TAIPEI (Taiwan News) — National Taiwan University Hospital is showcasing smart healthcare applications and research achievements, highlighting the integration of healthcare and technology at Healthcare Expo Taiwan.
The four-day event, running through Sunday at Taipei Nangang Exhibition Center, features around 2,100 booths and attracts over 200 international buyers. This year’s expo highlights smart healthcare, precision medicine, and treatments focused on tissue repair and regeneration, while also showcasing applications of robotics and AI-assisted diagnostics, per CNA.
The hospital is presenting a mobile phone application that allows individuals to take pictures of mucosal areas for oral cancer screening. The images are then analyzed by an AI-powered system, which can identify high-risk areas within two minutes with 95% accuracy.
The hospital also highlights cancer treatments enhanced by technology, including an AI platform for lung cancer that offers personalized predictions, treatment options, and assesses the risk of metastasis. Additionally, it presents a liver cancer model that predicts the likelihood of recurrence after surgery, using data from 1,061 patients to improve treatment outcomes.
The hospital’s medical imaging department has developed an AI-powered diagnostic tool and virtual reality technology for use in surgical planning. Hospital Director Yu Chong-jen (余忠仁) highlighted the use of digital twin technology to create virtual models, allowing doctors to locate lesions precisely using AR or VR technology.
Yu said the hospital has also implemented technology to improve nursing workflow, including an app for communication and image analysis. The integration of digital bedside displays and call buttons allows staff to access and monitor patients' health information quickly.
Also on display is the hospital's AI tool for autism screening and diagnosis, achieving 82.3% accuracy. The system uses machine learning to improve autism detection and diagnosis. Lastly, the hospital showcases its automated medical record management system, which utilizes large language models to analyze vast amounts of data and organize patient records.
