Explore articles, research, and perspectives from the International Perfusion Association.
PerfusionGPT is an AI-powered chatbot based on ChatGPT-4, specifically designed to provide expert knowledge for perfusionists in cardiac surgery. It serves as a critical
This study explores the efficacy of using artificial intelligence (autoMAPSE) with transesophageal echocardiography (TEE) to continuously monitor left ventricular (LV) function in postoperative intensive
This study developed a predictive model for perioperative myocardial injury (PMI) using hybrid feature selection (FS) methods in patients undergoing noncoronary cardiac surgery with
This systematic review assesses clinical prediction models (CPMs) that incorporate intra-operative variables to predict outcomes following adult cardiac surgery. It highlights the identification of
Critical care medicine has made significant advancements in the 21st century, notably improving patient outcomes in ICUs. Innovations such as Precision Medicine, Telemedicine, AI-driven
This article explores the role of artificial intelligence, specifically ChatGPT and generative pre-trained transformers, in cardiac surgery and heart transplantation. It discusses the potential
The integration of Artificial Intelligence (AI) into Transcatheter Aortic Valve Replacement (TAVR) is revolutionizing cardiology, offering enhanced patient selection, procedural planning, and post-implantation monitoring.
This study evaluates the effectiveness of OpenAI’s GPT and GPT-4 in streamlining the systematic review process of clinical research papers. By automating the screening
The Apple Vision Pro, with its advanced visual and audio capabilities, offers potential applications in the medical field, including enhanced training, therapeutic tools, and
The article discusses the challenges facing the perfusionist profession, such as advancements in minimally invasive cardiac surgeries and AI, potentially decreasing the demand for
PerfusionGPT is an AI-powered chatbot based on ChatGPT-4, specifically designed to provide expert knowledge for perfusionists in cardiac surgery. It serves as a critical
In a study analyzing 37,473 VV-ECMO patients, machine learning was used to predict acute brain injury (ABI), revealing a 7.1% incidence of ABI and
