Artificial Intelligence and Machine Learning for In Vitro Diagnostics

Overview

The AI/ML project aims to build on AI/ML best practices designed for imaging and other applications to develop an industry perspective on a predetermined change control plan (PCCP) for other AI/ML-enabled medical devices, including IVDs.

NEW RELEASE!

Predetermined Change Control Plans for AI and ML-enabled Medical Devices

This resource builds on FDA and global regulatory frameworks to guide stakeholders in planning and implementing iterative improvements to AI/ML-enabled medical devices. It offers insights on creating a Predetermined Change Control Plan (PCCP), including key elements like Description of Modification (DOM), Modification Protocol, and Impact Assessment, to manage post-market changes while maintaining device safety and effectiveness.

Download Now

AI/ML Working Group

Active AI/ML Working Group members represent the following IVD stakeholders:

  • Agilent
  • Becton Dickinson
  • Escavo
  • Philips
  • Precision Medicine & Diagnostics
  • Roche

Explore ClinDx Resources

Predetermined Change Control Plans for AI and ML-enabled Medical Devices

Standardizing Clinical Data for In Vitro Diagnostics

Study Design Blueprint for Evaluating Analytical Performance Characteristics of Point of Care In Vitro Diagnostic Devices with Capillary Whole Blood (Fingerstick) Specimens