A scientific publications platform focused on research and applications for the Health, Technology and Science community

We are currently accepting manuscript submissions. Health Tech Science Journal combines a streamlined, rigorous editorial process with an innovative triple-blind peer review methodology — integrating local, multi-LLM pre-screening with expert human reviewers — to ensure both speed and scientific integrity. Author information is stripped during all stages and added back after approval.

AI-Assisted Publishing Flow

Simulation of the triple-blind AI and human review process.

Submit your manuscript
Suggestions
Author sends
Anonymization (local AI)
AI Review
Local LLM 1Local LLM 2Local LLM 3
Check
Human Review
Human Reviewer 1Human Reviewer 2Human Reviewer 3
Editor
De-anonymization
Publication

Flow status

Waiting for the simulation to start.

  • Author sends
  • Anonymization (local AI)
  • AI Review
  • Check
  • Human Review
  • Editor
  • De-anonymization
  • Publication

Boos R.M. [Local AI pre-screening for human triple-blind peer review in health sciences]. Health Tech Science [Internet]. 2026 [cited 03 July 2026]. DOI 10.5281/zenodo.21365017. Available from: https://www.healthtechscience.org/

Thanks to AI-assisted pre-screening, initial editorial feedback is typically faster than traditional processes

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