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MedAxis is a bimonthly academic journal dedicated to the forefront of medical research, focusing on the interdisciplinary integration of medicine, clinical practice, public health, data science, and artificial intelligence. In an era of rapid advancements in medical technology, the journal stays at the cutting edge, striving to establish a high-level platform for academic exchange and foster collaborative innovation across multiple disciplines.
No research is perfect.
That's why ours lives in the open.
Working drafts. Null results. Honest revisions. All welcome.
MedAxis doesn't accept or reject. We publish imperfect work, review it in public, and let twelve AI Agents and three thousand readers help authors make the imperfect a little less imperfect — together, openly, every single day.
No paper is perfect.
No study is finished.
No reviewer is infallible.
No journal should pretend otherwise.
The replication crisis didn't happen because researchers were sloppy. It happened because journals only published the parts that looked clean. MedAxis publishes the messy middle — and trusts the community to refine it.
Three Pillars. One Honest Journal.
MedAxis is not a faster version of an old journal. It's a different machine — designed from scratch around three principles modern science has been quietly asking for.
Public Peer Review
Every review, every editorial assessment, every reader comment lives on the article page — permanently, citably, transparently.
- Named or anonymous expert reviews, visible to all
- ORCID-verified reader comments count as review
- Concerns auto-surface as banners on the article
We Accept Imperfection
Real science is iterative. We welcome pilot data, null results, replication attempts, and clearly-labeled Working Manuscripts — because hiding the messy parts is what produced the replication crisis.
- Working Manuscripts evolve through v1 → v2 → v3
- Null results and failed replications welcomed
- Self-disclosed limitations are required, not penalized
Governed by AI Agents
Twelve specialized AI Agents — not a single human editor's mood — run methods checks, image forensics, statistical audits, and reproducibility tests. Rules, not relationships, decide your fate.
- Explainable: every Agent decision is public & cite-able
- Auditable: rules are versioned via public RFC
- Appealable: any AI judgment can be challenged openly
Twelve specialized Agents. Every manuscript. Every time.
Each Agent runs in parallel within hours of submission, produces a public report, and is governed by versioned, auditable rules.
Triage Agent
Scope, ethics & minimum readiness screen.
Methods Agent
CONSORT / STROBE / PRISMA / ARRIVE compliance scoring.
Statistics Agent
p-hacking, effect sizes, multiple-comparison sanity checks.
Image Forensics Agent
Detects splicing, duplication, Western blot anomalies.
Ethics Agent
IRB, consent, animal welfare, COI, AI disclosure.
Clinical Plausibility Agent
Drug dosing, patient counts, clinical pathway sanity.
Reproducibility Agent
Open data & code presence, executability score.
Literature Context Agent
Novelty, overlap, citation verification (no fake refs).
Language & Clarity Agent
Clarity, terminology, translation quality.
Reader Sentiment Agent
Synthesizes community concerns into a live summary.
Replication Tracker
Continuously tracks replication attempts worldwide.
Editorial Decision Agent
Synthesizes Agent outputs into an explainable decision.
Research Areas We Publish
MedAxis welcomes original research, reviews, and clinical insights across four interlocking domains that define modern medicine.
Clinical Medicine
Randomized trials, cohort studies, surgical innovations, and evidence-based clinical practice across all specialties.
Public Health
Epidemiology, health policy, population-scale interventions, and global health equity research.
Data Science
Biostatistics, real-world evidence, electronic health records, and reproducible computational pipelines.
AI in Medicine
Clinical machine learning, foundation models, diagnostic imaging, and responsible deployment of AI in healthcare.
Beyond the "Polished Research Article"
Like GitHub treats code, MedAxis treats research: version-controlled, iteration-friendly, honest about its state.
Research Article
Complete original studies, peer-reviewed in public.
Working Manuscript
In-progress drafts. Versioned. Iterates with community input.
Null Result Report
Negative or null findings, equally welcomed.
Replication Report
Reproductions — successful, partial, or failed.
Pilot Study
Exploratory small-sample work, openly labeled.
Living Review
Reviews that keep updating as the field moves.
Clinical Perspective
500–1500 word notes from the bedside.
Data & Code Note
Open datasets and pipelines as first-class citations.
Ten things we will never compromise on.
To Readers
- We will never hide a review, an AI Agent report, or a concern.
- We will never close a discussion thread on a paper, ever.
- We will display every concern as prominently as the paper itself.
- We will publish our AI Agent rules, versions, and audits openly.
To Authors
- We will not reject your paper for being imperfect — we will help you make it less imperfect.
- We will not let a human editor's mood or network decide your fate. Rules will.
- We will give you a transparent, AI-explained decision within 72 hours.
- We will let you appeal any AI judgment publicly.
To Science
- We will treat retraction as honesty, not shame.
- We will treat negative results, failed replications, and Working Manuscripts as first-class citizens.
Because medicine is too important to be reviewed in private, by three reviewers, in 1665's workflow.
For the MedAxis Community
Submit a manuscript — even an imperfect one
Working drafts, null results, and replication attempts all welcome. AI Triage in under 30 minutes; Reviewed Preprint live in 72 hours.
Author GuidelinesReview in the open. Be cited for it.
Reviewers at MedAxis are credited (named or anonymous, their choice) and their reviews are permanently citable as DOI-bearing works.
Register as ReviewerYour ORCID comment is part of the literature
Verified readers — clinicians, researchers, students — comment under ORCID identity. High-value concerns surface as banners on the article.
Join the Discussion
Three reviewers couldn't catch it.
Twelve AI Agents and three thousand readers can.
MedAxis · The AI-Era Medical Journal