City-Wide Medical Grand Rounds: Learning "Healthy" Models for Healthcare

Learning "Healthy" Models for Healthcare

Marzyeh Ghassemi, MSc, PhD

Assistant Professor, Faculties of Computer Science & Medicine, University of Toronto
Faculty Member, Vector Institute
 

Learning Objectives:

At the end of the presentation, participants should be able to:

1. Describe the advantages and pitfalls of using machine learning in health,
2. Cite how machine learning may be useful for a specific clinical task, and
3. Reflect on the interplay of data, tools, and expertise in their practice.

Hosted at:

• University Health Network – Toronto General Hospital
  Medical Education, Eaton Ground 025/026

Interactive videoconference:

• Baycrest
  Telehealth boardroom
• Markham Stouffville
  B1306E
• Michael Garron
  Gray Steele conference room
• Sinai Health
  Bridgepoint: G.001
  Mount Sinai Hospital: 18th floor Auditorium
• St. Joseph’s
  ​​​​​​​Sunnyside 2S.257 
• St. Michael’s
  LKSKI: Keenan Research Centre auditorium - 2nd fl.
• Sunnybrook
  Bayview: McLaughlin Lecture Theatre, EG 61
  St. John's Rehab: S3 332
• Trillium Health Partners
  Credit Valley: IA Surgical Oncology Room 1A221
  Mississauga: CA4 Small Boardroom
• University Health Network
  Toronto Western: Main auditorium, 2W 401
• West Park
  R3 Sunroom
• Women's College
  Auditorium, 2501

Webcast available

Please note that the webcast was interrupted due to technical issues. Dr. Ghassemi's slides are available for download here: Slides CWMGR_2019_Ghassemi_Marzyeh.pdf

Evaluation & Attendance

Attendance for Maintenance of Certification credit will only be tracked if evaluation and attendance surveys are completed.

Printable poster

CWMGR Poster - 18-10-24.pdf