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

Editorial

  • editorial

    Why "ML in Health Science"

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

Original Article

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

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

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

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

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

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

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

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

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

    Confounders in Predictive Medical Models: The Role of Religion

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