Large language models (LLMs) for hospitals and other enterprise clients are being developed by businesses making use of
healthcare data, including publicly available clinical trial data and hospital enterprise data. Samsung Electronics' Harman and medical care firm Vizzy have viewed this as a feasible income model as they have found ways of adapting this information, said industry chiefs.
Seetha Mahalaxmi Healthcare last year imported 256 graphics processing units (GPUs) to build BharatGPT, an indigenous generative artificial intelligence (AI) platform. Its CEO Vishnu Vardhan has co-founded another
healthcare company Vizzy Inc, which has signed agreements with two hospital chains in India to build an LLM, called VizzyGPT, with hospital enterprise data. The hospitals will be charged for the use of the LLM, as per economic times.
Harman before the end of last year sent off a confidential LLM, known as HealthGPT. It use
generative AI Solutions to help medical services experts, specialists and organizations in cutting edge patient consideration, clinical examination and navigation.
“We’re launching VizzyGPT soon and have imported the H100 GPUs on which you can build foundational language models. We’ve also secured an additional 1,000 GPUs from another company and are building an LLM for healthcare specifically, which will be implemented both in India and the US,” Vardhan added.
VizzyGPT, a multimodal model will be utilized to computerize emergency clinic processes, both clinical and non-clinical. It will actually want to figure out text, pictures, and sound and video records as well, and will assist with computerizing the most common way of understanding X-beams and attractive reverberation imaging (X-ray) filters.
“If a doctor is doing an endoscopy, the LLM needs to understand a video file, and have clinical knowledge too,” said Vardhan, who is an orthopaedic and ballistic trauma surgeon.
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
