Design and Development of an Artificial Intelligence–Based Image Measurement System to Support Medical Procedures

Authors

  • Pariwat Imura Rangsit University, Pathum Thani, Thailand https://orcid.org/0009-0004-8551-0022
  • Anantasak Wongkumheang Rangsit University, Pathum Thani, Thailand https://orcid.org/0009-0003-4173-6487
  • Phichitphon Chotikunnan Rangsit University, Pathum Thani, Thailand
  • Rawiphon Chotikunnan Rangsit University, Pathum Thani, Thailand
  • Nuntachai Thongpance Rangsit University, Pathum Thani, Thailand
  • Anuchit Nirapai Rangsit University, Pathum Thani, Thailand https://orcid.org/0009-0006-5896-2204

DOI:

https://doi.org/10.3991/ijoe.v22i09.61427

Keywords:

Smart Wound Scan, CNN, Consult, Medical Procedure

Abstract


This project seeks to create and develop a measurement system utilizing artificial intelligence (AI) technology to facilitate applications in medical procedures, specifically for assessing wound size to improve treatment planning and decision-making. The implemented system utilizes the You Only Look Once (YOLO) v8 model for precise wound recognition and measurement, alongside a MySQL database for organized wound data storage, facilitating effective analysis and management of wound information. The development process commenced with the acquisition of wound image data and the training of the YOLOv8 model to enhance its ability to accurately detect and measure wound size. The system’s performance was evaluated in terms of accuracy and processing stability. The findings indicated an average accuracy of 84.5% and a confidence stability rate of 83% for the image processing capabilities of YOLOv8. The system also enables organized data storage and retrieval, thereby supporting decision-making in medical treatment procedures. Performance testing indicated that the system processes images efficiently and effectively, suggesting its applicability in medical practice, including monitoring treatment progress and adjusting treatment plans based on real-time data. This study emphasizes the potential of AI technology and systematic data management to improve the quality of medical care. The proposed method functions as an effective tool to enhance the accuracy and efficiency of wound measurement, presenting significant implications for the future of medical practice.

Author Biographies

Pariwat Imura, Rangsit University, Pathum Thani, Thailand

He serves as a Lecturer in the Biomedical Engineering Program at the College of Biomedical Engineering, Rangsit University. He holds a Master of Engineering in Biomedical Engineering from Rangsit University and completed his Bachelor of Science Program in Computer Science at Rajamangala University of Technology Lanna. His research interests span Medical Imaging Systems, Fundamental Principles of Computer Communication Networks and Database Management, Smart Medical Systems, Big Data Analytics in Medical, Medical Artificial Intelligence, and embedded systems.

Anantasak Wongkumheang, Rangsit University, Pathum Thani, Thailand

He serves as a Lecturer in the Biomedical Engineering Program at the College of Biomedical Engineering, Rangsit University. He holds a Bachelor's degree in Medical Instrumentation from Rangsit University (2006) and a Master's degree in Biomedical Engineering from King Mongkut's Institute of Technology Ladkrabang (2014). His research interests span medical devices, equipment calibration, hospital engineering, microcontrollers, and instrumentation.

Phichitphon Chotikunnan, Rangsit University, Pathum Thani, Thailand

He serves as a Lecturer in the Biomedical Engineering Program at the College of Biomedical Engineering, Rangsit University. Holding a Doctor of Engineering degree in Electrical and Information Engineering and a Master of Engineering in Electrical Engineering, both from King Mongkut's University of Technology Thonburi, he also earned a Bachelor of Engineering in Mechatronics Engineering from Pathumwan Institute of Technology, his research interests encompass robotics, embedded systems, fuzzy logic control, and iterative learning control.

Rawiphon Chotikunnan, Rangsit University, Pathum Thani, Thailand

He is a Lecturer in the Biomedical Engineering Program at the College of Biomedical Engineering, Rangsit University. With a Master of Engineering in Biomedical Engineering from Rangsit University and a Bachelor of Information Technology in Interactive Design and Game Development from Dhurakij Pundit University, his Research Interests Include Interactive Media, Medical Image Processing, Robots, and Control Systems.

Nuntachai Thongpance, Rangsit University, Pathum Thani, Thailand

He currently holds the position of Associate Professor and Dean of the College of Biomedical Engineering at Rangsit University. He established undergraduate and graduate courses in medical instrumentation and biomedical engineering at Rangsit University. Nuntachai earned his Master of Engineering in nuclear technology from Chulalongkorn University in 1987 and his Bachelor of Science in physics with second-class honors from Prince of Songkla University in 1984. His research interests encompass medical devices, biomedical engineering, and healthcare management engineering.

Anuchit Nirapai, Rangsit University, Pathum Thani, Thailand

He obtained his Bachelor of Science in Communication Engineering from Srinakharinwirot University, his Master of Science in Communication Engineering from King Mongkut's University of Technology North Bangkok, and his Doctor of Philosophy program in Information Technology Management from Mahidol University Thailand in 2008, 2015, and 2023, respectively. Presently, he holds a position as a lecturer in the College of Biomedical Engineering at Rangsit University. In this role, he instructs courses on software design, health information technology, information technology management, and the Internet of Medical Things (IoMT).

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Cover iJOE – Vol 22, No 09 (2026)

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Published

2026-09-18

How to Cite

Imura, P., Wongkumheang, A., Chotikunnan, P., Chotikunnan, R., Thongpance, N., & Nirapai, A. (2026). Design and Development of an Artificial Intelligence–Based Image Measurement System to Support Medical Procedures. International Journal of Online and Biomedical Engineering (iJOE), 22(09), pp. 126–147. https://doi.org/10.3991/ijoe.v22i09.61427

Issue

Vol. 22 No. 09 (2026)

Section

Papers

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Copyright (c) 2026 Pariwat Imura, Anantasak Wongkumheang, Phichitphon Chotikunnan, Rawiphon Chotikunnan, Nuntachai Thongpance, Anuchit Nirapai

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This work is licensed under a Creative Commons Attribution 4.0 International License.