Session Theme

Artificial intelligence & Machine Learning are some of the key technologies spearheading the Fourth Industrial Revolution. It is bringing a paradigm shift to the medical field, powered by the increasing availability of medical data and rapid progress of analytics techniques. The major areas of applications include early detection and diagnosis, treatment, outcome prediction, and prognosis evaluation. AI/ML has truly moved from ‘hype’ and ‘hope’ to ‘results’ and ‘impact’ in its application for disease understanding and treatment.

This session of #herAIstory will explore, through an interactive discussion, how different applications of AI/ML plays a crucial role in the integration of multiple high-dimensional sources of data (which provides a different view on the disease) and the automated derivation of actionable insights.

Topics to be discussed include, but are not limited to:

Oversight: How AI/ML aids in better understanding of diseases? What’s the role of medical professionals and ML experts in advancing better healthcare delivery? What new AI/ML disease models / applications and systems are already available? What are the popular AI techniques for structured and unstructured data? What are the hurdles in real-life AI deployment?  What does the future hold? 

Case Study: Review a recent publication (that has been awarded the Servier Young Researcher Award at VAICON’21) on how AI/ML has been used to identify and quantify anatomical changes in advanced CVI that help clinicians in monitoring the progression of disease and response to treatment. With the joint collaboration by a team of doctors and RoundSqr’s ML experts, an algorithm has been built with more than 90% accuracy.

Let’s explore the vision, opportunities, challenges, and implications of the use of AI/ML in clinical practice…

Distinguished Speakers

Dr. Gnaneswar Atturu
Consultant Surgeon
Care Hospitals
Sirisha Peyyeti
Head – Consulting
Srinivas Atreya
Chief Data Scientist
Dr. Viswanath Atreyapurapu
Specialist Registrar
Care Hospitals
Malini Vyakaranam
Associate Data Scientist

Session Highlights

It may have looked a little different this time, but the 4th edition of #herAIstory was an altogether unique experience for all the 60-odd attendees. The transition to a virtual webinar saw a Global audience from varied backgrounds and experiences. We may have been physically apart, but we still shared an exciting evening of learning, socializing, and fun!

Up next, in the third Segment, it was Raju’s turn to walk us through the world of active learning – the why, what and how dimensions of it. He sprinkled some tough geeky ML on us, including the concept of Empirical Risk Minimization (ERM), Vapnik-Chervonenkis (VC) Theory, and Disagreement based Active Learning.

These concepts were developed further by Akhil, with a detailed explanation of the most commonly used active learning strategies and the challenges faced by teams in adopting it.

Following a brief Q&A session, Srinivas Atreya revisited some of the conventional wisdom in deep learning. He dug deeper into why disagreement based learning does not work in the deep neural network world. He highlighted some of the interesting developments in this area that will evolve rapidly over the next few years.

We hope you enjoyed going through the session recap! We have plenty more exciting webinars coming your way in the next few weeks, so keep an eye out on our social media channels for more information!

To get an email invite for every session of herAIstory, register here.

A BIG THANK YOU to all the speakers and guests. We are overwhelmed by the number of people that came, the selfless manner in which knowledge was shared, and how engaged everyone was.

We are humbled by the thought that we can make a difference to this world, however small that might be. Such support motivates us and makes our resolve stronger to invest more time in this event.

Do watch out for another edition in October…

#herAIstory – let us change the Industry, one woman at a time