Bias in Artificial Intelligence.

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

27 citing papers in PubMed.

1. Artificial intelligence-based screening of phytochemicals for targeted cancer therapy.Natural products and bioprospecting · 2026
   Review
2. An Alternative Approach in Anatomy Education: Design of a Learning Environment Based on Artificial Intelligence-Supported Virtual Manipulatives and Investigation of Its Effectiveness.Clinical anatomy (New York, N.Y.) · 2026
   Article
3. Artificial Intelligence in Ocular Oncology: Differentiating Choroidal Melanocytic Lesions.Ophthalmology science · 2026
   Article
4. Twelve tips for addressing ethical concerns in the implementation of artificial intelligence in medical education.Medical education online · 2024
   Review
5. Algor-ethics: charting the ethical path for AI in critical care.Journal of clinical monitoring and computing · 2024
   Article
6. AI in Radiology: Navigating Medical Responsibility.Diagnostics (Basel, Switzerland) · 2024
   Review
7. A survey of recent methods for addressing AI fairness and bias in biomedicine.Journal of biomedical informatics · 2024
   Review
8. Traditional, complementary, and integrative medicine and artificial intelligence: Novel opportunities in healthcare.Integrative medicine research · 2024
   Article
9. A survey of recent methods for addressing AI fairness and bias in biomedicine.ArXiv · 2024
   Article
10. Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients.Journal of pain research · 2024
    Review
11. New evidence-based practice: Artificial intelligence as a barrier breaker.World journal of methodology · 2023
    Article
12. Machine Learning Algorithm to Perform the American Society of Anesthesiologists Physical Status Classification.Cureus · 2023
    Article
13. Artificial Intelligence Bias in Health Care: Web-Based Survey.Journal of medical Internet research · 2023
    Article
14. Bias reduction in representation of histopathology images using deep feature selection.Scientific reports · 2022
    Article
15. Biased data lead to biased algorithms.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Article
16. A Latin American perspective on neurodiplomacy.Frontiers in medical technology · 2022
    Article
17. Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility?Frontiers in surgery · 2022
    Review
18. Integration of artificial intelligence and precision oncology in Latin America.Frontiers in medical technology · 2022
    Review
19. Cardiovascular Health Research in the Workplace: A Workshop Report.Journal of the American Heart Association · 2021
    Article
20. Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.Journal of medical Internet research · 2021
    Article

Corrections and comments

• Commented on by
  Biased data lead to biased algorithms.2022

Authors and funding

1 author.

Funding

No grant is acknowledged in the PubMed record.

Abstract

PubMed holds no abstract for this paper.

Indexed as