Artificial intelligence and machine learning (AI/ML) technologies continue to transform every industry, and healthcare is no exception. We’ve seen growing acceptance of AI in healthcare, as the FDA has recently authorized 950 AI/ML-enabled medical devices as of August 2024, a significant increase from 171 approved advices the year before.
While there is still a long way to go before we see widespread use and approval of AI/ML technologies in healthcare, it’s clear that there is growing interest and application in all areas of the healthcare industry. AI-powered resources have the potential to revolutionize healthcare by substantially improving patient experience and outcomes.
However, there are also considerations medical device manufacturers and regulatory bodies have to make about the standards AI/ML medical devices should meet, where this technology may prove the most promising, and what developments need to be made to ensure AI in healthcare is safe, secure, and effective for patients and practitioners.
The increased computational demands of AI in healthcare also means that medical device manufacturers should carefully consider their power supply needs. What may have been able to power simple computational requirements may struggle to accommodate larger datasets and real-time results.
In our downloadable guide, Powering AI in Healthcare, we cover some of the latest trends in the industry, where AI/ML medical devices are being applied the most, and where we may see things go in the future, as well as the power supply factors medical device manufacturers should consider.
Download the AI/ML Summary
Artificial Intelligence and Machine Learning (AI/ML) are changing the medical device landscape. Get a summary of the latest trends and where we think AI/ML can go with medical devices by downloading our guide.
