{{ (moduleVm.actions && moduleVm.changeStatus) ? moduleVm.status : '' }} Introduction to Machine Learning in Obstetrics and Gynecology *6167*

Activity Steps

1 Activity
2 Take Test 3Certificate

Description

Cognate Code 6167

Learning Objectives

After completing this continuing education activity you will be able to:

  1. Distinguish between machine learning and artificial intelligence.
  2. Discuss the role of large data sets in developing risk stratification in obstetrics.
  3. Outline challenges to the implementation of artificial intelligence into clinical practice.
  4. Implement a strategy to leverage artificial intelligence algorithms into improved patient care.

Disclosures

Financial Disclosure: The authors did not report any potential conflicts of interest.

Price: $25.00

Credits:

  • ACOG 2.0 CME

The American College of Obstetricians and Gynecologists is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

AMA PRA Category 1 Credit(s) The American College of Obstetricians and Gynecologists designates this journal-based activity for a maximum of 2 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

College Cognate Credit(s) The American College of Obstetricians and Gynecologists designates this journal-based activity for a maximum of 2 Category 1 College Cognate Credits. The College has a reciprocity agreement with the AMA that allows AMA PRA Category 1 Credits TM to be equivalent to College Cognate Credits.

Planner
Professions: Physician
Test Code: ONG0422
Published: March 10, 2022
Expires: 4/30/2025
Sources: Obstetrics & Gynecology
Required Passing Score: 7/10 (70%)
Authors: Sherif A. Shazly, MSc, Emanuel C. Trabuco, MD, Che G. Ngufor, PhD, and Abimbola O. Famuyide, MBBS
Categories: Gynecological , Management , Obstetrical , Women's Health
Specialties: OB/GYN
Topics: Artificial Intelligence , Machine Learning