Analysis Of Over 10,000 Healthcare AI Patents Highlights Future Trends: Our New Study

We are thrilled to announce the recent publication of our new study, Forecasting Artificial Intelligence Trends in Health Care: Systematic International Patent Analysis in the Journal of Medical Internet Research AI (JMIR AI). Our study takes an interesting deep dive into healthcare AI patents from the last decade, analysing over 10,000 of them from 2012 to 2022. Through this exploration, we shed light on the growth trends, the direction AI innovation is heading in different medical specialties, and the potential future implications of AI and Machine Learning (ML) in healthcare. Our journey into the world of healthcare AI innovation and regulation started in 2019-2020 with a fair amount of research resulting in this study published in Nature digital medicine. A fascinating starting point for that venture was that although the FDA had been approving AI-based devices for years, they hadn’t initially distinguished them as a unique category. We decided to sift through these approvals and identify those that were AI-based. This resulted in the creation of an open-access database, which we shared with the FDA. Imagine our delight when, a year later, the FDA published their own database and cited us as a source! To illustrate this work, we also created an infographic, “The Current State of FDA-Approved, AI-Based Medical Devices,” which, to our immense pleasure, has been downloaded millions of times and has been updated regularly since then. Here is its latest iteration: ...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: TMF Artificial Intelligence in Medicine AI patents digital health patent analysis future Innovation machine learning AI in healthcare AI in medicine Source Type: blogs