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Date(s) - 01/18/2018 - 01/19/2018
7:45 am - 5:30 pm

The Harvard Club



January 18, 2018: Day One

7:45 – 8:45     

Continental Breakfast and Conference Registration

8:45 – 9:00   

Chairperson’s Opening Remarks             

9:00 – 9:50   

KEYNOTE PANEL: Exploring the State of the Industry—Present & Future of AI in Healthcare

Discover what AI solutions are being used currently in hospitals, clinics, and health networks, and how they’re improving operations in vastly different corners of the industry, from increasing efficiency in EMRs and data-mining all the way to providing life-saving cancer diagnoses. Panelists will also do a deep-dive into their predictions for AI’s impact on medicine in the near future.

Additional key topics to be discussed will include:

  • What will be physicians’ new role as AI is adopted?
  • What are the key issues in patient responsibility?
  • Top issues in legal liability concerns
  • What is patentable?


  • Carlos Rodarte, Founder & Managing Director VOLAR HEALTH


  • Tatyana Kanzaveli, CEO & Founder OPEN HEALTH NETWORK
  • Kamaljit Behera, Industry Analyst—Visionary Healthcare Program FROST & SULLIVAN
  • Dr. Salim Saiyed, Chief Medical Information Officer CAROMONT HEALTH

9:50 – 10:30     

OPENING KEYNOTE: AI in Healthcare in the Future—Obstacles and Promises from a Dual Clinician-Data Scientist Perspective 

In this session, Dr. Anthony Chang will offer his unique intersectional perspective on the world of Healthcare AI. He will discuss in depth the many challenges and limitations he’s observed and experienced in his dual role of physician and data scientist, as well as how these challenges have been and can be overcome. He will outline what he sees for the future of AI in medicine, including the urgent need for more meaningful human-to-human interface between clinicians and data scientists, AI in a big data-deficit environment, and the emerging prominence of truly innovative deep learning methods such as reinforcement and one-shot learning, and more!

Dr. Anthony Chang, Chief Intelligence and Innovation Officer CHILDREN’S HOSPITAL OF ORANGE COUNTY

10:30 – 10:50

Networking & Exhibit Break

10:50 – 11:15              

General Session

11:15 – 11:45              

Platinum Sponsor Session

11:45 – 12:15              

General Session: Bridging the Health Data Divide

With advances in artificial intelligence, are we on the cusp of a data-driven learning health system? Not yet, it would seem. In medicine, the massive troves of data needed to pour into machine learning algorithms are difficult to find and access. For the development of machine learning-based approaches to care, data must first be properly archived, integrated across data sources and shared for reuse. Most hospitals have a long way to go in this regard. Data is still treated as a currency for clinical researchers to build careers, harming efforts to combine data to an extent that can fuel progress. But the most daunting challenge, as with most complex problems of our time, is the lack of collaboration across the key players who represent the disciplines and who continue to work in their own silos. Greater emphasis on collaboration – outside the traditional “multidisciplinary” realm and into the engineering, mathematical, and computer sciences – will help us to create the right environment for a move towards a true data revolution in healthcare.

Leo Anthony Celi, Principal Research Scientist  MASSACHUSETTS INSTITUTE OF TECHNOLOGY

12:15 – 1:30  


Grab some lunch and then meet us back in Harvard Hall at 12:30 for our exciting, fast-paced startup showcase. Each burgeoning startup will have 5 minutes to showcase their product and explain how their AI-enabled solutions are poised to positively impact healthcare. Showcase will be followed by a deep-dive Q & A with all of the presenters.

1:30 –2:20 (Track A)

PRACTITIONERS’ ROUNDTABLE: Embracing a Paradox—Using AI to Bring the Human Element Back to Healthcare 

While some are concerned that the use of AI in healthcare will create more distance between clinicians and their patients, AI can in fact help with many of the administrative and diagnostic burdens doctors and nurses are facing today, allowing them, paradoxically, to instead focus on the uniquely human elements of patient care. In this session you’ll learn about clinical applications of AI—particularly around EMRs, data-mining, and imaging/diagnostics—being pioneered in hospitals and health systems and how they’re helping improve the doctor/patient relationship.


  • Dr. David Whittaker, Thoracic Surgeon & Lead, Futures & Innovations US NAVY, BUREAU OF MEDICINE & SURGERY
  • Dr. Anthony Chang, Chief Intelligence and Innovation Officer CHILDREN’S HOSPITAL OF ORANGE COUNTY

1:30 –2:20 (Track B)

EXECUTIVE ROUND TABLE: Integration & Interoperability Challenges for AI in Healthcare

Intended both for developers and healthcare decision-makers alike, this in-depth panel will cover the logistical issues surrounding the integration of new datasets & AI tools & solutions into existing systems & infrastructures within hospitals, clinics, and health networks.


  • Dr. Sameer Badlani, Chief Health Information Officer & VP SUTTER HEALTH

2:20-3:20 (Track A)

PANEL: AI in Diagnostic Imaging—Opportunities, Challenges, & Predictions for the Future

Discover what medical imaging AI solutions are being used currently in hospitals, clinics, and health networks, and how they’re improving operations in vastly different corners of the industry, from improving efficiency in clinician workloads and hospital operations all the way to providing life-saving early diagnoses of cancer and other diseases.

This round table will discuss what AI is proven to be exceptionally “good at” in imaging as well as the areas in which it’s still light years behind the human eye. It will also provide an in-depth look into collaboration, innovation, and entrepreneurship opportunities, how to address common communication barriers between clinicians, healthcare executives, and IT, how the current social and political climates are impacting the industry, and more!


  • Dr. Kevin Seals, Physician, Radiologist, Engineer UCLA RONALD REAGAN MEDICAL CENTER

2:20-3:20 (Track B)

USE CASE: Data Sharing and Standardization to Accelerate Research in Critical Care

Enormous quantities of data are collected from patients in hospital intensive care units (ICUs), operating rooms and emergency departments, but most of these data are not analyzed to discover new knowledge. Standardized guidelines are dependent on an evidence base that is surprisingly weak in the field of critical care considering the amount of data generated in the ICU. We argue that the largest barrier to progress in these fields is the lack of publicly available research data. The Medical Information Mart for Intensive Care (MIMIC) is one such publicly available resource which is the source of over 50 publications a year. Integrating new data sources into MIMIC would broaden its impact, but is complicated but custom database architectures and vocabularies present at many hospitals. In this talk, we will discuss the process of releasing sensitive medical data to the public in a safe and secure way, the opportunities that data sharing provides, and the challenges in scaling this process up to multiple international institutions.

  • Tom Pollard, Postdoctoral Research Associate MASSACHUSETTS INSTITUTE OF TECHNOLOGY
  •  Alistair Johnson, Postdoctoral Associate MASSACHUSETTS INSTITUTE OF TECHNOLOGY

3:00 – 3:20



Afternoon Break

3:40 – 4:05 (Track A)

USE CASE: Deep Learning for Improved Patient Engagement 

Deep learning has emerged as the preferred approach for developing AI systems when dealing with limited or no annotated corpora. Aside from the success of deep learning techniques in addressing typical natural language processing tasks, integrating “memory” and “attention” in neural networks while leveraging relevant knowledge sources yields results that often outperform various state-of-the-art models. This session focuses on the implementation of different neural network architectures to address salient healthcare-related tasks like pharmacovigilance, question-answering and paraphrasing.

  • Dr. Oladimeji Farri, Principal Scientist, Artificial Intelligence Lab PHILIPS RESEARCH

3:40 – 4:05 (Track B)

USE CASE: Impact of Culture on AI Adoption

In this session, Dr. Sameer Badlani will talk about culture barriers with AI use and adoption, and how we can leverage a deeper understanding of our culture to break down these barriers. He will outline how this translates to clinical culture, and how clinicians and other healthcare providers can manage this culture to help drive AI adoption.

  • Dr. Sameer Badlani, Chief Health Information Officer & VP SUTTER HEALTH

4:05 – 4:30 (Track A)

USE CASE: CRISPR for Functional Pharmacogenomics in Precision Medicine

Technological advancements in bioinformatics, proteomics, genomics, molecular imaging, and targeted therapeutics have improved the prospects of matching patient-specific variables to targeted treatment strategies. CRISPR has potential to revolutionize functional pharmacogenomics by allowing for precise knockout of molecular pathways to assess their relevance to drug sensitivity and resistance. In this lecture, I will provide an overview of a clinical trial at the University of Pennsylvania in patients with hepatocellular carcinoma that uses CRISPR as a screen for drug sensitivity. 

  • Dr. Stephen Hunt, Attending Interventional Radiologist

4:05 – 4:30 (Track B)

USE CASE: Artificial Intelligence and Clinical Data—Transforming Healthcare Delivery in Rural America  

Dr. Paiva will present a history of Artificial Intelligence and Machine Learning and the applications within Health Care.  In addition, he will provide an overview of Oklahoma State University’s (OSU) Center for Health Systems Innovation’s (CHSI) efforts to apply these approaches to the transformation of health care delivery with an emphasis on rural health care. Specific examples will be shown utilizing the largest clinical database representing clinical information from 63 million patients collected over 16 years through electronic medical record systems.

  • Dr. William D. Paiva, Executive Director, Center for Health Systems Innovation OKLAHOMA STATE UNIVERSITY

4:30 – 5:30 (Track A)

PANEL: Advancing Precision Medicine with Machine Learning

While precision medicine promises to improve outcomes and reduce costs through targeted, data-driven, personalized therapies, organizations still face significant challenges in implementing personalized medicine programs. The issues around quantity and quality of data must be addressed, in addition to making genomic information usable and meaningful at the point of care. This session will address these challenges, as well as opportunities associated with using precision medicine and genomics in daily practice.

Other key topics to be discussed will include:

  • Tools for integrating genetic and genomic data into clinical workflows to improve patient care
  • How to determine from the data when a genetic test makes sense for a patient
  • What hurdles exist in capturing structured patient outcomes
  • Existing business, technological, political and policy barriers


  • Nicholas Tatonetti Herbert Irving Assistant Professor of Biomedical Informatics


  • Dr. Stephen Hunt, Attending Interventional Radiologist UNIVERSITY OF PENNSYLVANIA
  •  Dr. Nephi Walton, Assistant Professor of Genomic Medicine GEISINGER HEALTH

4:30 – 5:30 (Track B)

PANEL: AI’s Role in the Rise of Value-based Care

Transforming the U.S. healthcare system from fee-for-service to pay-for-value requires healthcare organizations and providers develop a new set of capabilities, and AI is emerging as one of the leading technologies that is enabling these changes. This comprehensive session will outline the immense challenges providers are currently facing as existing healthcare models are turned upside down, and ways in which innovative AI solutions are proving crucial for easing this transition as well as helping providers to better deliver high-quality, low-cost care.


  • Prashant Natarajan, Director of Business Strategy ORACLE
    • Author of “Demystifying Big Data and Machine Learning for Healthcare” 

5:30 – 6:30   Gala Cocktail Reception

January 19, 2018 – Day Two

8:15 – 8:45     

Continental Breakfast

8:45 – 9:00     

Chairperson’s Recap of Day One

9:00 – 9:50     

KEYNOTE PANEL: Bringing AI Back Down to Earth—Being Realistic About the Limitations of AI in Healthcare

With so much of the industry focused on moonshots and so much buzz surrounding “AI” and “machine learning”, it can be hard to know where these hyper-disruptive technologies are actually needed, where they’re superfluous, and what AI and ML are actually capable of today. In this panel you will hear several esteemed practitioners talk candidly and pragmatically about the “unsexy” side of AI healthcare—the practical ways AI is being applied currently, the inherent and necessary limitations, and the risks involved in adoption and implementation.


  • Dr. Rowland Todd Stewart, VP of Clinical Integrated Solutions MERCY HEALTH SYSTEM
  • Dr. Warris Bokhari, Director of New Business Models GE HEALTHCARE
  • Dr. Sven Van Poucke, Anesthesiologist, Emergency Physician ZOL GENK
    • Data Scientist, JUST AS PI

9:50 – 10:30                


  • Dr. Mark Michalski, Executive Director MGH & BWH CENTER FOR CLINICAL DATA SCIENCE

10:30 – 10:50

Networking and Exhibit Break

10:50 – 11:20    

General Session: “Are we There Yet?” Democratizing AI & Robotics for Patients & Providers

The current discourse on machine learning, AI, and robots in health sciences is driven by engineers, data scientists, technology companies, and academic research. While we often hear that there is a need to democratize AI for the masses (professionals and laypersons who will participate & be impacted by it) – there is not yet clear agreement on the most efficient ways to accomplish this need. 

This talk begins by acknowledging the drivers and the complementary, sometimes contradictory, perspectives among stakeholders. Using industry perspectives & original research, we will present a framework of best practices & practical methods that you can use to enable more engaged patients and higher clinician satisfaction via optimized human-machine interaction (robots, contextually intelligent agents, chat bots, etc). 

  • Prashant Natarajan, Director of Business Strategy ORACLE
    • Author of “Demystifying Big Data and Machine Learning for Healthcare”  

11:20 – 12:15     PANEL: Investor Perspectives on AI in Healthcare

With a record number of investment deals occurring in the healthcare artificial intelligence space, investors have their fingers on the pulse of what AI technologies are positioned to have the biggest impact on hospital operations and clinical practice. In this panel they will discuss not just where they’re investing, but why they’re making the investment decisions that they are. Some topics to be discussed will include:

  • What do investors see as the near-term and longer-term applications for AI in healthcare?
  • Will AI in healthcare undergo a similar consolidation to EMRs and other enterprise systems?
  • Will the “healthy” valuations for AI companies continue to hold up?


  • Stephen Krupa, CEO & Managing Partner PSILOS GROUP


  • Jessica Alderman Zeaske. Director, Healthcare Investments GE VENTURE
  • Jonathan Gordon, Director, NYP Ventures NEW YORK PRESBYTERIAN HOSPITAL

 12:15-1:15 Luncheon for all attendees