International Perfusion Association


Category: Artificial Intelligence


Can ChatGPT Transform Cardiac Surgery and Heart Transplantation?

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 benefits of AI in enhancing clinical care, decision-making, training, research, and education. However, it also cautions against risks related to validation, ethical challenges, and medicolegal concerns. ChatGPT is presented as a tool to support surgeons, not replace them, emphasizing the importance of human oversight and the nuanced understanding of patient-specific circumstances.


Artificial Intelligence in Transcatheter Aortic Valve Replacement: Its Current Role and Ongoing Challenges

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. As TAVR becomes a viable option for a broader range of patients with severe aortic stenosis, AI’s role in interpreting medical imaging and developing risk models is increasingly critical. This article delves into AI’s current contributions to TAVR and examines the challenges and future directions of its implementation in ensuring optimized patient outcomes.

AI Image

Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study

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 of titles and abstracts against human benchmarks, the models demonstrated high accuracy and efficiency, with an accuracy of 0.91 and a macro F1-score of 0.60. The comparison with human reviewers showed a significant reduction in time and effort, highlighting the models’ potential to improve the quality and reliability of clinical reviews. The findings suggest that GPT models can serve as valuable aids in medical research, enhancing both the speed and accuracy of literature screening.

Apple VR

Apple Vision Pro Initial Perfusionist Review

The Apple Vision Pro, with its advanced visual and audio capabilities, offers potential applications in the medical field, including enhanced training, therapeutic tools, and surgical assistance. However, its high cost and potential discomfort during extended use are significant considerations that may limit its widespread adoption in healthcare settings.


PerfusionGPT Beta Launched on

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 resource for both clinical decision-making and educational purposes in the field of perfusion.


Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis

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 identifying pre-ECMO cardiac arrest as the most significant risk factor. The study’s machine learning models, however, showed sub-optimal performance in predicting ABI, attributed to the low prevalence of ABI and the lack of standardized neuromonitoring and imaging protocols in the ELSO Registry data.

AT Heart

A Review of Top Cardiology and Cardiovascular Medicine Journal Guidelines regarding the use of Generative Artificial Intelligence Tools in Scientific Writing

A review of the top 25 cardiology and cardiovascular medicine journals according to the 2023 SCImago rankings revealed that all allow the use of generative AI in scientific writing within ICMJE limitations, but prohibit AI in authorship, image generation, and peer review processes, requiring authors to take full responsibility for their work. These guidelines are standardized and followed by all studied journals, emphasizing the importance of adhering to and updating these policies to uphold scientific integrity.

Photo Safety GPT

Simulated Cardiopulmonary Bypass: A High Fidelity Model for Developing and Accessing Clinical Perfusion Skills

The study describes a simulated cardiopulmonary bypass (CPB) model integrated into a mock operative theater, aiming to enhance the training of novice perfusionists. Results from 81 participants indicated high fidelity and effectiveness of the simulation in replicating real CPB scenarios and skills, suggesting its potential for educational use in clinical perfusion training.

Chip Heart

Validation of an Automated Artificial Intelligence System for 12‑Lead ECG Interpretation

This study evaluates an AI-powered electrocardiogram (ECG) system with six deep neural networks (DNNs), trained to detect 20 diagnostic patterns in standard 12-lead ECGs, and compares its performance to current computerized interpretation methods. The results show that the AI system outperformed or matched state-of-the-art computerized ECG interpretation in all diagnostic categories, demonstrating its potential as a reliable clinical tool for detecting electrocardiographic abnormalities.


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