IEEE AI & Healthcare Roadmap (AIHR) Work Group

 

The IEEE AI & Healthcare Roadmap (AIHR) project is meant to stimulate an industry-wide dialogue to address the many facets and challenges of the development and implementation of AI technologies into healthcare in a well-coordinated and comprehensive manner. This roadmap will be crafted by experts from industry, government, and academia and is designed to help guide providers, regulators, manufacturers, researchers, and other relevant parties involved in developing these new technology ecosystems by laying out a technology-focused roadmap with key timeline horizons.

AIHR will dedicate a chapter to each of the topical areas below. For each chapter, the authors will present the historical context and foundational developments for AI in that topic, the current state of AI and key trends, the opportunities and potential directions that AI could provide, and the technological roadblocks that are likely to be faced before getting to the desired end point. AIHR will predict a future state of 10 years from now and will consider potential technology roadblocks at the 3-year and 5-year markers.

Areas of coverage will include:

  • Diagnostics and Imaging
  • Drug Discovery
  • Personalized Medicine/Precision Medicine
  • Healthcare Operations
  • Biomedical Robotics and Surgery
  • Mental Health
  • Mobile Health & Sensors
  • Telemedicine & Remote
  • Health Data Analytics
  • Ethical Considerations

Each area of coverage has a work group of experts that collaborate on the output. AIHR is a volunteer project, and we welcome new volunteers with expertise in this domain. Those interested in joining one or more work groups can email their CV and area of interest to [email protected]. IEEE membership is not required (but all the cool kids are doing it so you should too).

 

Current AIHR volunteers:

  • Marinka Natale, LYNXIQ (volunteer Chair of AIHR)
  • Christine Miyachi, Microsoft
  • May Wang Georgia Tech
  • Bingwei Liu, Aetna
  • Mihail Popescu, University of Missouri
  • Gustavo Giannattasio, retired
  • Bruce Hecht, Mithril Technologies, VG2PLAY
  • Joe Campbell, MIT Lincoln Laboratory
  • Giacinto Barresi, University of the West of England
  • Dimitris Visvikis, INSERM
  • Aparna Dey, Cadence Design Systems
  • Francisco Rosero Villareal, MD
  • Moein Enayati, Mayo Clinic
  • Hojat Salehinejad, Mayo Clinic