Decision Support Tools, Systems, and Artificial Intelligence in Cardiac Imaging

Publication date: Available online 9 May 2018 Source:Canadian Journal of Cardiology Author(s): Samia Massalha, Owen Clarkin, Rebecca Thornhill, Glenn Wells, Benjamin J.W. Chow Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac patients. The increasing demand for cardiac imaging begins to exceed the number of available interpreting physicians, leaving less time to interpret studies. In addition, the busy clinician is facing the increasingly daunting task of keeping abreast of current medical advancements and the ongoing changes in disease diagnosis and therapy. Committing to memory and recalling such large volumes of information is challenging and is responsible for difficulties in adopting the rapid changes in imaging practice. The is likely partially responsible for errors in patient diagnosis and management. Diagnostic errors rank high in the cause of death in the United States, and are more common than any other medical error and are responsible for the majority of malpractice claims. The vast majority of these errors are related to cognitive errors. A potential method to potentially prevent such errors is through the use of artificial intelligence [AI] systems which can serve as complementary methods to assist humans with decision making. Teaser Noninvasive cardiac imaging is widely used for the diagnosis and management of cardiac patients. The increasing demand for cardiac imaging together with the ongoing change in disease diag...
Source: Canadian Journal of Cardiology - Category: Cardiology Source Type: research