Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)-Reference-Cited by-同舟云学术

Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)

Published:2022-05-26 Issue:9 Volume:63 Page:1288-1299
ISSN:0161-5505
Container-title:Journal of Nuclear Medicine
language:en
Short-container-title:J Nucl Med

Author:

Jha Abhinav K.,Bradshaw Tyler J.,Buvat Irène,Hatt Mathieu,KC Prabhat,Liu Chi,Obuchowski Nancy F.,Saboury Babak,Slomka Piotr J.,Sunderland John J.,Wahl Richard L.,Yu Zitong,Zuehlsdorff Sven,Rahmim Arman,Boellaard Ronald

Publisher

Society of Nuclear Medicine

Subject

Radiology, Nuclear Medicine and imaging

Reference66 articles.

1. High-performance medicine: the convergence of human and artificial intelligence

2. CT-less direct correction of attenuation and scatter in the image space using deep learning for whole-body FDG PET: potential benefits and pitfalls;Yang;Radiol Artif Intell.,2020

3. AI-based methods for nuclear-medicine imaging: need for objective task-specific evaluation [abstract];Yu;J Nucl Med.,2020

4. A physics-guided modular deep-learning based automated framework for tumor segmentation in PET;Leung;Phys Med Biol.,2020

5. Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning for Automated Interpretation of Fluorodeoxyglucose-Positron Emission Tomography Scans in Lymphoma;Journal of Clinical Oncology;2024-09-01

2. Navigating the Future of Prostate Cancer Care: AI-Driven Imaging and Theranostics Through the Lens of RELAINCE;Journal of Nuclear Medicine;2024-08-29

3. Utilizing artificial intelligence in nuclear medicine: Application and challenges;Journal of Advanced Nursing;2024-08-16

4. Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions;Journal of Medical Internet Research;2024-07-26

5. Technological Advances in SPECT and SPECT/CT Imaging;Diagnostics;2024-07-04