• A contradiction in terms: AI interoperability in healthcare

    Most AI models can and will only ever be used at the institution(s) at which they were developed. The concept that an AI model is “shareable” — that a model developed at one place can be used at another — is generally a myth. This post explains why, and how the situation can be improved.

  • The Patient Empowerment Paradox… and Solution

    This post describes the “Patient Empowerment Paradox,” identifies its root cause, and offers a potential solution.

  • Avoiding False Alerts: Snoozing ≠ Laziness

    A simple approach can dramatically reduce false positives and annoying, redundant true negatives. Unfortunately, classic count-based metrics usually lead to the false conclusion that the approach wasn’t helpful! Our simple, novel approach solves that problem, enabling implementations with dramatically fewer false and useless alarms.

  • Shocking new discovery: Recall and Sensitivity are not the same!

    Classic statistics like sensitivity and specificity make assumptions that are usually false. That leads to serious problems. Our simple, novel approach provides the solution. Imagine this: My personal library contains 100 books, 50 with red bindings and 50 with blue bindings. I hide coins inside 20 of the books. 10 of the red books each contain a penny and ten of the blue books each contain a silver dollar. I’ll let you pick 10 red books…

  • About Zero Effectors

    From where did the name Zero Effectors originate? When I was growing up, wow, did I love the Sears Catalog! It would arrive with its hundreds of pages of full-color glory. I couldn’t wait to flip to the extensive children’s section and dream of someday having all those great toys. Over time, retailing trends changed, and the catalog was discontinued in 1993 (interestingly, the same year that the World Wide Web launched in the public…