365mc is accelerating its efforts in medical innovation through artificial intelligence (AI). The company aims to enhance its data-driven medical system by integrating AI across clinical and operational areas.
On July 7, 365mc announced the launch of 'AX Champions' (AI Transformation Champions), a dedicated organization focused on AI implementation. This group will apply AI across all areas, from clinical practice to operations, to improve efficiency and advance precision medicine.
Choi Ji-hyun, head of 365mc, has been appointed as the inaugural Chief AI Officer (CAIO). The organization comprises 16 members selected from various fields, including medical staff and administration, to promote AI adoption centered on practical applications.
365mc has been integrating AI technology into healthcare for several years. Starting with the 'AI Liposuction System' developed in collaboration with Microsoft in 2017, the company has advanced related technologies through its AI research group, HOBIT Lab. It is leveraging approximately 1.4 billion data points to enhance safety and improve demand forecasting across various sectors.
Recent research achievements include the development of algorithms for predicting fat extraction amounts and models for predicting respiratory decline during surgery, in collaboration with university researchers. These studies have been published in the international journal 'Scientific Reports.'
In clinical settings, 365mc is expanding AI-based services, including systems for predicting post-surgery swelling and bruising, as well as programs for forecasting treatment outcomes, covering everything from consultations to post-operative care.
The company plans to strengthen its AI-based medical system further with this new organization. Kim Ha-jin, chair of the 365mc representative council, stated, "Involving those who understand the field best in the AI adoption process is essential for genuine service innovation. We aim to enhance patient safety and satisfaction through data-driven healthcare."
CAIO Choi Ji-hyun emphasized, "As digital transformation accelerates, AI is a core competitive advantage. We will combine our data and technological capabilities to establish a globally competitive smart healthcare model."
Meanwhile, 365mc is actively implementing AI systems in real clinical environments. For instance, the AI-based 'APPA (Artificial Intelligence Post-operative Symptoms Prediction Algorithm)' system, which predicts symptoms after liposuction, is currently in operation at Busan 365mc Hospital.
The APPA system analyzes 730,000 liposuction data points accumulated over 23 years, assessing factors such as body shape, fat volume, treatment area, and surgery duration to predict recovery processes. This allows for advance estimation of bruising severity, pain intensity, and recovery speed for specific symptoms. The system was developed by HOBIT Lab, 365mc's dedicated AI and big data team.
The APPA system is designed to proactively address potential post-surgery symptoms using predictive data, enabling personalized care for each patient. There are plans to expand its application to all 365mc hospitals nationwide.
* This article has been translated by AI.
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