Web3 Journal: ML in Health Science
The peer-reviewed journal publishes research on machine learning, AI, digital applications, metaverse, Web and Web3 technologies, robotics, and bionics 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.
The journal is built on a decentralized Web3 infrastructure, rewarding peer reviewers with native MLHS Token and ensuring a transparent publishing process.
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Latest Articles
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Application of a Modified SegFormer Architecture for Gleason Pattern Segmentation
Vadzim Ermakou, Ivan Kosik, Artsiom Nedzvedz, Ryhor Karapetsian , Tatsiana LiatkouskayaDOI: 10.62487/vwh3sv35Published on: October 16, 2024
Category: Original Article
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Critical Review on the Contribution of Machine Learning to Health Science
Neji HasniDOI: 10.62487/qgpcnt08Published on: May 20, 2024
Category: Review Article
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Smartphone Camera for Angiographic Computer Vision in Vascular Medicine
Yury Rusinovich, Volha Rusinovich, Markus DossDOI: 10.62487/82grqt38Published on: May 3, 2024
Category: Original Article
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Xavatar: A Web3 Metaverse Application as a support for Patients with Mobility Disorders
Jason P. Rothberg, Dr. Colin Keogh, Yury RusinovichDOI: 10.62487/gq9wh015Published on: April 24, 2024
Category: Opinion Piece
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@AI_4_Healthcare: Learning about #aiinhealthcare applications for Patients, Clinicians, Administrators, Researchers, Media, and Humanity.
Walter Robinson, Yury RusinovichDOI: 10.62487/8xheap61Published on: March 30, 2024
Category: Opinion Piece
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Emissivity of the Earth as a Cancer Predictor
Yury Rusinovich, Volha Rusinovich, Markus DossDOI: 10.62487/em45cr75Published on: March 19, 2024
Category: Original Article
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Human-centered Evaluation of AI and ML Projects
Yury Rusinovich, Alexander Vareiko, Nikita ShestakDOI: 10.62487/ypqhkt57Published on: February 15, 2024
Category: Editorial
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Confounders in Predictive Medical Models: The Role of Religion
Yury Rusinovich, Volha RusinovichDOI: 10.62487/2rm68r13Published on: February 13, 2024
Category: Original Article
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Confounders in Predictive Medical Models: Roles of Nationality and Immigrant Status
Yury Rusinovich, Volha RusinovichDOI: 10.62487/vc54ms96Published on: February 7, 2024
Category: Original Article
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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 RusinovichDOI: 10.62487/yyx99243Published on: January 27, 2024
Category: Original Article
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Do You Agree with AI Making Decisions About Your Treatment? A Comparative Survey of IT and Healthcare Practitioners
Yury Rusinovich, Anhelina Rusinovich, Volha RusinovichDOI: 10.62487/m67cnn54Published on: January 22, 2024
Category: Original Article
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Impact of Fine-Tuned Machine Translation on Medical Documentation Translation and Client Satisfaction
Alexander VareikoDOI: 10.62487/m0brp535Published on: January 21, 2024
Category: Original Article
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Prevention of Artificial Intelligence (AI) Misuse in Online Medical Education
Yury Rusinovich, Volha RusinovichDOI: 10.62487/8ny3zh09Published on: January 7, 2024
Category: Original Article
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Why "ML in Health Science"
Yury RusinovichDOI: 10.62487/e4ccm968Published on: January 1, 2024
Category: Editorial
Archives
Why ML in Health Science
Vol. 1 No. 1 (2024)
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.
Evaluation of AI, ML, E-Health, Metaverse, and Web3 Projects
Vol. 1 No. 2 (2024)
In this issue, we begin by presenting original projects guided by evidence-based standards in health science.
