Abstract: What you’ll learn?
Traumatic brain injury (TBI) is a major cause of death and disability in the United States. An estimated 2.8 million people sustain a TBI annually contributing to a third (30%) of all injury-related deaths in the United States which translates to nearly 153 people in the United States dying from injuries that include TBI every day.
Johns Hopkins University BIOS Division partnered with Google Cloud and Quantiphi to create a machine learning solution to enable faster and more accurate decision-making for brain injury patients by leveraging CT scans to predict the presence of ICH in TBI cases with over 93% accuracy. This is currently being used in JHU R&D and clinical trials and has led to an accelerated generation of insights from scans of approximately 500 patients cutting down decision-making time from 2,500 hours to 90 minutes.
In this talk, we will hear from Quantiphi’s Sanjay Patil, Senior Client Solution Partner, Applied AI, US North-East, on how they:
Accelerated Research and Clinical Trials
Simplified technology to enable clinicians to detect hemorrhage accurately and administer non-invasive treatment
Implemented Google’s ‘Healthcare API’ into Medical Imaging Diagnostics
Productionalized the solution while scaling to multiple trial sites and remote locations on edge devices
Unlocked the technology potential of using the abundance of Imaging data for research & diagnosis for CT scans
Bio: Sanjay Patil is the senior client solutions partner at Quantiphi and leads the Google Cloud business for US North-East. His passion and expertise in Data and AI/ML solutions drive Sanjay to build transformation roadmaps for customers and help them harness the power of data and the cloud.
Prior to Quantiphi, he worked with CVS Health as a Business Analyst, supporting the GM/Seasonal Business Unit in analyzing sales data and building seasonal budgets. Sanjay holds a Master’s in Marketing Analytics from Graduate school at Bentley University, an MBA in Marketing, and a Graduate Certificate in Business Analytics.
Sanjay is an avid reader and continuous learner who enjoys discussions on AI/ML, cloud technology, leadership, and career coaching.