We thank Haq and Khan for their thoughtful commentary [1] on our review of artificial intelligence (AI) in cardiac surgery [2]. We fully agree that advancing AI integration in this field requires not only technological innovation but also robust strategies for data quality, workflow integration, ethical governance, and interdisciplinary collaboration.
1. Data Quality and Generalizability
As emphasized, the effectiveness of AI models is contingent on the diversity and representativeness of their training datasets. Our review highlighted similar concerns and supports the authors’ call for prospective, multicenter validation efforts. Frameworks such as DECIDE-AI provide timely guidance for ensuring that models meet standards of transparency and generalizability [3].
2. Clinical Integration and Workflow Challenges
Resistance to adopting AI often stems from usability and interoperability issues within existing clinical workflows. We concur that early involvement of clinicians, user-centered design, and iterative feedback loops are pivotal to achieving meaningful and sustainable implementation of AI-driven decision-support systems [4].
3. Ethical Accountability and Algorithmic Bias
The concerns raised about accountability and algorithmic bias align with our conclusions that AI must complement—not replace—human judgment. Future research should prioritize explainable AI, equitable data representation, and strong medico-legal frameworks to build trust in high-stakes environments such as cardiac surgery [5].
4. Interdisciplinary Collaboration
We echo the recommendation to strengthen collaboration among engineers, clinicians, ethicists, regulators, and patient advocates. Innovative tools, including virtual and augmented reality, exemplify the potential of interdisciplinary approaches to enhance preoperative planning and intraoperative guidance [6].
In summary, the dialog initiated by Haq and Khan underscores the importance of continuous discourse on equitable, explainable, and patient-centered AI. Progress in these domains will be key to realizing AI’s full promise in transforming cardiac surgical care.
Conflicts of Interest
The authors declare no conflict of interest.
References
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