Literature DB >> 31991447

Artificial Intelligence Explained for Nonexperts.

Narges Razavian1, Florian Knoll2, Krzysztof J Geras3.   

Abstract

Artificial intelligence (AI) has made stunning progress in the last decade, made possible largely due to the advances in training deep neural networks with large data sets. Many of these solutions, initially developed for natural images, speech, or text, are now becoming successful in medical imaging. In this article we briefly summarize in an accessible way the current state of the field of AI. Furthermore, we highlight the most promising approaches and describe the current challenges that will need to be solved to enable broad deployment of AI in clinical practice. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

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Year:  2020        PMID: 31991447      PMCID: PMC7393604          DOI: 10.1055/s-0039-3401041

Source DB:  PubMed          Journal:  Semin Musculoskelet Radiol        ISSN: 1089-7860            Impact factor:   1.777


  16 in total

Review 1.  Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.

Authors:  Anna Hirschmann; Joshy Cyriac; Bram Stieltjes; Tobias Kober; Jonas Richiardi; Patrick Omoumi
Journal:  Semin Musculoskelet Radiol       Date:  2019-06-04       Impact factor: 1.777

Review 2.  Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift.

Authors:  Joseph E Burns; Jianhua Yao; Ronald M Summers
Journal:  J Bone Miner Res       Date:  2019-08-09       Impact factor: 6.741

3.  Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.

Authors:  Chen Qin; Jo Schlemper; Jose Caballero; Anthony N Price; Joseph V Hajnal; Daniel Rueckert
Journal:  IEEE Trans Med Imaging       Date:  2018-08-06       Impact factor: 10.048

4.  Superhuman AI for multiplayer poker.

Authors:  Noam Brown; Tuomas Sandholm
Journal:  Science       Date:  2019-07-11       Impact factor: 47.728

5.  Image reconstruction by domain-transform manifold learning.

Authors:  Bo Zhu; Jeremiah Z Liu; Stephen F Cauley; Bruce R Rosen; Matthew S Rosen
Journal:  Nature       Date:  2018-03-21       Impact factor: 49.962

6.  Mastering the game of Go without human knowledge.

Authors:  David Silver; Julian Schrittwieser; Karen Simonyan; Ioannis Antonoglou; Aja Huang; Arthur Guez; Thomas Hubert; Lucas Baker; Matthew Lai; Adrian Bolton; Yutian Chen; Timothy Lillicrap; Fan Hui; Laurent Sifre; George van den Driessche; Thore Graepel; Demis Hassabis
Journal:  Nature       Date:  2017-10-18       Impact factor: 49.962

Review 7.  Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions.

Authors:  Soterios Gyftopoulos; Dana Lin; Florian Knoll; Ankur M Doshi; Tatiane Cantarelli Rodrigues; Michael P Recht
Journal:  AJR Am J Roentgenol       Date:  2019-06-05       Impact factor: 3.959

8.  Learning a variational network for reconstruction of accelerated MRI data.

Authors:  Kerstin Hammernik; Teresa Klatzer; Erich Kobler; Michael P Recht; Daniel K Sodickson; Thomas Pock; Florian Knoll
Journal:  Magn Reson Med       Date:  2017-11-08       Impact factor: 4.668

Review 9.  Do no harm: a roadmap for responsible machine learning for health care.

Authors:  Jenna Wiens; Suchi Saria; Anna Goldenberg; Mark Sendak; Marzyeh Ghassemi; Vincent X Liu; Finale Doshi-Velez; Kenneth Jung; Katherine Heller; David Kale; Mohammed Saeed; Pilar N Ossorio; Sonoo Thadaney-Israni
Journal:  Nat Med       Date:  2019-08-19       Impact factor: 53.440

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

Authors:  John R Zech; Marcus A Badgeley; Manway Liu; Anthony B Costa; Joseph J Titano; Eric Karl Oermann
Journal:  PLoS Med       Date:  2018-11-06       Impact factor: 11.069

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  3 in total

Review 1.  Artificial intelligence in paediatric radiology: Future opportunities.

Authors:  Natasha Davendralingam; Neil J Sebire; Owen J Arthurs; Susan C Shelmerdine
Journal:  Br J Radiol       Date:  2020-09-17       Impact factor: 3.039

2.  A No-Math Primer on the Principles of Machine Learning for Radiologists.

Authors:  Matthew D Lee; Mohammed Elsayed; Sumit Chopra; Yvonne W Lui
Journal:  Semin Ultrasound CT MR       Date:  2022-02-11       Impact factor: 1.641

Review 3.  AI MSK clinical applications: spine imaging.

Authors:  Florian A Huber; Roman Guggenberger
Journal:  Skeletal Radiol       Date:  2021-07-15       Impact factor: 2.199

  3 in total

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