Author Correction: Integrating artificial intelligence tools in health research - Report - MDSpire
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Correction Notice: Incorporating AI Technologies in Health Research

  • By

  • Gemma Postill

  • Jana Sedlakova

  • Stefano Tancredi

  • Frerik Smit

  • Sintieh Ekongefeyin

  • Andreas M. Baumer

  • Arnaud Chiolero

  • Jürgen Bernard

  • Laura C. Rosella

  • Viktor von Wyl

  • September 21, 2026

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Correction Notice: Incorporating AI Technologies in Health Research

Overview

This correction notice addresses an error in the labeling of human involvement levels in AI automation. The original publication incorrectly presented the order of these levels.

Background

The integration of artificial intelligence (AI) in healthcare is rapidly evolving, impacting various aspects such as diagnostics and treatment strategies. Accurate representation of AI's capabilities and human involvement is crucial.

Data Highlights

No numerical or trial data presented in the correction notice.

Key Findings

  • The original article misrepresented the order of human involvement levels in AI automation.
  • AI automation levels range from Level 1 to Level 5, with increasing automation correlating to decreasing human involvement.
  • The correction clarifies the intended relationship between automation and human oversight.
  • Accurate reporting standards for AI in health research are essential for transparency.
  • Current guidelines emphasize the importance of human oversight in AI applications.

Clinical Implications

Healthcare professionals should be aware of accurate representations of AI capabilities and human involvement.

Conclusion

This correction highlights the need for precision in reporting AI technologies in health research.

Related Resources & Content

  1. Aras S, Drakos C, Manimangalam V, Nasir MA, Burns C, Smith D, Equils O, Front Digit Health, 2026 -- Correction: Influencing public acceptance of artificial intelligence (AI) in healthcare delivery
  2. Kaiser Family Foundation (KFF), 2026 -- The Growing Use of Artificial Intelligence in Health Care and Implications for Disparities
  3. SPIRIT 2025 statement, PMC, 2025 -- Updated guideline for protocols of randomised trials
  4. Frontiers in Digital Health — AI-driven healthcare: a trend toward better healthcare or the emergence of public health burden
  5. Frontiers in Medicine — Editorial: Ethical and Legal Implications of Artificial Intelligence in Public Health: Balancing Innovation and Privacy
  6. SPIRIT 2025 statement: Updated guideline for protocols of randomised trials - PMC
  7. Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial - ScienceDirect
  8. Position Statement: Artificial Intelligence in Health Care - American Academy of Nursing

Original Source(s)

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