Abstract
Cardiovascular physicians today are immersed in a seemingly endless stream of data that require more exquisite interpretation, yet we are expected to perform more efficiently. From whole genome sequencing, to precision medicine, to wearable devices, the answer to incorporating and synthesizing all these data is artificial intelligence (AI). In traditional medicine, information is often reduced to a few easily measurable parameters, and the patient is assigned a diagnosis. However, in AI-assisted medicine, the evaluation can include multimodal input (unstructured clinical data, raw imaging, remote monitoring metrics, wearable devices, clinical signs, and genetic and laboratory data), which can then lead to a new, comprehensive definition of the disease. © 2024 Elsevier Inc. All rights reserved.