Top 10 AI and machine learning stories of 2022

Healthcare's comfort level with artificial intelligence and machine learning models – and skill at deploying them across myriad clinical, financial and operational use cases – continued to increase in 2023. More and more evidence shows that training AI algorithms on a variety of datasets can improve decision support, boost population health management, streamline administrative tasks, enable cost efficiencies and even improve outcomes. But there's still a lot work to be done to ensure accurate, reliable, understandable and evidence-based results that ensure patient safety and account for health equity. There's no doubt that AI's application in healthcare has gone beyond "real" in 2019 to significant investment by providers and payers last year. This year, we've reported on deeper industry discussions focused on trust and best practices.