Protocolizing Ourselves Out of Practice: Reflections on AI in Anesthesiology
Abstract
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1] Buhre W, Maas L. Broadening the scope and rising to the occasion, an opportunity for anaesthesiologists to take the lead in healthcare quality & patient safety (again). Curr Opin Anaesthesiol. 2024; 37(2):150-154.
[2] Coeckelenbergh S, Boelefahr S, Alexander B, Perrin
L, Rinehart J, Joosten A, Barvais L. Closed-loop anesthesia: foundations and applications in contemporary perioperative medicine. J Clin Monit Comput. 2024; 38(2):487-504.
[3] Kandhare P, Kurlekar M, Deshpande T, Pawar A. A Review on Revolutionizing Healthcare Technologies with AI and ML Applications in Pharmaceutical Sciences. Drugs Drug Candidates. 2025; 4(1):9.
[2] Coeckelenbergh S, Boelefahr S, Alexander B, Perrin
L, Rinehart J, Joosten A, Barvais L. Closed-loop anesthesia: foundations and applications in contemporary perioperative medicine. J Clin Monit Comput. 2024; 38(2):487-504.
[3] Kandhare P, Kurlekar M, Deshpande T, Pawar A. A Review on Revolutionizing Healthcare Technologies with AI and ML Applications in Pharmaceutical Sciences. Drugs Drug Candidates. 2025; 4(1):9.
| Files | ||
| Issue | Vol 12 No 3 (2026): May-Jun |
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| Section | Letter to Editor | |
| DOI | https://doi.org/10.18502/aacc.v12i3.21326 | |
| Keywords | ||
| machine learning ai AI in Anesthesiology | ||
| Rights and permissions | |
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Yerramshetty M, Garud I. Protocolizing Ourselves Out of Practice: Reflections on AI in Anesthesiology. Arch Anesth & Crit Care. 2026;12(3):347-348.
