Value of Artificial Intelligence in Detection of Pulmonary Embolism

Course Overview

This topic outlines and gives numerous case examples of usefulness of Artificial Intelligence (AI) for triage of cases, error detection, and potential reasons for missed diagnosis.  Opportunities to make the initial diagnosis are given, as well as both cine and single image captures in multiple cases of pulmonary embolus detected by AI algorithms.

Learning Objectives

1. Artificial intelligence can have multiple purposes when applied to pathology screening, including primary diagnosis, patient triage, and error checking.

2. Studies for CTPA must include multiple planes of scanning.   All series must be scrutinized as best conspicuity is obtained when the PE orientation is parallel to the scan plane.

3. Detection of small or incidental pulmonary emboli is very important, as a high number of patients go on to develop recurrent emboli and sudden death.  Most guidelines do not differentiate therapy based on symptomatic vs asymptomatic patients.

For New Users

If you haven't accessed the vRad Radiology Education platform before, you will be prompted to complete a one-time registration process which allows you to access this course, and all other free CME courses vRad offers.

Audience and Claiming Credit

This course has been designed for radiologists. A certificate awarding credit will be issued to participants who have reviewed the entire presentation and correctly answered the post-test question.

Accreditation Statement

This activity has been planned and implemented in accordance with the accreditation requirements and policies of the Accreditation Council for Continuing Medical Education (ACCME) through the joint providership of the Minnesota Medical Association and vRad Radiology Education. The Minnesota Medical Association (MMA) is accredited by the ACCME to provide continuing medical education for physicians.

The Minnesota Medical Association designated this online course review for a maximum of 0.25 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

 

Jointly provided by the Minnesota Medical Association and vRad Radiology Education