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| Main Authors: | , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15788185 |
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Table of Contents:
- <p>This research introduces a novel AI-integrated Internet of Things (IoT) system designed to assist surgeons during hernia procedures through real-time, adaptive feedback. Leveraging machine learning algorithms and sensor fusion, the system provides context-aware insights to reduce intraoperative errors and optimize decision-making. Evaluations based on experimental setups and clinical simulations demonstrated notable improvements in surgical precision, latency, and adaptability. The implementation confirms that AI-IoT convergence holds significant promise for improving patient safety and procedural efficacy in surgical settings.</p>