Artificial intelligence and machine learning can help health systems in many ways, from improving backend efficiencies to monitoring patients to streamlining imaging analysis. But even when a health system has good data sets, turning those into useful and accurate algorithms is no easy feat.
On a panel at the HIMSS Machine Learning & AI for Healthcare conference in Boston today, moderated by...
