Why Clinicians Don't Trust Your AI - And What Engineers Can Do About It

Clinical AI keeps failing not because the models are bad, but because engineers keep solving the wrong problem. After analyzing over 600 research papers and real production deployments, the pattern is unmistakable: trust is an engineering problem hiding inside a data science problem. This post breaks down why - and gives you the design patterns to fix it.