Web3 Journal: ML in Health Science

About the Journal

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ISSN 2942-8726

The journal reviews and publishes research on AI, machine learning, the metaverse, and Web3 technologies within healthcare settings.

It is part of the ML in Health Science Platform, which is dedicated to building custom, privacy-safe Web ML & AI healthcare applications.

Current Issue

Vol. 1 No. 2 (2024): Evaluation of AI, ML, E-Health, Metaverse, and Web3 Projects
View Vol. 1 No. 2 (2024): Evaluation of AI, ML, E-Health, Metaverse, and Web3 Projects

In this issue, we begin by presenting original projects guided by evidence-based standards in health science.

Published: 15.02.2024

Editorial

  • editorial

    Human-centered Evaluation of AI and ML Projects

    Yury Rusinovich, Alexander Vareiko, Nikita Shestak (Author)
    DOI: https://doi.org/10.62487/ypqhkt57

Opinion Piece

Original Articles

  • emissivity cr

    Emissivity of the Earth as a Cancer Predictor

    Yury Rusinovich, Volha Rusinovich, Markus Doss (Author)
    DOI: https://doi.org/10.62487/em45cr75

  • Smartphone Camera for Angiographic Computer Vision in Vascular Medicine

    Yury Rusinovich, Volha Rusinovich, Markus Doss (Author)
    DOI: https://doi.org/10.62487/82grqt38

Review Articles

  • critical review

    Critical Review on the Contribution of Machine Learning to Health Science

    Neji Hasni (Author)
    DOI: https://doi.org/10.62487/qgpcnt08
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