The Need for Continuous Evaluation of Artificial Intelligence Prediction Algorithms.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

5 citing papers in PubMed.

1. Physician-Reported Safety Outcomes of AI-Generated Hospital Course Summaries.JAMA network open · 2026
   Article
2. Human-centered AI in healthcare teams: integrating clinical oversight, EHR auditability, and reimbursement pathways for responsible adoption.Frontiers in digital health · 2026
   Review
3. Transparency of medical artificial intelligence systems.Nature reviews bioengineering · 2026
   Article
4. Performance Drift in a Nationally Deployed Population Health Risk Algorithm in the US Veterans Health Administration.JAMA health forum · 2025
   Article
5. The imperative of diversity and equity for the adoption of responsible AI in healthcare.Frontiers in artificial intelligence · 2025
   Article

Corrections and comments

• Comment on
  Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care: A Systematic Review.2024

Authors and funding

3 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as