AI in Healthcare Blogs

AI-based solutions will face skepticism and have a tough road ahead before they gain adoption, even if they’re solving clear, unmet needs. That’s just how it is in healthcare. Changing the practice of medicine isn’t easy, but changing the business … Read More

Given all of the hype around AI these days, it seems like you can’t miss as an investor if you allocate significant capital into any company with AI in its name. In spite of the significant downturn in public and … Read More

In the last series of posts, I’ve discussed the importance of carefully examining a use case before developing or funding a health AI solution. A use case analysis should include the economic impact of your solution on the business model … Read More

One salient issue is deciding whether to build or invest in a health AI solution is whether it solves a big enough problem. There are now hundreds of solutions that have been approved by the FDA and have not seen … Read More

If you’ve determined that the workflows will be user-friendly and the data required for the AI solution to create its output will be available in a reliable and timely manner, you’re off to a good start of the business case … Read More

Beyond workflows, the issue of data is salient. AI solutions have no benefit if there’s not enough data. Often, a medical algorithm shows great results in development and validation but when it gets to the real world, the results are … Read More

In the last post, we discussed the myriad of issues that need to be analyzed from the point of view of builders or buyers of health AI solutions. Each one of those issues can make or break a promising solution. … Read More

If the first decade of digital health has taught us anything, it’s that having an innovative product does not necessarily mean success. There are many problems in healthcare and there are technologies today for many of those issues. So why … Read More

Chronic pain is another area that’s a source of significant morbidity for patients, leading to a high amount of use for healthcare resources. Its treatment often involves a variety of procedures and can lead to long-term narcotic addiction. Interesting areas … Read More

In the last post, we discussed the collaboration between University of Utah Health, the Regenstrief Institute and Hitachi for the development of a new artificial intelligence approach that could improve treatment for patients with Type 2 diabetes mellitus. Pooling data … Read More