Artificial Intelligence in Surgical Care: A Point-Counterpoint Analysis

Artificial intelligence (AI) integration in surgical care represents a paradigm shift with significant potential benefits and risks. This point-counterpoint debate examined the proposition that AI improves surgical patient care. A structured debate format featuring Dr Divya Kewalramani (pro-AI) and Dr Michael Aboutanos (con-AI) explored the current state, opportunities, and challenges of AI implementation in surgical practice. The pro-AI argument emphasized addressing surgical care gaps through predictive analytics, supply chain optimization, and enhanced postoperative monitoring. The con-AI position highlighted concerns about data biases, validation deficits, hallucinations, and implementation risks. While AI demonstrates potential to improve surgical care, substantial challenges remain regarding validation, inclusivity, and oversight. Responsible adoption requires robust evaluation frameworks, diverse datasets, and continuous postimplementation monitoring.

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Publication Details

Journal
Trauma Surgery & Acute Care Open
Published
2026-04-01
DOI
https://doi.org/10.1136/tsaco-2025-002093
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Surgical Care: A Point-Counterpoint Analysis

Megan T. Quintana, Mayur Narayan, Saman Qadri, Divya Kewalramani et al.
Trauma Surgery & Acute Care Open
Artificial Intelligence in Healthcare and Education
article

Artificial Intelligence in Surgical Care: A Point-Counterpoint Analysis

Megan T. Quintana, Mayur Narayan, Saman Qadri, Divya Kewalramani, Michel B. Aboutanos
article en

Abstract

Artificial intelligence (AI) integration in surgical care represents a paradigm shift with significant potential benefits and risks. This point-counterpoint debate examined the proposition that AI improves surgical patient care. A structured debate format featuring Dr Divya Kewalramani (pro-AI) and Dr Michael Aboutanos (con-AI) explored the current state, opportunities, and challenges of AI implementation in surgical practice. The pro-AI argument emphasized addressing surgical care gaps through predictive analytics, supply chain optimization, and enhanced postoperative monitoring. The con-AI position highlighted concerns about data biases, validation deficits, hallucinations, and implementation risks. While AI demonstrates potential to improve surgical care, substantial challenges remain regarding validation, inclusivity, and oversight. Responsible adoption requires robust evaluation frameworks, diverse datasets, and continuous postimplementation monitoring.

Trauma Surgery & Acute Care OpenVol. 11(2)
Rutgers, The State University of New Jersey (US), Virginia Commonwealth University (US), George Washington University (US), Johnson University (US)
Openalex Percentile: Top 32%
Artificial Intelligence in Healthcare and Education
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