The global health care sector once again faces a year of  unprecedented transformation and challenges. Providers  worldwide continue to confront the lingering effects of  the COVID-19 pandemic, which has led to widespread  labor shortages and rising costs. The sector has also been  buoyed by the broader adoption of technology such as  artificial intelligence (AI) that can address some of those  issues.  At the same time, health inequities persist that could  further add to the challenges and costs the sector faces in  2024. Left unaddressed, the cost of health inequities could  triple to US$1 trillion by 2040—or about US$3,000 a year  for each person.1 The integration of AI and machine learning technologies  can play a key role in addressing these inequities, if  providers work to earn patients’ trust and ensure that they  take steps to mitigate bias within the technology.