The State of Deep Learning in Healthcare

Abstract:

The healthcare industry is deeply rooted in innovation. Data, technologies, and artificial intelligence (AI) algorithms create breakthrough products that diagnose, treat, and prevent disease. However, the rate at which AI can improve healthcare depends on how quickly the industry and healthcare leaders embrace it.

This transformation is most apparent in medical imaging, where deep learning is dominating the research presented at conferences such as the Medical Image Computing and Computer Assisted Intervention Society (MICCAI), the international society for optics and photonics (SPIE) and IEEE International Symposium on Biomedical Imaging (ISBI).

Our first speaker Rory Kelleher, will address how NVIDIA is fueling the deep learning revolution and is providing tools that enable AI leaders to translate innovation into value within the healthcare ecosystem.

Our second speaker Colin Compas, will delve into how deep learning is changing healthcare, namely, how these new capabilities have the ability to augment radiologists in the clinic, and will provide an update on the latest platforms commonly used for deep learning in medical imaging.

Our third speaker Bernardo Bizzo, will talk about how clinical problems are being translated into deep learning-empowered products and integrated into the clinical workflow.

Bios:

Rory Kelleher is the Regional Manager for NVIDIA’s Enterprise business in New England. As a member of NVIDIA’s World Wide Field Operations, he’s responsible for driving the company’s growth and alignment with strategic business partners across the Northeast. With nearly 10years experience in enterprise technology, he partners with thought leaders at world class organizations to help companies transform the way in which they build and deliver healthcare, financial, and technology products and services.

Colin Compas, Ph.D., is a Senior Solutions Architect at NVIDIA focusing on deep learning solutions for healthcare. His background is in medical image analysis where he has worked to develop automated methods for anomaly detection in clinical decision support. Prior to joining NVIDIA, Colin worked to bring cognitive solutions to radiologists and cardiologists as a part of IBM Research. His work at IBM was incorporated into the first products launched through IBM Watson Health Imaging. Colin received his Ph.D. in biomedical engineering from Yale University focusing on quantification of cardiac function in echocardiography. His work has resulted in over 25 journal and conference publications.

Bernardo Bizzo, MD, MSc, is a radiologist by training, with a master’s degree in Neuroradiology from the Federal University of Rio de Janeiro. He joined MGH Radiology department and Martinos Center as a Research Fellow, being part of several research and clinical projects including a system for point-of-care clinical decision support tools integrated into the radiologist reporting environment referred to as the computer-assisted reporting and decision support (CAR/DS) framework. He recently joined MGH & BWH Center for Clinical Data Science as an Innovation Fellow, leading healthcare machine learning projects that aim to empower clinicians and enhance outcomes.

Sponsors and Acknowledgments:

Special thanks to Nataljia Ulemek from Rakuten

http://rakuten.careers (http://rakuten.careers/) for hosting this meetup

and to NVIDIA http://www.nvidia.com/ for providing Pizza and drinks!

https://secure.meetupstatic.com/photos/event/5/2/9/8/600_449901144.jpeg

https://secure.meetupstatic.com/photos/event/d/d/3/9/600_464876633.jpeg

Directions to Rakuten:

https://secure.meetupstatic.com/photos/event/d/9/f/4/600_464875796.jpeg

https://secure.meetupstatic.com/photos/event/d/a/0/4/600_464875812.jpeg