Artificial Intelligence (AI) has the potential to transform health care by enhancing diagnostic accuracy, predicting patient outcomes, and developing personalized treatment plans. Machine learning algorithms can analyze vast amounts of medical data, leading to more efficient and precise health care interventions, which could improve patient care and reduce costs. However, implementation of AI in health care also poses challenges related to data privacy concerns, ethical considerations, and the need for robust regulatory frameworks to ensure the responsible and secure use of sensitive medical information. In this session, panelists will speak on the recent advances and use of AI in health care, how it’s integrated into hematology practice by providers, and the use of AI by patients.