Artificial intelligence has opened new frontiers in healthcare, from improving early detection of disease, to advancing personalized care management and influencing provider and patient behavior. Given the recent advances in machine learning and computing capacity, the integration of AI-based technologies across the patient journey has come with hopes to solve some of the most pressing problems in healthcare. However, with these discoveries we have also gained a greater understanding of its limitations. This panel will address the opportunities and challenges of using AI-enabled technologies in a variety of healthcare settings and discuss some of the key considerations that will shape the future of this rapidly evolving industry.

Panelists

DOV TAMLER

Chief Marketing Officer, Sensely

Dov Tamler brings a background of deep experience across both technology and healthcare. Most recently Dov served as the COO of Caldera Medical, a pelvic health medical device company, where he helped grow the company from the whiteboard stage to a full commercial entity. Prior to Caldera, Dov worked at several venture-backed technology startups, as well as at Intel Corporation, largely in marketing, business development, and program management roles. Dov holds a BA in Communications Studies from UCLA, as well as an MBA from Columbia Business School.

TOM CALEF

Chief Technology Officer, Activ Surgical

Mr. Calef is a highly accomplished medical roboticist and seasoned engineering leader who has delivered breakthrough innovation in surgical robotics. Previously, he was the Director of Advanced Robotics at Medrobotics, where he led the development and release of the first flexible surgical robotics platform, grew the engineering team from two to 50 people, and guided numerous surgical robotics products through 510k clearance. He holds both a B.S. in Computer Engineering and a M.S. in Mechanical Engineering from the University of Massachusetts.

ANDREW BECK

CEO and Co-Founder, PathAI

Andy earned his MD from Brown Medical School and completed residency and fellowship training in Anatomic Pathology and Molecular Genetic Pathology from Stanford University. He completed a PhD in Biomedical Informatics from Stanford University, where he developed one of the first machine-learning based systems for cancer pathology. He’s been certified by the American Board of Pathology in Anatomic Pathology and Molecular Genetic Pathology. Prior to co-founding PathAI, he was on the faculty of Harvard Medical School in the Department of Pathology at Beth Israel Deaconess Medical Center. He has published over 110 papers in the fields of cancer biology, cancer pathology, and biomedical informatics. 

Moderator

MIHRAN YENIKOMSHIAN

Managing Principal, Analysis Group

Mr. Yenikomshian specializes in data analysis and economic modeling and has consulted on economic and strategic issues to companies in a variety of industries, including pharmaceuticals, medical insurance, blockchain and cryptocurrency, computer software and technology, and cybersecurity. He has extensive experience analyzing large datasets, such as administrative insurance medical claims and transactional software sales data. Mr. Yenikomshian has calculated damages in antitrust, health care product liability, kickback, and off-label pharmaceutical promotion matters, and in a variety of consumer class action cases. He has served as a testifying expert in a criminal matter, provided critiques of data and analytical methodologies in support of rebuttal testimony, and assisted attorneys with discovery, cross-examination strategy, and settlement negotiations. He has also developed interactive software tools to help clients make strategic decisions. Mr. Yenikomshian is a member of the American Bar Association and serves as co-chair of its Big Data Committee and Data Science Working Group, as well as vice chair of its Artificial Intelligence and Robotics Committee. Prior to joining Analysis Group, he was a partner in a software development and staffing technology firm.​

Mr. Yenikomshian holds an M.B.A., F.W. from the Olin Graduate School of Business, Babson College; and a B.A., quantitative economics and computer science from Tufts University