National Taiwan University Hospital is moving to the next phase of huge AI development to focus on multiple types of data.
The hospital recently acquired two modern supercomputers from NVIDIA that would facilitate accelerate the development of smart healthcare applications.
This includes projects developing multimodal, multilingual models to optimize operational processes and improve patient experience, NTUH shared in a statement.
A BIGGER TREND
NTUH first acquired NVIDIA AI supercomputers in 2020, which led to the development of various generative artificial intelligence and augmented reality applications.
For example, the Center for Wise Healthcare has developed LLM for automatic ICD-10 coding, automatic generation of follow-up reports, automatically generated transcripts of telemedicine consultations, reporting of emergency voice recordings, and extraction of key points from pathology reports. NTUH’s IT office also applied LLM to summarize medical records, generate reports, mine unstructured data, and answer medical questions. These LLMs have been integrated with the NTUH health information system.
Using its supercomputing capabilities, the hospital also developed a VR platform for surgical training called OpVerse.
Meanwhile, two of Taiwan’s top electronics makers recently announced projects to ambitiously build what could be the country’s largest supercomputer processor. Foxconn, in collaboration with NVIDIA, aims to develop the fastest AI supercomputer in Taiwan with an expected AI performance of over 90 exaflops, potentially supporting cancer research and LLM development. Just last month, Foxlink also unveiled its first supercomputing facility, Ubilink – also powered by NVIDIA – which claims to have the most computing power in Taiwan to date.
Outside of Taiwan, Singapore’s two major healthcare clusters, SingHealth and the National University Health System, have used supercomputers in recent years to accelerate the development of AI applications, including GenAI-powered chatbot and digital twin technology to monitor disease outbreaks.