Framework for ideal medical algorithms proposed by PRISMAp researchers

2022 PRISMAp Highlight

In the debut issue of PLOS Digital Health, a team of researchers including PRISMAp faculty partner Tyler Loftus and lab director Azra Bihorac published the article “Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible.”

In the article, the PRISMAp researchers proposed a framework of six qualities that ideal medical AI algorithms should possess.

Read the PLOS Digital Health article here.