Nationwide Taiwan College Hospital is shifting to the subsequent part of its giant AI improvement to deal with a number of information sorts.
The hospital just lately acquired two new supercomputers from NVIDIA, which might assist speed up its improvement of sensible healthcare purposes.
This contains tasks creating multimodal giant language fashions for optimising operational processes and enhancing affected person service high quality, NTUH shared in a press release.
THE LARGER TREND
NTUH first acquired NVIDIA’s AI supercomputers in 2020, which led to its improvement of varied generative AI and prolonged reality-based purposes.
Its Middle of Clever Healthcare, for instance, has developed LLMs for ICD-10 automated coding, automated well being check-up stories era, auto-generated telemedicine session transcriptions, emergency voice document reporting, and extraction of key factors in pathology stories. NTUH’s IT Workplace has additionally utilized LLMs to summarise medical information, generate stories, mine unstructured information, and reply medical questions. These LLMs have been built-in into NTUH’s Well being Data System.
With its supercomputing functionality, the hospital has additionally developed a VR platform for surgical coaching known as OpVerse.
In the meantime, two prime electronics producers in Taiwan just lately introduced tasks to ambitiously construct what could possibly be the nation’s largest supercomputing functionality. Foxconn, partnering with NVIDIA, goals to develop the quickest AI supercomputer in Taiwan with over 90 exaflops of anticipated AI efficiency, probably supporting most cancers analysis and LLM improvement. Simply final month, Foxlink additionally unveiled its first supercomputing facility, Ubilink – additionally powered by NVIDIA – claiming to have Taiwan’s highest computing energy so far.
Exterior Taiwan, two main healthcare clusters in Singapore, SingHealth and the Nationwide College Well being System, have utilised supercomputers in recent times to hurry up their improvement of AI purposes, together with a genAI-based chatbot and digital twin technology for monitoring illness outbreaks.
This articles is written by : Nermeen Nabil Khear Abdelmalak
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