Johns Hopkins Research Symposium on Engineering in Healthcare

AI in Healthcare: From Bench to Bedside

November 25, 2019 | 8:30 am – 4:30 pm

Turner Auditorium at Johns Hopkins Hospital

Reception to follow

– A special thanks to the SWIRNOW FAMILY for their generous support of this event –

About the Symposium

The confluence of the increasing digitization of healthcare, rapid advances in machine learning, and the push for value-driven healthcare have focused attention on the potential for AI to transform healthcare,  similar to what we see in other information-driven elements of the economy. However, those in the practice of medicine know that the path to creating meaningful change at the bedside using AI technologies is far from simple. 

The goal of this symposium is to bring together institutional leaders, researchers, and clinicians to catalyze a multi-disciplinary conversation on the true potential for AI in healthcare and what is necessary to bring AI technologies from “the bench to the bedside.” In doing so, we hope to gain perspectives from leaders from around the country and identify a roadmap for putting AI to work to improve the quality of care for patients and providers alike.

 

*LIVE STREAM will be available here starting at 8:30 am on November 25. 

Expert Panels

Hear from thought leaders from academia and industry during our panel discussions.

Breakout Sessions

With breakout sessions, attendees have many opportunities to learn and collaborate throughout the symposium.

Networking Reception

Catch up with peers, and build new connections in the healthcare engineering field.

Exhibitor Registration

Throughout the event, your organization will have the opportunity to connect directly with institutional leaders, researchers, clinicians, and students working at the cutting-edge of artificial intelligence in healthcare. We invite you to use this exciting venue to raise awareness about your programs, products, and services.

Table Fee: $500 

The deadline for exhibitor registration is:
Monday, November 11, 2019

Interested in being an exhibitor? 
Fill out the Exhibit Registration Form 

Questions? 
Contact Catherine Graham at cgraha41@jhu.edu or
by phone at 410-516-6647

What you will receive:

Contact with 200+ attendees interested in engineering, artificial intelligence, and healthcare

One 5’ skirted table, with 2 chairs and access to electricity (please include any specific requests when registering)

Symposium registration for two representatives (includes a full continental breakfast, lunch, and networking reception)

Keynote: Maryellen Giger, PhD

Bringing AI in Breast Cancer Imaging from the Bench to the Bedside”

 

Maryellen Giger, Ph.D. is the A.N. Pritzker Professor of Radiology  and Medical Physics at the University of Chicago.  She has been working, for multiple decades, on computer-aided diagnosis/machine learning/deep learning in medical imaging and cancer diagnosis/management.  Her AI research in breast cancer for risk assessment, diagnosis, prognosis, and therapeutic response has yielded various translated components, and she is using these “virtual biopsies” in imaging-genomics association studies. 

Giger is a former president of AAPM and of SPIE; and is the Editor-in-Chief of the Journal of Medical Imaging.  She is a member of the NAE; Fellow of AAPM, AIMBE, SPIE, SBMR, IEEE, IAMBE; and was cofounder, equity holder, and scientific advisor of Quantitative Insights [now Qlarity Imaging], which produces QuantX, the first FDA-cleared, machine-learning driven CADx system.

Participants

Greg Hager

Director, Johns Hopkins Malone Center for Engineering in Healthcare

T.E. “Ed” Schlesinger

T.E. “Ed” Schlesinger, Benjamin T. Rome Dean, Johns Hopkins University, Whiting School of Engineering

Michael Miller

Bessie Darling Massey Professor and Director, Johns Hopkins Department of Biomedical Engineering

Paul Rothman

Frances Watt Baker, M.D., and Lenox D. Baker Jr., M.D., Dean of the Medical Faculty; vice president for medicine of The Johns Hopkins University; CEO of Johns Hopkins Medicine

Jeffrey Siewerdsen

John C. Malone Professor of Biomedical Engineering, Johns Hopkins University

Paul Yi

Co-Director of the Johns Hopkins Radiology and Artificial Intelligence Laboratory (RAIL)

Scott Zeger

John C. Malone Professor of Biostatistics, Johns Hopkins Bloomberg School of Public Health

Peter Chang

Assistant Professor-in-Residence and Co-Director of the Center for Artificial Intelligence in Diagnostic Medicine (CADIM), University of California, Irvine

Anthony Costa

Director of Sinai BioDesign and Chief Operating Officer for AISINAI, Icahn School of Medicine at Mount Sinai

Mark Dredze

John C. Malone Professor of Computer Science, Johns Hopkins Whiting School of Engineering

Alan Yuille

Bloomberg Distinguished Professor of Computer Science, Johns Hopkins Whiting School of Engineering

Woojin Kim

Chief Medical Information Officer at the Healthcare Division of Nuance Communications

“AI in Radiology: What You Need to Know”

David Sontag

Associate Professor of Electrical Engineering and Computer Science, MIT

Suchi Saria

John C. Malone Professor of Computer Science, Johns Hopkins University

Scott Levin

Associate Professor of Emergency Medicine, Johns Hopkins School of Medicine

Leo Grady

CEO of Paige.AI

Dorin Comaniciu

Senior Vice President of Artificial Intelligence and Digital Innovation at Siemens Healthcare

Camille Vidal

Director of Regulatory Affairs Strategy, Digital Health at GE Healthcare

Phillip Phan

Alonzo and Virginia Decker Professor of Strategy and Entrepreneurship, Johns Hopkins Carey Business School

Ferdinand Hui

Co-Director of the Johns Hopkins Radiology Artificial Intelligence Laboratory (RAIL)

Agenda

*Please note: schedule is subject to change

Time

Session

Speakers

Venue

8:00 - 8:30 am

Registration and Breakfast

Concourse

8:30 - 9:00 am

Opening Remarks

Gregory D Hager

Director, Johns Hopkins Malone Center for Engineering in Healthcare

Ed Schlesigner

Benjamin T. Rome Dean, Whiting School of Engineering, Johns Hopkins University

Michael Miller

Chair, Johns Hopkins Department of Biomedical Engineering

Paul Rothman

Dean and CEO, Johns Hopkins Medicine

Auditorium

9:00 - 9:40 am

Keynote: “Bringing AI in Breast Cancer Imaging from the Bench to the Bedside”

Introduction:

Jeffrey Siewerdsen, John C. Malone Professor of Biomedical Engineering

Maryellen Giger

A.N. Pritzker Professor of Radiology and Medical Physics at the University of Chicago.

Auditorium

9:45 - 11:00 am

Institutional Initiatives for AI in Healthcare: What, Why, How?

Moderator:

Paul Yi, Co-Director of the Johns Hopkins Radiology Artificial Intelligence Lab (RAIL)

Scott Zeger

John C. Malone Professor of Biostatistics, Johns Hopkins Bloomberg School of Public Health

Antony Costa

Director of Sinai BioDesign and Chief Operating Officer for AISINAI, Icahn School of Medicine at Mount Sinai​

Peter Chang

Co-Director, Center for Artificial Intelligence in Diagnostic Medicine at the University of California, Irvine

Auditorium

11:00 - 11:20 am

Break

Concourse

11:20 am - 12:30 pm

Technical Innovation in AI: Is Healthcare Different?

Moderator:

Mark Dredze, John C. Malone Associate Professor of Computer Science, Johns Hopkins University

Alan Yuille

Bloomberg Distinguished Professor of Computer Science, Johns Hopkins University

Woojin Kim

Chief Medical Information Officer at the Healthcare Division of Nuance Communications

David Sontag

Associate Professor of Electrical Engineering and Computer Science, MIT

Auditorium

12:30 - 1:30 pm

Lunch and Breakout Discussion

Concourse

1:30 - 2:40 pm

Bringing AI to the Bedside as a Commercial Venture: A New Paradigm?

Moderator:

Suchi Saria, John C. Malone Assistant Professor of Computer Science, Johns Hopkins University

Scott Levin

Associate Professor of Emergency Medicine, Johns Hopkins Medicine

Camille Vidal

Director of Regulatory Affairs Strategy, Digital Health at GE Healthcare

Leo Grady

Chief Executive Officer, Paige.AI

Dorin Comaniciu

Senior Vice President for Artificial Intelligence and Digital Innovation at Siemens Healthineers

Auditorium

2:40 - 3:00 pm

Break

Concourse

3:00 - 4:15 pm

AI Startups: What is the Right Model?

Moderator:

Phillip Phan, Alonzo and Virginia Decker Professor of Strategy and Entrepreneurship, Johns Hopkins Carey School of Business

Expert Panelists:

> Ferdinand Hui, Co-Director of the Johns Hopkins Radiology Artificial Intelligence Lab (RAIL)
> Vas Bailey, Artis Ventures
> Edgar Simard, Medtronic

Pistevo
Cupid Chan 

GRAIL
Haris Sair 

LINKSciences 
Frank Chen

Insilco Medicine
Qingsong Zhu 

Deeplook
Greg Belanger 

BMETS-DSP
Sara Alcorn

OWKIN
Julia Hall

Auditorium

4:15 - 4:30 pm

Closing Remarks

Gregory D Hager

Director, Johns Hopkins Malone Center for Engineering in Healthcare

Auditorium

4:30 - 6:00 pm

Reception and Exhibition Hall

Concourse

Turner Auditorium
Johns Hopkins Hospital

720 Rutland Ave
Baltimore, MD 21250

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