Editorial & Fact-Checking Policy

Effective Date: May 16, 2026

Publication: NeuralRounds.com

At Neural Rounds, we sit at the intersection of fast-moving computational engineering and high-stakes clinical medicine. Because our insights directly impact medical professionals, health-tech innovators, and hospital leadership, we adhere to rigorous journalistic, academic, and clinical data verification standards.

We firmly believe that healthcare technology must be evaluated with the same scientific skepticism as a new pharmaceutical agent. This policy outlines our multi-tiered framework for ensuring absolute accuracy, objectivity, and reliability.

1. The “Human-in-the-Loop” Mandate

While we extensively cover artificial intelligence, Large Language Models (LLMs), and automated clinical workflows, Neural Rounds completely rejects fully automated content generation for clinical reporting.

  • Every article, review, case study, and software breakdown published on this platform is researched, drafted, and verified by credentialed clinical experts.
  • We utilize advanced digital tools to synthesize technical white papers and sift through regulatory datasets, but a qualified human clinician sits at the terminal of every piece of analysis before it goes live.

2. Clinical Evaluation Metrics (The EBM Framework)

When reviewing algorithms or digital health solutions for The AI Tool Index, our editorial team looks past marketing brochures. We evaluate technology through the strict prism of Evidence-Based Medicine (EBM). Our review scorecards assess:

  • Algorithmic Transparency: Does the developer provide clear data regarding their training architecture, or is it a non-transparent “black box”?
  • Statistical Validation: We analyze and report the core diagnostic metrics—specifically looking for sensitivity, specificity, positive predictive value (PPV), and Area Under the ROC Curve (AUC) data.
  • Out-of-Distribution Performance: We verify whether the AI has been validated across diverse, multi-center hospital trial datasets, or if its accuracy is restricted to a narrow, single-institution cohort.

3. Sourcing and Citation Standards

Tech blogs link to other blogs. Neural Rounds links exclusively to primary evidence. When referencing clinical trials, algorithmic performance, or federal clearances, our writers must hyperlink directly to authoritative primary sources:

  • Peer-Reviewed Research: Direct indexing via PubMed IDs (PMIDs) or digital object identifiers (DOIs).
  • Technical Preprints: High-fidelity repositories such as arXiv or bioRxiv for cutting-edge models.
  • Regulatory Portals: Official documentation from the United States Food and Drug Administration (FDA) 510(k) clearances, CE mark notifications, or local health ministry mandates.

4. Corrections and Post-Publication Updates

Medicine and artificial intelligence both evolve at a breakneck pace. An accuracy score published three months ago might change completely following an algorithmic patch or a newly published multi-center trial.

  • Dynamic Maintenance: We actively audit and update our core archive pages. When a major structural update occurs to a reviewed tool, we adjust the scorecard and log the modification date clearly at the top of the article.
  • Correction Protocols: If a factual error is discovered or brought to our attention by readers or tech vendors, we investigate immediately. Verified errors are corrected within 24 hours, and a clear transparency note detailing the correction is attached to the bottom of the piece.

5. Reporting Mistakes or Submitting Feedback

We welcome peer reviews from the global medical and machine-learning communities. If you spot a data discrepancy or wish to challenge an editorial evaluation, please reach out directly to our verification desk:

  • Email: editorial@neuralrounds.com
  • Subject Line: Editorial Clarification Request: [Article Title]