AI in Healthcare: How to Implement Medical Imaging Using Machine Learning

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About the webinar

According to a report “The Digital Universe Driving Data Growth in Healthcare,” published by EMC with research and analysis from IDC, Hospitals are producing 50 petabytes of data per year. Almost 90% of this data is comprised of medical imaging i.e. digital images from scans like MRIs or CTs. More than 97% of this data goes unanalyzed or unused.

Webinar on how to implement medical imaging

The top healthcare institutions across the globe are adopting AI in medical imaging to increase speed and imaging accuracy, monitor data in real-time and eliminate the need for humans to do time-consuming and complex tasks. This has been enabling doctors to optimize treatment approaches, speed of care and interconnected health conditions.

Through this webinar, we will understand how AI can be used to automate routine processes and procedures and help radiologists to identify patterns, and help in treating patients with critical conditions quickly.

What you will learn

How healthcare institutions are leveraging AI to augment decision making, prevent medical errors, and reduce costs in medical imaging

Discuss the approach to automate machine learning workflow, creating and deploying models in hours, not weeks or months

Demo: How to detect pneumonia from chest x-rays using AI within a few minutes using

Speaker(s) & Panelist(s):


Nisha Shoukath

Co-founder and COO at

COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.


Shruti Tanwar

Lead - Data Science

Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.


Bikash Sharma

Chief Technology Officer at

CTO & Software Architect with close to 15 years of experience whose passion lies in building great products while enabling others to perform their roles more effectively. Lead at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.