Literature DB >> 33937821

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.

John Mongan1, Linda Moy1, Charles E Kahn1.   

Abstract

Year:  2020        PMID: 33937821      PMCID: PMC8017414          DOI: 10.1148/ryai.2020200029

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN: 2638-6100


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  24 in total

1.  Sample size estimation: how many individuals should be studied?

Authors:  John Eng
Journal:  Radiology       Date:  2003-05       Impact factor: 11.105

2.  A systematic guide to reviewing a manuscript.

Authors:  James M Provenzale; Robert J Stanley
Journal:  AJR Am J Roentgenol       Date:  2005-10       Impact factor: 3.959

3.  Improving the quality of reporting of randomized controlled trials. The CONSORT statement.

Authors:  C Begg; M Cho; S Eastwood; R Horton; D Moher; I Olkin; R Pitkin; D Rennie; K F Schulz; D Simel; D F Stroup
Journal:  JAMA       Date:  1996-08-28       Impact factor: 56.272

4.  Bending the Artificial Intelligence Curve for Radiology: Informatics Tools From ACR and RSNA.

Authors:  Marc Kohli; Tarik Alkasab; Ken Wang; Marta E Heilbrun; Adam E Flanders; Keith Dreyer; Charles E Kahn
Journal:  J Am Coll Radiol       Date:  2019-07-15       Impact factor: 5.532

5.  Automated extraction of critical test values and communications from unstructured radiology reports: an analysis of 9.3 million reports from 1990 to 2011.

Authors:  Paras Lakhani; Woojin Kim; Curtis P Langlotz
Journal:  Radiology       Date:  2012-09-05       Impact factor: 11.105

6.  Reporting medical research.

Authors:  I Simera; D G Altman
Journal:  Int J Clin Pract       Date:  2013-05-09       Impact factor: 2.503

7.  Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Authors:  J Raymond Geis; Adrian P Brady; Carol C Wu; Jack Spencer; Erik Ranschaert; Jacob L Jaremko; Steve G Langer; Andrea Borondy Kitts; Judy Birch; William F Shields; Robert van den Hoven van Genderen; Elmar Kotter; Judy Wawira Gichoya; Tessa S Cook; Matthew B Morgan; An Tang; Nabile M Safdar; Marc Kohli
Journal:  Radiology       Date:  2019-10-01       Impact factor: 11.105

8.  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 9.  Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet
Journal:  Radiology       Date:  2003-01       Impact factor: 11.105

Review 10.  Connecting Technological Innovation in Artificial Intelligence to Real-world Medical Practice through Rigorous Clinical Validation: What Peer-reviewed Medical Journals Could Do.

Authors:  Seong Ho Park; Herbert Y Kressel
Journal:  J Korean Med Sci       Date:  2018-04-27       Impact factor: 2.153

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  102 in total

1.  Are Artificial Intelligence Challenges Becoming Radiology's New "Bee's Knees"?

Authors:  Hesham Elhalawani; Raymond Mak
Journal:  Radiol Artif Intell       Date:  2021-04-21

Review 2.  Radiomics can differentiate high-grade glioma from brain metastasis: a systematic review and meta-analysis.

Authors:  Yuanzhen Li; Yujie Liu; Yingying Liang; Ruili Wei; Wanli Zhang; Wang Yao; Shiwei Luo; Xinrui Pang; Ye Wang; Xinqing Jiang; Shengsheng Lai; Ruimeng Yang
Journal:  Eur Radiol       Date:  2022-05-19       Impact factor: 5.315

3.  Validation of a machine learning software tool for automated large vessel occlusion detection in patients with suspected acute stroke.

Authors:  Petra Cimflova; Rotem Golan; Johanna M Ospel; Alireza Sojoudi; Chris Duszynski; Ibukun Elebute; Houssam El-Hariri; Seyed Hossein Mousavi; Luis A Souto Maior Neto; Najratun Pinky; Benjamin Beland; Fouzi Bala; Nima R Kashani; William Hu; Manish Joshi; Wu Qiu; Bijoy K Menon
Journal:  Neuroradiology       Date:  2022-05-24       Impact factor: 2.804

4.  Current applications and development of artificial intelligence for digital dental radiography.

Authors:  Ramadhan Hardani Putra; Chiaki Doi; Nobuhiro Yoda; Eha Renwi Astuti; Keiichi Sasaki
Journal:  Dentomaxillofac Radiol       Date:  2021-07-08       Impact factor: 2.419

5.  Artificial Intelligence and Radiomics in Head and Neck Cancer Care: Opportunities, Mechanics, and Challenges.

Authors:  Lisanne V van Dijk; Clifton D Fuller
Journal:  Am Soc Clin Oncol Educ Book       Date:  2021-03

6.  Prognostic models for knee osteoarthritis: a protocol for systematic review, critical appraisal, and meta-analysis.

Authors:  Jingyu Zhong; Liping Si; Guangcheng Zhang; Jiayu Huo; Yue Xing; Yangfan Hu; Huan Zhang; Weiwu Yao
Journal:  Syst Rev       Date:  2021-05-19

Review 7.  The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up.

Authors:  Radouane El Ayachy; Nicolas Giraud; Paul Giraud; Catherine Durdux; Philippe Giraud; Anita Burgun; Jean Emmanuel Bibault
Journal:  Front Oncol       Date:  2021-05-05       Impact factor: 6.244

8.  The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset.

Authors:  Arjun D Desai; Francesco Caliva; Claudia Iriondo; Aliasghar Mortazi; Sachin Jambawalikar; Ulas Bagci; Mathias Perslev; Christian Igel; Erik B Dam; Sibaji Gaj; Mingrui Yang; Xiaojuan Li; Cem M Deniz; Vladimir Juras; Ravinder Regatte; Garry E Gold; Brian A Hargreaves; Valentina Pedoia; Akshay S Chaudhari
Journal:  Radiol Artif Intell       Date:  2021-02-10

Review 9.  Requirements and reliability of AI in the medical context.

Authors:  Yoganand Balagurunathan; Ross Mitchell; Issam El Naqa
Journal:  Phys Med       Date:  2021-03-13       Impact factor: 2.685

10.  CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies.

Authors:  Salvatore Gitto; Renato Cuocolo; Domenico Albano; Francesco Morelli; Lorenzo Carlo Pescatori; Carmelo Messina; Massimo Imbriaco; Luca Maria Sconfienza
Journal:  Insights Imaging       Date:  2021-06-02
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