December 9, 2021 AI4C: AI in Radiology: Opportunities and Challenges of Real-World Deployment

December 9, 2021

Description

Over the past 5 years, AI has paved its way into medical imaging.  There has been a plethora of exciting research, multiple international challenges featuring top data-scientists, keen engagement from the engineering and vendor community, resulting in many state-of-the-art AI models. However, there are “nuts and bolts” challenges in implementing AI, and important considerations when it comes to evaluating AI in a real-world clinical environment.

Target Audience

This lecture series in intended for Physicians of all specialties, nurses, Physician Assistants, Information Technology Specialists, and Researchers interested in Artificial Intelligence in healthcare. Faculty of all levels, students, residents, and fellows welcome. Personnel from the healthcare technology sector may also be interested in attending the series.

Learning Objectives

Upon completion of this activity, participants will be able to:

  1. Describe Artificial Intelligence (AI) and Machine Learning (ML) at a high-level.
  2. Identify current limitations of AI in healthcare.
  3. Cite examples of AI as applied to imaging and other healthcare data.
  4. Describe example AI tools that can impact workflow in the healthcare arena.
  5. Utilize clinical AI applications appropriately.

Additional Information

Provided by: 

Massachusetts General Hospital and Brigham & Women's Hospital, Center for Clinical Data Science & Mass General Brigham

 

Course summary
Available credit: 
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation
Course opens: 
08/26/2021
Course expires: 
01/09/2022
Event starts: 
12/09/2021 - 12:00pm EST
Event ends: 
12/09/2021 - 1:00pm EST
Cost:
$20.00
Part of: 
Artificial Intelligence for Clinicians (AI4C) Lecture Series
Add to calendar: 
MGH & BWH Center for Clinical Data Science
Boston, MA
United States

Course Director

Katherine P. Andriole, PhD., FSIIM

Director of Research, Strategy and Operations
MGH & BWH Center for Clinical Data Science
Associate Professor of Radiology
Brigham and Women’s Hospital
Harvard Medical School
Boston, MA

 

Speaker 

Paras Lakhani, MD

Associate Professor of Radiology
Clinical Director of Imaging Informatics
Director of the Applied Deep Learning Lab
Thomas Jefferson University
901 Walnut St, Philadelphia, PA 19107

Mass General Brigham is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

Mass General Brigham designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™ per session. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Available Credit

  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Participation

Price

Cost:
$20.00
Please login or register to take this course.
 
Registration TypeTuition Fee
(per session if you are seeking credit)
MDs, DOs, NPs, & PAs$20
Other Health Care Professionals $10

 

Contact partnerscpd@partners.org if you require assistance in cancelling your online registration.