Literature DB >> 35809090

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Dimitris Visvikis1, Philippe Lambin2,3, Kim Beuschau Mauridsen4,5, Roland Hustinx6, Michael Lassmann7, Christoph Rischpler8, Kuangyu Shi5,9, Jan Pruim10.   

Abstract

Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner.
© 2022. The Author(s).

Entities:  

Keywords:  Artificial intelligence; Molecular imaging; Nuclear medicine

Year:  2022        PMID: 35809090     DOI: 10.1007/s00259-022-05891-w

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  43 in total

1.  A comment on replication, p-values and evidence.

Authors:  S N Goodman
Journal:  Stat Med       Date:  1992-05       Impact factor: 2.373

2.  A fast learning algorithm for deep belief nets.

Authors:  Geoffrey E Hinton; Simon Osindero; Yee-Whye Teh
Journal:  Neural Comput       Date:  2006-07       Impact factor: 2.026

3.  Artificial intelligence, machine (deep) learning and radio(geno)mics: definitions and nuclear medicine imaging applications.

Authors:  Dimitris Visvikis; Catherine Cheze Le Rest; Vincent Jaouen; Mathieu Hatt
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-06       Impact factor: 9.236

Review 4.  Machine Learning in Nuclear Medicine: Part 1-Introduction.

Authors:  Carlos F Uribe; Sulantha Mathotaarachchi; Vincent Gaudet; Kenneth C Smith; Pedro Rosa-Neto; François Bénard; Sandra E Black; Katherine Zukotynski
Journal:  J Nucl Med       Date:  2019-02-07       Impact factor: 10.057

Review 5.  Intelligent Imaging in Nuclear Medicine: the Principles of Artificial Intelligence, Machine Learning and Deep Learning.

Authors:  Geoffrey Currie; Eric Rohren
Journal:  Semin Nucl Med       Date:  2020-09-11       Impact factor: 4.446

Review 6.  Artificial Intelligence in Nuclear Medicine.

Authors:  Felix Nensa; Aydin Demircioglu; Christoph Rischpler
Journal:  J Nucl Med       Date:  2019-09       Impact factor: 10.057

Review 7.  Radiomics: Data Are Also Images.

Authors:  Mathieu Hatt; Catherine Cheze Le Rest; Florent Tixier; Bogdan Badic; Ulrike Schick; Dimitris Visvikis
Journal:  J Nucl Med       Date:  2019-09       Impact factor: 10.057

8.  Machine Learning for Predicting Patient Wait Times and Appointment Delays.

Authors:  Catherine Curtis; Chang Liu; Thomas J Bollerman; Oleg S Pianykh
Journal:  J Am Coll Radiol       Date:  2017-10-24       Impact factor: 5.532

9.  International evaluation of an AI system for breast cancer screening.

Authors:  Scott Mayer McKinney; Marcin Sieniek; Varun Godbole; Jonathan Godwin; Natasha Antropova; Hutan Ashrafian; Trevor Back; Mary Chesus; Greg S Corrado; Ara Darzi; Mozziyar Etemadi; Florencia Garcia-Vicente; Fiona J Gilbert; Mark Halling-Brown; Demis Hassabis; Sunny Jansen; Alan Karthikesalingam; Christopher J Kelly; Dominic King; Joseph R Ledsam; David Melnick; Hormuz Mostofi; Lily Peng; Joshua Jay Reicher; Bernardino Romera-Paredes; Richard Sidebottom; Mustafa Suleyman; Daniel Tse; Kenneth C Young; Jeffrey De Fauw; Shravya Shetty
Journal:  Nature       Date:  2020-01-01       Impact factor: 49.962

10.  Transparency and reproducibility in artificial intelligence.

Authors:  Benjamin Haibe-Kains; George Alexandru Adam; Ahmed Hosny; Farnoosh Khodakarami; Levi Waldron; Bo Wang; Chris McIntosh; Anna Goldenberg; Anshul Kundaje; Casey S Greene; Tamara Broderick; Michael M Hoffman; Jeffrey T Leek; Keegan Korthauer; Wolfgang Huber; Alvis Brazma; Joelle Pineau; Robert Tibshirani; Trevor Hastie; John P A Ioannidis; John Quackenbush; Hugo J W L Aerts
Journal:  Nature       Date:  2020-10-14       Impact factor: 69.504

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.