Pukyong National University Achieves Double Awards at Academic Conference for Medical AI Convergence Technology Research

Research on Anatomical Landmark Detection and Parkinson's Disease Screening

Double Award at the Korea Multimedia Society Spring Conference

The research team led by Professors Byungil Lee and Myungki Lee at Pukyong National University has achieved a double victory at a renowned domestic academic conference with their research outcomes in medical artificial intelligence (AI) convergence technology.

Pukyong National University announced on the 13th that the team—consisting of Professor Byungil Lee from the Human Bio Convergence major and Professor Myungki Lee from the Biomedical Engineering major—received the Excellent Paper Award and the Excellence Award at the "2026 Korea Multimedia Society Spring Academic Conference and Interim General Meeting," respectively.

The conference was held at the Daejeon Convention Center from May 7 to May 9.

The research team won the Excellent Paper Award in the oral presentation category for their paper titled "Data Quality Matters More Than Quantity: Synthetic Data Augmentation for Distal Arm Anatomical Landmark Detection Based on YOLO26N."

The team explained that their study demonstrated how building high-quality synthetic data plays a crucial role in enhancing performance in AI training based on medical imaging, rather than simply increasing the quantity of data.

This research involved graduate students from Pukyong National University, researchers from the Digital Healthcare Research Center, and research teams from Kyung Hee University and Dongshin University. In the poster presentation category, the study "Non-invasive Parkinson's Disease Screening Using ASR Models" received the Excellence Award.

This study presented the potential for early detection of Parkinson's disease while reducing patient discomfort by utilizing speech recognition technology.

Pukyong National University explained that these studies are core outcomes of the project "Development of an ICT-Based Integrative Acupuncture Treatment System Based on Fundamental Technologies for Acupoint Stimulation and Diagnosis," which is part of the Korea Research Foundation's Bio-Medical Technology Development Program.

The research team is conducting studies to develop a digital-based diagnostic and treatment platform that integrates AI technology with traditional acupuncture treatment methods.