Jaroonwit Lelachaicharoeanpan

King Mongkut's University of Technology Thonburi

Papers

Total Citations

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About

Dr. Jaroonwit Lelachaicharoeanpan is a researcher at the intersection of artificial intelligence and healthcare, with a primary focus on medical device management and surgical instrument processing. His most cited work, "Classification of Surgical Devices with Artificial Neural Network Approach" (2021, 7 citations), addresses a critical operational challenge in hospitals: the accurate identification and sorting of used surgical instruments for proper sterilization and disinfection. By applying artificial neural networks to this classification problem, Dr. Lelachaicharoeanpan's research streamlines the workflow in central sterile supply departments, reducing human error and improving patient safety. This contribution is particularly valuable in high-volume surgical settings where the rapid, reliable processing of diverse instruments is essential. His work demonstrates a practical application of machine learning to solve real-world healthcare logistics, bridging the gap between advanced computational methods and everyday clinical operations. Dr. Lelachaicharoeanpan's research holds significant potential for enhancing efficiency in hospital sterilization protocols, making him a notable figure in the growing field of AI-assisted medical device management.