Objectives

After participating in this educational activity, attendees should be able to:
1.| Identify current and potential applications for machine learning algorithms
2.| Determine appropriate machine learning algorithms for different applications
3.| Assess for pitfalls and potential biases in medical machine learning papers

Faculty

Speaker Name

Ryan D. Kindle, MD
Pulmonary Intensivist
Baystate Medical Center

Faculty Disclosure

The design and content of Baystate Continuing Interprofessional Education ( CE ) activities support quality improvement in healthcare and provide fair and balanced views of therapeutic options.  Faculty or planner conflicts of interest are resolved before the educational activity.

None of the planners  for this educational activity have relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients.     

                                                        

Session date: 
12/01/2021 - 8:00am to 9:00am EST
Location: 
Webinar Live
MA
United States
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 ANCC Contact Hours
  • 1.00 BCIPE Instructional Hours

Please login or register to take this course.