Process Quality Assurance of Artificial Intelligence in Medical Diagnosis-Reference-Cited by-同舟云学术

Process Quality Assurance of Artificial Intelligence in Medical Diagnosis

Published:2024-05-08 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Conference on Intelligent Systems and Computer Vision (ISCV)
language:
Short-container-title:

Author:

Moghadasi Negin¹,Piran Misagh²,Valdez Rupa S.¹,Baek Stephen³,Moghaddasi Negar⁴,Polmateer Thomas L.⁵,Lambert James H.⁶

Affiliation:

1. University of Virginia,Dept. of Systems and Information Engineering,Charlottesville,USA

2. Ruhr University of Bochum,Dept. of Radiology, Nuclear Medicine and Molecular Imaging, Heart and Diabetes Center North-Rhine Westphalia,Bad Oeyhausen,Germany

3. University of Virginia,School of Data Science,Charlottesville,USA

4. Western University of Health Sciences,Dept. of Dentistry,Pomona,USA

5. CCALS University of Virginia,Dept. of Systems and Information Engineering,Charlottesville,USA

6. University of Virginia,Dept. of Systems and Information Engineering

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620018/10620073/10620154.pdf?arnumber=10620154

Reference32 articles.

1. Risk Analysis of Artificial Intelligence in Medicine with a Multilayer Concept of System Order

2. A Machine Learning Challenge: Detection of Cardiac Amyloidosis Based on Bi-Atrial and Right Ventricular Strain and Cardiac Function

3. Machine-Learning-Based Diagnostics of Cardiac Sarcoidosis Using Multi-Chamber Wall Motion Analyses

4. Deep Learning for Heart Sound Analysis: A Literature Review;Zhao;Cardiovascular Medicine,2023

5. Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis