Artificial intelligence, which recognizes patterns in data, images, and sound, is poised to move from the laboratory to the clinic and may upend health delivery in the process. Soon, AI may generate algorithms to calculate an individual patient’s risk of hospital-acquired infection, based on vital signs and other health records, and to predict when it is safe to remove someone from a ventilator. In oncology, machine learning models are likely to inform disease prevention and allow for earlier diagnoses and treatment. Coupled with an exponential increase in computer power, these technologies will also broaden the accuracy and application of genomic research. Where will all of this lead?