Title: RST DLMP Grand Rounds:  Artificial Intelligence in the Clinical Laboratory: Leveraging Opportunities and Mitigating Risks  (June 5, 2024)

Speakers: Thomas JS Durant, MD 

Learning Objectives: After attending this presentation, you should be able to:

• Define basic machine learning vernacular
• Name the three types of machine learning
• Identify areas of the clinical laboratory that are most likely to see ML adoption

Audience: DLMP Staff

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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