how we’ve built our systems to bridge the divide between machine intelligence and human expertise so that they work together as a team to provide this “Cardiology as a Service” at scale, accurately and quickly.

Outline

7.2 million people die of heart disease every year. 50% of these lives can be saved if heart attacks can be diagnosed quickly and treatment coordinated within the golden hour. Diagnosing heart disease requires a simple test called an ECG, unfortunately, interpreting the ECG accurately requires a specialist. But, how do we put the skills of a cardiologist in every corner of the globe ? How do we equip a GP in India or a nurse in sub-Saharan Africa or a medical attendant in Buenos Aires to be able to help diagnose a heart attack and start treatment ?

Tricog provides real time cardiac diagnosis amplifying the work of few doctors to reach out to all patients worldwide. We’ve built specialised AI powered algorithms to help our resident doctors with the diagnosis, which is then sent back to the remote centre, thus enabling a doctor or a health care worker in any remote location diagnose and initiate treatment for heart disease, thus saving lives.

This talk will discuss how we’ve built our systems to bridge the divide between machine intelligence and human expertise so that they work together as a team to provide this “Cardiology as a Service” at scale, accurately and quickly.

Speaker bio

Zainul Charbiwala is a co-founder and the CTO at Tricog Health. He’s been building embedded systems, creating and managing teams and developing software for over 15 years. He is interested in the overlap of connected devices and machine intelligence to revolutionise and reinvent healthcare. He holds a Master’s degree from IIT Bombay and a PhD from University of California, Los Angeles. Before Tricog, Zainul was a Research Staff Member and Research Manager in the Smarter Planet Solutions group at IBM Research, India. Zainul has 7 patents and over 30 refereed publications.

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