Deep Learning Meets Cardiology - UCLA Resident, Danny Kim's Approach to Waveform Analysis скачать в хорошем качестве

Deep Learning Meets Cardiology - UCLA Resident, Danny Kim's Approach to Waveform Analysis

UCLA Researcher, Danny Kim, working under the guidance of Professor Maxime Cannesson at UCLA’s Department of Anesthesiology, is helping lead a groundbreaking advancement in surgical care using artificial intelligence. Kim and the research team have developed a deep learning model capable of estimating vital cardiovascular pressures—specifically pulmonary arterial pressure (PAP) and central venous pressure (CVP)—using only minimally invasive inputs. By leveraging data from standard tools like ECG, PPG, and arterial blood pressure monitors, this AI system offers continuous, real-time insight into patient status without the risks associated with traditional catheter-based methods. This innovation promises a safer, smarter way to monitor high-risk patients during surgery—paving the way for a new standard in intra-operative care. Find out more here: https://ucla.technologypublisher.com/... Visit UCLA TDG website https://tdg.ucla.edu/