How to Use Artificial Intelligence & Machine Learning to Produce Better, Smarter, Safer Devices

What is artificial intelligence (AI) and machine learning (ML) and how do the two differ in the medical device industry? How can companies leverage AI and ML in their medical devices to improve the quality of life?

In this episode of the Global Medical Device Podcast Jon Speer talks to Devon Campbell, founder of Prodct LLC, and Anthony Habayeb, co-founder and CEO of Monitaur.ai about how AI and ML can be utilized to produce better, safer, smarter, and faster medical devices.

Some of the highlights of the show include:
• What is AI? John McCarthy, Father of AI, defined it as: “The science and engineering of making intelligent machines.” Basically, it’s Independent robots thinking and acting like humans, completely autonomously.
• ML is a technique within AI that focuses on algorithms and models in software to reach real-time conclusions and decisions based on a foundation of learning, training, and rules.
• What’s the reality of AI adoption in major industries? It’s challenging to get large, regulated, medical device companies to implement ML due to safety risks. Yet, it can be transformational.
• Machine Learning Assurance: Guidance on how to perform audits of ML models to create assurances that build trust and confidence in a quality management system (QMS) and development process.
• Culture of Quality Control: Mistakes can and will be made. Is AI and ML behaving within certain bounds and rendering good results in the medical device industry?
• FDA encourages collaboration for companies to demonstrate ML assurance, mitigate risks, prove quality control mindset, understand Algorithmic Change Protocol (ACT), and provide post-market surveillance.
• Lean in and Lead: Focus on safety and effectiveness to meet the needs of patients and caregivers by using AI in some way with medical devices.