Accelerating the Translation of Artificial Intelligence From Ideas to Routine Clinical Workflow-Reference-Cited by-同舟云学术

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Accelerating the Translation of Artificial Intelligence From Ideas to Routine Clinical Workflow

Published:2020-01 Issue:1 Volume:27 Page:121-122
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Lin MingDe^ORCID

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference11 articles.

1. Artificial intelligence in radiology: summary of the AUR academic radiology and industry leaders roundtable;Chan;Acad Radiol,2020

2. BiOethics, the law, and data-sharing: AI in radiology (BOLD AIR) summit,2019

3. Translating technologies to end users—academic-industrial partnership grants;Baker,2019

4. Fund NIoH-OoSC-TC. Common Fund Journal Editors’ Workshops - Executive Summary. 2019.

5. Strategy NIoH-OoDS. NIH Strategic Plan for Data Science. 2018.

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1. Federated learning review: Fundamentals, enabling technologies, and future applications;Information Processing & Management;2022-11

2. Clinical implementation of artificial intelligence in neuroradiology with development of a novel workflow-efficient picture archiving and communication system-based automated brain tumor segmentation and radiomic feature extraction;Frontiers in Neuroscience;2022-10-13

3. Translatability Analysis of National Institutes of Health–Funded Biomedical Research That Applies Artificial Intelligence;JAMA Network Open;2022-01-24

4. Quantitative Automated Segmentation of Lipiodol Deposits on Cone-Beam CT Imaging Acquired during Transarterial Chemoembolization for Liver Tumors: A Deep Learning Approach;Journal of Vascular and Interventional Radiology;2021-12

5. System Analysis of Technology Transfer Policies and Models in Higher Education;International Series in Operations Research & Management Science;2021

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