To create large and diverse datasets used for training algorithms that will perform as planned in clinical practice, you need data from multiple institutions. This will minimize the chance of using data that is too...

If there is one issue that needs to be front and center in AI will fulfill its potential, it is the issue of data: getting enough of it to train the algorithms, having a steady...

Artificial intelligence technology has been "around" for some 80 years. Although it has gained significant traction recently and its applications are transforming almost every industry in the past few years,  its foundations were created around...

It’s important to remember AI isn’t magic (or robots coming to replace your doctor) — it’s just math. Terms like “machine learning” and “deep learning” are simply ways of explaining statistics-based computer algorithms. These algorithms...

I have seen the evolution of healthcare over the course of my career, first as a Cardiologist, then as an entrepreneur and investor in healthcare.  I have seen universally fatal diseases like hairy cell leukemia...