AI has become a much more common element of medical devices in the past few years, with submissions increasing rapidly over the last 3 years. This significant growth is being fueled by many factors that indicate this trend will continue for quite some time. Two factors that stand out are 1) the availability of data through connected systems and wearables has exploded and 2) access to elastic and seemingly limitless processing power and storage capacity with cloud computing now used at scale.
AI has demonstrated value, such as in its use as a tool for radiological image analysis. This is just the beginning; consider, for example, the life and cost saving value of recognizing a meaningful signal from the noise of wearable’s data to achieve early detection of cardiac disease. There is significant additional value ahead as our ability to train more sophisticated algorithms improves and we navigate how to incorporate them effectively and safely into more new and existing systems.
With our panel of industry experts, we will look the engineering challenges and strategies associated with the connected, often distributed systems that incorporate AI. Carlos Galmarini, CEO and founder of Topazium, will discuss some of the challenges and common pitfalls associated with developing the algorithms themselves. Dave Vogel, Founder of Intertech Engineering Associates and author of the authoritative textbook, Medical Device Software, will cover the current regulatory framework for AI and how that impacts development approaches and decisions. Lastly, Adam Hesse, former product lead for BD’s connected insulin pump and Medtronic’s cardiac CareLink backend, and current EVP of Engineering at Full Spectrum will talk about the architectural approaches required to support the development and update systems with widely varying speeds of evolution and significant regulatory expectations in a practical and balanced way.
Watch this webinar at: https://www.youtube.com/watch?v=61-ZyTLD-oA
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