About

ML in Health Science (MLHS) is a platform for promoting and publishing ready-to-use, browser-based AI/ML tools for healthcare and research. We focus on real-world utility: apps that can be explored directly on the web, and projects that can be improved through clinician-led feedback and peer review.

Our approach brings clinicians and digital health developers into one community — so that tools are not only innovative, but also practical, reviewable, and easier to adopt in real workflows.

1) Clinicians

• Choose web apps to support everyday questions and help structure clinical workflows.
• Use tools directly in your smartphone browser — without heavy, bureaucratic interfaces.
• Join peer review and help shape what “useful clinical AI” should look like.

2) Researchers

• Build new tools with MLHS apps and make research outputs usable beyond a PDF.
• Share solutions on the web so healthcare practitioners can access them in real-world settings.
• List your web tools in the Apps Hub to increase visibility and adoption.

3) Digital health developers

• Build real clinical-world solutions and improve them through peer review and clinician feedback.
• Publish and iterate toward real-life usability, safety, privacy, and workflow fit.

4) Patients & the public

• Explore patient-facing tools for education, self-assessment, and health information discovery in the browser.
• Use AI search tools to find relevant medical information and resources more efficiently.
• Support shared decision-making by bringing structured questions and summaries to clinical appointments.

5) AI / ML / DeSci enthusiasts

• Become a reviewer and user: explore tools, provide feedback, and support better digital health.
• Contribute to a community focused on practical, web-deployable healthcare innovation.

MLHS is organized into four core areas:  Main,  Apps,  Journal, and  Services.

 Main page (Navigator & updates)

• The main page acts as a navigator and blog: recent publications, app announcements, and community updates.
• It’s your starting point to discover what’s new across MLHS.

 Apps Hub (Explore & list tools)

• The Apps Hub is where apps are collected and presented in one place.
• Apps are based on an account + credits system.
• It can include external peer-reviewed apps (with their own access/paywall processing) and internal MLHS apps (free or payable via MLHS Credits).
• You can purchase credits in your account using supported payment methods and use credits to access credited apps.
• Some MLHS apps let you build and deploy your own web apps, including the MLHS Playground (numerical, image, video, or audio input, where supported).
• Apps created with MLHS can be submitted for listing in the Apps Hub.
• If accepted and usage-based monetization applies, MLHS may share revenue with creators per use (based on the app’s terms).

 Journal (Peer-reviewed publishing)

• Publish peer-reviewed work and practical digital health tools.
• DOI-based publishing with enhanced, interactive editorial presentation.
• Where applicable, publishing can be supported by blockchain/Web3 verification elements.

 Services (Support for your project)

• Get editorial and scientific support for web-based AI/ML and digital health projects.
• Help with publishing readiness, presentation, and real-world alignment.

Note: MLHS tools are designed to support healthcare and research workflows, not replace professional judgment.

• Explore: Discover browser-based tools in the Apps Hub.
• Build: Create your own web apps (e.g., via Playground) and test them in real workflows.
• List: Submit your web app for listing and peer review to reach clinicians and researchers.
• Publish: Share peer-reviewed work through the MLHS Journal.
• Get help: Use Services if you need editorial/scientific support.

Explore the Apps Hub