The technology underlying the medical device industry has evolved significantly over the past few decades. For practical and prudent reasons, the industry’s never on the bleeding edge of technology, but rather a few steps back; in most cases adopting technology only after its been proven in other, less risk averse, sectors. Due to their more intense focus on clinical technology, medical device companies have intentionally lagged in adoption of new computer-related technology.
However, the technology pressures mounting on device manufacturers today seem quite different. The rapid evolution of cybersecurity threats, and associated escalating regulatory impacts, is happening in parallel with similar challenges and pressures in the rest of the commercial domains. Artificial intelligence (AI) and machine learning (ML) adoption is accruing not only coincident with other industries, but in the case of imaging diagnostics, it may even be ahead of the others.