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A Scoping Review of the Use of Blockchain and Machine Learning in Medical Imaging Applications

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Good Practices and New Perspectives in Information Systems and Technologies (WorldCIST 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 986))

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Abstract

This scoping review systematizes the current research related to the use of both blockchain and machine learning techniques in medical imaging applications. A systematic electronic search was performed, and twenty-five studies were included in the review. These studies aimed to use blockchain and machine learning techniques to provide (i) efficient security mechanisms to support the communication of medical imaging data, (ii) aggregation of distributed medical imaging data to train machine learning algorithms, and (iii) machine learning algorithms based on federated learning strategies. Among the ten machine learning techniques identified in the included studies, Convolutional Neural Network was the most representative (i.e., 44% of the studies). Moreover, Artificial Neural Network, Capsule Network, Deep Neural Network, Gated Recurrent Units, and Neural Network were machine learning techniques used by more than one study. Although the included studies developed algorithms with potential impact in clinical practice, it must be noted that they did not discuss the generalizability of their algorithms in real-world clinical conditions.

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Author information

Authors and Affiliations

  1. Science and Technology School, INESC-TEC, University of Trás-Os-Montes and Alto Douro, Vila Real, Portugal

    João Pavão

  2. Science and Technology School, UNIDCOM, University of Trás-Os-Montes and Alto Douro, Vila Real, Portugal

    Rute Bastardo

  3. Department of Medical Sciences, IEETA, University of Aveiro, Aveiro, Portugal

    Nelson Pacheco Rocha

Authors
  1. João Pavão
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  2. Rute Bastardo
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  3. Nelson Pacheco Rocha
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Corresponding author

Correspondence to Nelson Pacheco Rocha .

Editor information

Editors and Affiliations

  1. ISEG, Universidade de Lisboa, Lisbon, Portugal

    Álvaro Rocha

  2. College of Engineering, The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

  3. Institute of Data Science and Digital Technologies, Vilnius University, Vilnius, Lithuania

    Gintautas Dzemyda

  4. DCT, Universidade Portucalense, Porto, Portugal

    Fernando Moreira

  5. Institute of Information Technology, Lodz University of Technology, Łódz, Poland

    Aneta Poniszewska-Marańda

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Pavão, J., Bastardo, R., Rocha, N.P. (2024). A Scoping Review of the Use of Blockchain and Machine Learning in Medical Imaging Applications. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-031-60218-4_11

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