Machine Learning Healthcare Applications (ML-HCAs) Are No Stand-Alone Systems but Part of an Ecosystem - A Broader Ethical and Health Technology Assessment Approach is Needed.

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

8 citing papers in PubMed.

1. Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.World journal of emergency surgery : WJES · 2026
   Article
2. Applications of artificial intelligence and the challenges in health technology assessment: a scoping review and framework with a focus on economic dimensions.Health economics review · 2025
   Review
3. [Supporting medical and nursing activities with AI: recommendations for responsible design and use].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
   Article
4. Artifical intelligence in surgery: ethical considerations in the light of social trends in the perception of health and medicine.EFORT open reviews · 2024
   Review
5. Evidence, ethics and the promise of artificial intelligence in psychiatry.Journal of medical ethics · 2023
   Article
6. Enhancing trust in AI through industry self-governance.Journal of the American Medical Informatics Association : JAMIA · 2021
   Article
7. What Makes Artificial Intelligence Exceptional in Health Technology Assessment?Frontiers in artificial intelligence · 2021
   Review
8. A Framework to Evaluate Ethical Considerations with ML-HCA Applications-Valuable, Even Necessary, but Never Comprehensive.The American journal of bioethics : AJOB · 2020
   Article

Corrections and comments

• Comment on
  Identifying Ethical Considerations for Machine Learning Healthcare Applications.2020

Authors and funding

4 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

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