A record increase in FDA approved devices using AI/ML
I have compiled a list of FDA approved devices over the period 1995-2023.
While this may not be directly relevant to IndieHackers. But it shows a clear trend of AI adoption in a difficult sector like healthcare.
Highlights from the report
- Radiology has experienced the steadiest increase of AI/ML-enabled device submissions of any specialty.
- Machine learning models have ranged in complexity from shallow (less than two hidden layers) models to more complex models (deep learning models).
- In general, models have increasingly adopted hybrid approaches, integrating diverse algorithmic methods to attain the outcome of a secure and efficient device. This might involve employing one model for feature generation and another for classification, for instance.
- The list covers a period between 1995-2023.
- As anticipated, there has been a notable increase in FDA approvals for devices empowered by AI/ML since 2020, following the onset of the COVID-19 pandemic.
