AI just at the early stages of showing real results

Artificial intelligence--a broad set of technologies that enable machines to mimic the human brain's ability to process information, learn and adapt--holds potential in healthcare to improve patient outcomes and reduce costs, but it hasn't yet been widely adopted in daily clinical practice. However, some leading healthcare organizations, such as the Cleveland Clinic, Intermountain Healthcare and others, are beginning to build the infrastructure and data science capabilities to use AI to deliver clinical and financial benefits. While some industries are using AI programs designed to recognize speech, written language or visual data or do problem-solving, health systems are gaining experience with machine learning, a subset of AI focused on finding patterns or relationships in data in an iterative, or learning, fashion. Early projects have demonstrated promising results. In some of these cases, healthcare organizations have purchased a commercial tool to help them reach a specific clinical goal, such as reducing hospital readmission rates or predicting which patients are at highest risk of becoming expensive cases.