Machine learning can leverage FLOW 800 ICG to predict peri-operative ischemic events in patients undergoing STA-MCA bypass surgery.

Background: Despite several decades of clinical research on superficial temporal artery to middle cerebral artery (STA-MCA) bypass surgery, intraoperative vessel-based predictors of peri-operative ischemic events are lacking. Flow 800 is a visualization tool that utilizes indocyanine green (ICG) angiography to deliver real-time data on blood flow and “local perfusion” parameters.... [Read More]

Methods and Impact for Using Federated Learning to Collaborate on Clinical Research

Background: The development of accurate machine learning algorithms requires sufficient quantities of diverse data. This poses a challenge in health care because of the sensitive and siloed nature of biomedical information. Decentralized algorithms through federated learning (FL) avoid data aggregation by instead distributing algorithms to the data before centrally updating... [Read More]