AI Agents III
In the last post in this series about AI agents and their upcoming role in healthcare, I want to start with the following table that shows how the capabilities of generative AI models has evolved over the last 2 years. As you can see, most of the foundation models by Open AI, Google, and others […]
AI Agents II
In the last post, we discussed the improving capabilities of generative AI and its increasing ability to reason through complex problems. This is the evolution that will be critical if AI systems will become fully autonomous in the near future and free up human resources to focus on different activities. Like any other technology, AI […]
AI Agents I
The last 2 years has seen a dizzying pace of innovation when it comes to foundational AI technologies. While no transformative innovation happens overnight and most innovations that move the needle are usually the result of years and decades of research, we’ve seen generative AI technologies evolve rapidly since the launch of ChatGPT. This has […]
5 predictions for advancements of AI in healthcare in 2025
In 2024, I joined Fast Company’s Executive Board and began writing articles about healthcare and technology. I’ve written about Longevity and last week, I wrote my predictions for health AI in 2025. I’m including the text of that article below as my last blog post for 2024. For 2025, I will be writing a series […]
Annual Recap – 2024 in Healthcare Technology
While this has been a very turbulent year in all manners of speaking, for health technology it has been a rather eventful year and mostly positive. While the world has been dealing with major geopolitical issues posing risk to economic stability and long-term growth, high inflation rates, higher for longer fed fund rate, US elections, […]
The Shifting Landscape of AI Regulations in Healthcare III
As we discussed in the last post in this series, there are new developments in the regulation of health AI products. While the FDA is one key body in clearing these solutions for their efficacy and safety, given that they’re not requiring real-world studies of the safety and the outcome improvements with these solutions, their […]
The Shifting Landscape of AI Regulations in Healthcare II
In the last post, I discussed how a lower bar for clearing AI products by the FDA has not led to the faster adoption of these products by the medical community and in fact, it may be a major contributor to the slower adoption. When institutions have confidence that the products they’re buying have been […]
The Shifting Landscape of AI Regulations in Healthcare I
While there has been an explosion of FDA-approved health AI products, most have not yet gained much traction in the everyday clinical workflows. There are several reasons for this. First, it’s important to understand the difference between how the FDA provides approval or clearance to a drug or medical device versus how it tackles a […]
AI Medical Coding V
In the final post in this series, I’ll discuss the approaches that can make a very necessary and tedious part of administering healthcare more automated and where it can go from here. If you examine the autonomous coding efforts over the last decade or so, it started with using historical billing data that using statistics […]
AI Medical Coding IV
The emergence of autonomous medical coding solutions that could eliminate the need for care providers to do their own coding or human coders to review their codes or do the coding on their behalf can turn out to be a turning point in the digital revolution of healthcare. While digital revolution of healthcare sounds grand […]