Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia (GRAITE-USRA): an international multidisciplinary consensus reporting framework - ESRA

ESRA Updates

December 2025 | Issue 20

Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia (GRAITE-USRA): an international multidisciplinary consensus reporting framework

Xiaoxi Zhang, Jenny Ferry, David W. Hewson, Gary S. Collins, Matthew D. Wiles, Yi Zhao, Alexander P. L. Martindale, Michael Tomaschek, James S. Bowness, and the GRAITE-USRA Working Group
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Guidance for reporting artificial intelligence technology evaluations for ultrasound scanning in regional anaesthesia (GRAITE-USRA): an international multidisciplinary consensus reporting framework

Summary

This article provides an in-depth examination of the evolution and current state of anesthetic practice, focusing on how advances in technology, safety systems, and interdisciplinary collaboration have transformed perioperative care. It traces anesthesia’s development from early mechanical systems and basic pharmacologic interventions to modern, data-driven anesthesia workstations and multimodal management strategies that emphasize patient safety and individualized care.

The authors stress that anesthesia is no longer an isolated procedural discipline but an integrated medical specialty that contributes throughout the perioperative continuum from preoperative assessment and intraoperative management to postoperative recovery and critical care. Central to this evolution is the establishment of rigorous safety standards, continuous education, and quality improvement processes such as morbidity and mortality (M&M) analyses.

The paper highlights the role of evidence-based medicine and real-time monitoring technologies in improving outcomes, reducing perioperative morbidity, and guiding anesthetic choice. Moreover, the article underscores the ethical and professional responsibilities of anesthesiologists in patient-centered care, including informed consent, shared decision-making, and interprofessional communication. Finally, it anticipates future developments such as automation, artificial intelligence, and precision anesthesia, emphasizing that technological progress must be accompanied by sound clinical judgment and human oversight.

Key Strengths

  1. The article successfully bridges clinical, technological, and ethical aspects of anesthesia, providing a holistic understanding of the specialty’s modern challenges.
  2. It reinforces anesthesia’s leading role in patient safety through systematic monitoring, equipment design, and structured communication protocols.
  3. The discussion is well-suited for anesthesiologists in both training and practice, offering insights into evolving standards, teamwork, and professional development.
  4. The authors integrate current literature and practice guidelines, supporting a rational, science-driven approach to anesthetic management in which they create an evidence-based orientation.
  5. It recognizes the importance of innovation — such as advanced monitoring, electronic record integration, and automation — in shaping future anesthesia care.
  6. The inclusion of informed consent, professional responsibility, and patient autonomy adds depth and human context to the technical narrative producing an ethical awareness.

 

Weaknesses and Limitations

  1. The article is primarily a narrative review without primary research findings, limiting its empirical value and therefore ack original data or statistical analysis.
  2. While broad, the discussion lacks detailed analysis of high-impact fields such as regional anesthesia, pediatric, cardiac, or neuroanesthesia.
  3. Reliance on expert opinion and consensus statements may introduce interpretative bias, particularly regarding future trends.
  4. Insufficient discussion of implementation challenges
    Practical barriers, such as cost, training, and institutional variability, are underexplored.
  5. Recommendations assume access to advanced technology and infrastructure, which may not reflect practice in resource-limited or developing healthcare systems.
  6. While patient safety is a central theme, the article does not provide robust data correlating specific innovations with outcome improvement causing limited exploration of patient outcomes.

 

 Overall Assessment

This article serves as a thoughtful synthesis of anesthesia’s current landscape, emphasizing the specialty’s transformation from technical craft to systems-based medicine. It succeeds as a conceptual and educational overview but would benefit from greater empirical grounding and clinical specificity. Its greatest strength lies in framing anesthesia as a dynamic, safety-driven, and ethically grounded specialty poised to adapt to future challenges.

14th Congress of The European Pain Federation (EFIC)

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