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Paediatric wrist injuries: diagnostic accuracy of 3D ultrasound and artificial intelligence

Expiry Date
: 01/07/2027
CPD Units
: 3.00 Points
Rating
: 2/4

This article assesses the feasibility, reliability, and accuracy of 3D ultrasound for detection of paediatric wrist fractures and accuracy of automated fracture detection via AI from 3DUS sweeps

Keywords: 3D ultrasonography, wrist, fractures, paediatric, artificial intelligence

Reading material:

Educational Objectives

Educational Aim:
The aim of this article is to assess the feasibility, reliability, and accuracy of 3D ultrasound for the detection of paediatric wrist fractures and the accuracy of automated fracture detection via AI from 3DUS sweeps.


Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

  1. The use of 3D ultrasound to assess paediatric wrist injuries
  2. The use of Artificial intelligence (via. 3D ultrasound sweeps) to assess paediatric wrist injuries
  3. Whether or not the introduction of these methods into the ER could be more beneficial than standard radiography.


Instructions for this Module

  • Read the supplied reading material and complete the quiz that follows;
  • You have three attempts to pass the quiz;
  • The pass grade is 70%;
  • You need to pass the quiz to claim your CPD certificate;
  • Please click on the CPD certificate link below to claim your CPD certificate and to update your CPD Manager.

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