Vol. 1 No. 1 (2024): Why ML in Health Science

View Vol. 1 No. 1 (2024): Why ML in Health Science

This is the first issue of the journal, discussing the balance between humans and machines in healthcare and emphasizing the need for a human-centered approach in AI, ML, E-Health, and Web3 applications.

Published: 14.02.2024

Original Article

  • Prevention of Artificial Intelligence (AI) Misuse in Online Medical Education

    DOI: https://doi.org/10.62487/8ny3zh09
    Yury Rusinovich, Volha Rusinovich (Author)
  • lingrowth

    Impact of Fine-Tuned Machine Translation on Medical Documentation Translation and Client Satisfaction

    DOI: https://doi.org/10.62487/m0brp535
    Alexander Vareiko (Author)

  • Do You Agree with AI Making Decisions About Your Treatment? A Comparative Survey of IT and Healthcare Practitioners

    DOI: https://doi.org/10.62487/m67cnn54
    Yury Rusinovich, Anhelina Rusinovich, Volha Rusinovich (Author)
  • data AI for AI training

    Do You Consent to the Use of Your Biological Data for Training ML and AI Models? Online Survey Targeting Clinicians and Researchers.

    DOI: https://doi.org/10.62487/yyx99243
    Yury Rusinovich, Volha Rusinovich (Author)
  • logo

    Confounders in Predictive Medical Models: Roles of Nationality and Immigrant Status

    DOI: https://doi.org/10.62487/vc54ms96
    Yury Rusinovich, Volha Rusinovich (Author)
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  • confounder religion

    Confounders in Predictive Medical Models: The Role of Religion

    DOI: https://doi.org/10.62487/2rm68r13
    Yury Rusinovich, Volha Rusinovich (Author)

Editorial

  • editorial

    Why "ML in Health Science"

    DOI: https://doi.org/10.62487/e4ccm968
    Yury Rusinovich (Author)