Artificial Intelligence (AI) in Learning and Discovery: AI Departments, Centers, Institutes, and Committees

These are some of the departments and institutes at Mount Sinai involved in artificial intelligence; please note that this is not an all-inclusive list. Click on the links below to learn more.

• Windreich Department of Artificial Intelligence and Human Health

  The Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai is the foremost department of its kind within a medical school, thus enhancing opportunities for partnerships among medical and computer scientists.

• Hasso Plattner Institute for Digital Health at Mount Sinai

  A partnership between Mount Sinai and the Hasso Plattner Institute for Digital Engineering in Potsdam, Germany, HPI-MS aims to turn the promise of digital health into reality by being the driver of innovation that will revolutionize the way in which people think about their personal health and health systems, generating real impact in people’s lives.

• BioMedical Engineering and Imaging Institute (BMEII)

  The BioMedical Engineering and Imaging Institute (BMEII) focuses on the use of multimodality imaging for brain, heart, and cancer research, along with research in nanomedicine for precision imaging and drug delivery. BMEII is composed of research groups in all aspects of imaging research.

• The Center for Ophthalmic Artificial Intelligence and Human Health

  The Center for Ophthalmic Artificial Intelligence and Human Health (COAIHH) serves as one of the first centers in the United States dedicated to leveraging the untold potential of AI, data science, and imaging to achieve breakthroughs in ophthalmic care. The Center will focus on a broad spectrum of research, clinical and diagnostic care, and physician education to help bring AI and its rapidly growing family of technologies and capabilities into the ophthalmic mainstream.

•  ISMMS AI Committee Supporting Teaching, Learning, & Discovery (AI.TLD)
  • Co-Chair: Dr. David C. Thomas, MD (Dean of Medical Education)
  • Co-Chair: Paul Lawrence (Dean of Scholarly & Research Technologies)
  • This committee is responsible for the ISMMS Framework for Scholarly Use of AI
     
• MSHS Artificial Intelligence and Machine Learning Governance (AIGOV)