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Literature DB >> 34794879

What's Needed to Bridge the Gap Between US FDA Clearance and Real-world Use of AI Algorithms.

MingDe Lin¹.

Abstract

Entities: Chemical

Mesh：

Year: 2021 PMID： 34794879 PMCID： PMC8903084 DOI： 10.1016/j.acra.2021.10.007

Source DB: PubMed Journal: Acad Radiol ISSN： 1076-6332 Impact factor: 3.173

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4 in total

1. Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board.

Authors: David A Bluemke; Linda Moy; Miriam A Bredella; Birgit B Ertl-Wagner; Kathryn J Fowler; Vicky J Goh; Elkan F Halpern; Christopher P Hess; Mark L Schiebler; Clifford R Weiss
Journal: Radiology Date: 2019-12-31 Impact factor: 11.105

Review 2. FDA-regulated AI Algorithms: Trends, Strengths, and Gaps of Validation Studies.

Authors: Shadi Ebrahimian; Mannudeep K Kalra; Sheela Agarwal; Bernardo C Bizzo; Mona Elkholy; Christoph Wald; Bibb Allen; Keith J Dreyer
Journal: Acad Radiol Date: 2021-12-27 Impact factor: 3.173

Review 3. A short guide for medical professionals in the era of artificial intelligence.

Authors: Bertalan Meskó; Marton Görög
Journal: NPJ Digit Med Date: 2020-09-24

Review 4. Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine.

Authors: Filippo Pesapane; Marina Codari; Francesco Sardanelli
Journal: Eur Radiol Exp Date: 2018-10-24

4 in total

3 in total

Review 1. Machine Learning Tools for Image-Based Glioma Grading and the Quality of Their Reporting: Challenges and Opportunities.

Authors: Sara Merkaj; Ryan C Bahar; Tal Zeevi; MingDe Lin; Ichiro Ikuta; Khaled Bousabarah; Gabriel I Cassinelli Petersen; Lawrence Staib; Seyedmehdi Payabvash; John T Mongan; Soonmee Cha; Mariam S Aboian
Journal: Cancers (Basel) Date: 2022-05-25 Impact factor: 6.575

2. Addressing fairness in artificial intelligence for medical imaging.

Authors: Rodrigo Echeveste; Enzo Ferrante; María Agustina Ricci Lara
Journal: Nat Commun Date: 2022-08-06 Impact factor: 17.694

Review 3. Machine Learning Applications for Differentiation of Glioma from Brain Metastasis-A Systematic Review.

Authors: Leon Jekel; Waverly R Brim; Marc von Reppert; Lawrence Staib; Gabriel Cassinelli Petersen; Sara Merkaj; Harry Subramanian; Tal Zeevi; Seyedmehdi Payabvash; Khaled Bousabarah; MingDe Lin; Jin Cui; Alexandria Brackett; Amit Mahajan; Antonio Omuro; Michele H Johnson; Veronica L Chiang; Ajay Malhotra; Björn Scheffler; Mariam S Aboian
Journal: Cancers (Basel) Date: 2022-03-08 Impact factor: 6.639

3 in total