Artificial intelligence and machine learning (AI/ML) promises to provide better solutions for patients in medical devices and biotechnology applications. However, its statistical nature presents challenges from a safety and development perspective, requiring subject matter expertise and purpose-built solutions for those developing life-changing products. In this talk, we will discuss the challenges of safety-critical software development with AI/ML, highlight risks and other critical elements of development, and recommend effective practices that use a risk-based approach to protect patient health and safety.
Learning Objectives:
Learn to address the challenges and pain points of safety-critical software development and, in particular, safety-critical AI/ML development and validation
Understand best practices for utilizing Open Source Software in products and Cloud Development
Explain how to leverage existing technologies to accelerate time to market