Artificial Intelligence
April 23–25, 2018
Boston, MA • United States

Discovery Café

2018: Lunch with Top Leadership from across Partners HealthCare and Industry

Seven intensive workshops addressing cutting-edge artificial intelligence topics.

1. The Future of AI in Pathology and Laboratory Medicine

Diagnostic medicine is accepted as one of the first domains in medicine that should benefit from AI and machine learning. This session will address how AI will impact pathology and laboratory medicine in the near and long term.


  • Jeffrey Golden, MD, Chair, Department of Pathology, BWH; Ramzi S. Cotran Professor of Pathology, HMS
  • David Louis, MD, Pathologist-in-Chief, MGH; Benjamin Castleman Professor of Pathology, HMS


  • John Higgins, MD, Associate Pathologist, MGH; Associate Professor, HMS
  • Jochen Lennerz, MD, PhD, Associate Director, Center for Integrated Diagnostics, MGH; Assistant Professor, Pathology, HMS
  • Reiko Nishihara, PhD, Assistant Professor, Pathology, BWH; Assistant Professor, Pathology, HMS
  • Kun-Hsing Yu, MD, PhD, Harvard Data Science Postdoctoral Fellow, Department of Biomedical Informatics, HMS

2. Technology and AI in Anesthesiology

Anesthesiology is a major element of the in-patient environment and AI implementation in it has the potential of far reaching effects. This session will address how AI will impact anesthesiology in the near and long term.


  • James Rathmell, MD, Chair, Department of Anesthesiology, Perioperative and Pain Medicine, BWH; Leroy D. Vandam Professor of Anaesthesia, HMS
  • Jeanine Wiener-Kronish, MD, Anesthetist-in-Chief, MGH; Henry Isasiah Dorr Professor of Research and Teaching in Anaesthetics and Anaesthesia, HMS
  • William Driscoll, Director, Perioperative Clinical Engineering and IT Systems, MGH

3. The Future of AI in Neurosciences

The neurosciences in its broadest definition touches the most patients in medicine. This session will address how AI will impact neurology, psychiatry and psychology.


  • Rudolph Tanzi, PhD, Vice-Chair, Neurology, Director, Genetics and Aging Research Unit, MGH; Joseph P. and Rose F. Kennedy Professor of Neurology, HMS
  • David Silbersweig, MD, Chair, Department of Psychiatry, BWH; Professor of Psychiatry, HMS


  • Maurizio Fava, MD, Director, Division of Clinical Research, MGH; Associate Dean for Clinical & Translational Research & Professor of Psychiatry, HMS
  • Oliver Harrison, MD, CEO, Telefonica Alpha Health

4. Intelligence in Sight: How Machine Learning Will Impact Ophthalmology

There has been an explosion in the research and development of artificial intelligence for assessment of retinal and optic nerve diseases using ophthalmic imaging. Deep learning algorithms have been shown to screen for common conditions such as diabetic retinopathy with high precision. The advantages and challenges of integrating machine learning in ophthalmic care will be discussed by a panel that includes industry leaders and clinicians who are the forefront of artificial intelligence discovery and development in the ophthalmic space.


  • Joan Miller, MD, Chief of Ophthalmology, Massachusetts Eye and Ear and MGH; Chair, Department of Ophthalmology and David Glendenning Cogan Professor of Ophthalmology, HMS
  • Lucia Sobrin, MD, Director, Morse Laser Center, Massachusetts Eye and Ear Infirmary; Associate Professor of Ophthalmology, HMS


5. Data Security

The security of data is a fundamental requirement throughout health care. The growing ubiquity of data driven machines throughout medicine introduces new risks and potentially increased scale of breaches. A panel of top provider and industry data security experts discuss security implications in detail.



  • Carl Kraenzel, VP, Chief Information Security Officer, IBM Watson Health
  • Jigar Kadakia, Chief Information Security and Privacy Officer, PHS

6. Innovation Fellows: A New Tool

The Innovation Fellows program is a hands-on model of collaborative innovation that enables industry to gain access to early career Harvard faculty through personnel exchanges between Partners hospitals and participating biopharmaceutical, device, venture capital, digital health, payor and consulting firms. It provides experiential, career-development opportunities for future leaders in health care. Panelists will highlight program characteristics, how participants can maximize value and broader implications for industry-academic collaboration including how it might be used to address AI requirements.



  • Raolat Abdulai, MD, Clinical and Research Fellow, BWH; Associate Director, Early Clinical Development, Respiratory Inflammation & Autoimmunity Therapeutics, AstraZeneca
  • Paul Anderson, MD, PhD, Chief Academic Officer, BWH; SVP of Research, BWH; K. Frank Austen Professor of Medicine, HMS
  • Nazem Atassi, MD, Associate Director, Neurological Clinical Research Institute, MGH; Associate Professor of Neurology, HMS
  • Harry Orf, PhD, SVP for Research, MGH

7. Workforce: Humans, Machines and the Future Delivery of Care

The growth of AI and machine learning in health care is inexorably tied to workforce issues – it will both drive the evolution of the workforce and its rate of adoption will be subject to workforce characteristics. This session will address the human dimension in the growth of AI in healthcare including workforce composition and strategic issues associated with the inevitable changing roles of humans and machines. Issues of how to identify, characterize and respond to future requirements will be discussed in detail.



  • Katherine Andriole, PhD, Director of Research Strategy and Operations, MGH & BWH CCDS; Associate Professor of Radiology, HMS