Literature DB >> 31908355

Machine learning in rheumatology approaches the clinic.

Aridaman Pandit1, Timothy R D J Radstake2.   

Abstract

Mesh：

Year:  2020        PMID： 31908355     DOI： 10.1038/s41584-019-0361-0

Source DB:  PubMed          Journal:  Nat Rev Rheumatol        ISSN： 1759-4790            Impact factor:   20.543


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  10 in total

1.  A convolutional neural network with transfer learning for automatic discrimination between low and high-grade synovitis: a pilot study.

Authors:  Vincenzo Venerito; Orazio Angelini; Gerardo Cazzato; Giuseppe Lopalco; Eugenio Maiorano; Antonietta Cimmino; Florenzo Iannone
Journal:  Intern Emerg Med       Date:  2021-01-02       Impact factor: 3.397

Review 2.  Machine Learning in Rheumatic Diseases.

Authors:  Mengdi Jiang; Yueting Li; Chendan Jiang; Lidan Zhao; Xuan Zhang; Peter E Lipsky
Journal:  Clin Rev Allergy Immunol       Date:  2021-02       Impact factor: 8.667

3.  A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients.

Authors:  Francesca Arezzo; Gennaro Cormio; Daniele La Forgia; Carla Mariaflavia Santarsiero; Michele Mongelli; Claudio Lombardi; Gerardo Cazzato; Ettore Cicinelli; Vera Loizzi
Journal:  Arch Gynecol Obstet       Date:  2022-05-09       Impact factor: 2.493

Review 4.  An introduction to machine learning and analysis of its use in rheumatic diseases.

Authors:  Kathryn M Kingsmore; Christopher E Puglisi; Amrie C Grammer; Peter E Lipsky
Journal:  Nat Rev Rheumatol       Date:  2021-11-02       Impact factor: 20.543

5.  Complex Machine-Learning Algorithms and Multivariable Logistic Regression on Par in the Prediction of Insufficient Clinical Response to Methotrexate in Rheumatoid Arthritis.

Authors:  Helen R Gosselt; Maxime M A Verhoeven; Maja Bulatović-Ćalasan; Paco M Welsing; Maurits C F J de Rotte; Johanna M W Hazes; Floris P J G Lafeber; Mark Hoogendoorn; Robert de Jonge
Journal:  J Pers Med       Date:  2021-01-14

6.  Precision medicine and machine learning towards the prediction of the outcome of potential celiac disease.

Authors:  Francesco Piccialli; Francesco Calabrò; Danilo Crisci; Salvatore Cuomo; Edoardo Prezioso; Roberta Mandile; Riccardo Troncone; Luigi Greco; Renata Auricchio
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

7.  Artificial intelligence, machine learning, and deep learning for clinical outcome prediction.

Authors:  Rowland W Pettit; Robert Fullem; Chao Cheng; Christopher I Amos
Journal:  Emerg Top Life Sci       Date:  2021-12-20

8.  Use of machine learning in osteoarthritis research: a systematic literature review.

Authors:  Encarnita Mariotti-Ferrandiz; Jérémie Sellam; Marie Binvignat; Valentina Pedoia; Atul J Butte; Karine Louati; David Klatzmann; Francis Berenbaum
Journal:  RMD Open       Date:  2022-03

9.  Machine learning predicts response to TNF inhibitors in rheumatoid arthritis: results on the ESPOIR and ABIRISK cohorts.

Authors:  Vincent Bouget; Julien Duquesne; Signe Hassler; Paul-Henry Cournède; Bruno Fautrel; Francis Guillemin; Marc Pallardy; Philippe Broët; Xavier Mariette; Samuel Bitoun
Journal:  RMD Open       Date:  2022-08

10.  Biological and Clinical Changes in a Pediatric Series Treated with Off-Label JAK Inhibitors.

Authors:  Alessia Pin; Alessandra Tesser; Serena Pastore; Valentina Moressa; Erica Valencic; Anna Arbo; Alessandra Maestro; Alberto Tommasini; Andrea Taddio
Journal:  Int J Mol Sci       Date:  2020-10-20       Impact factor: 5.923
  10 in total

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