Hippocratic AI is developing the first safety-focused Large Language Model (LLM) for healthcare, and has announced a significant investment from NVentures, NVIDIA’s venture capital arm.
Jada, Suki, and Susan are sophisticated AI agents meticulously designed to assist with various crucial aspects of breast cancer awareness and care. These advanced digital
WellSpan Health has partnered with Hippocratic AI to launch a pioneering clinical GenAI healthcare agent, marking a significant advancement in patient care. This AI-powered service,
Nvidia, primarily known for its hardware innovations, is making significant strides in the healthcare sector through its venture capital arm, NVentures. The company is investing
WellSpan Health, a York, Pa.-based health system, is pioneering the use of a generative AI “agent” named Ana to enhance patient care and streamline healthcare
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The partnership between Hippocratic AI and NVIDIA will focus on new technological developments, including the use of NVIDIA NIM microservices to enhance the company’s production platform for improved conversational capabilities.
Hippocratic AI, a startup focused on developing safe and effective generative AI for healthcare, has recently secured a $17 million investment from Nvidia’s venture arm, NVentures, along with other investors.
As co-founder and CEO of Hippocratic AI, Munjal Shah is developing artificial intelligence that he believes could fundamentally reshape how medical care is delivered. His company’s generative AI large language models, purpose-built for healthcare, aim to take on countless routine tasks. Those tasks are currently performed by healthcare providers, everything from preoperative instructions to chronic disease management check-ins.
“What if instead of doing a co-pilot model, we do autopilot?” Shah posits, contrasting his vision with AI tools designed merely to assist human clinicians. “What if we build fully automated AIs that call people on the phone and talk to them? Imagine an AI that can do nondiagnostic, low-risk tasks like preoperative calls and medication reminders?”
Hippocratic AI focuses on leveraging large language models (LLMs) to engage in long, multiturn voice conversations within healthcare, distinguishing its approach from other AI applications that prioritize
Munjal Shah’s company, Hippocratic AI, is taking a cautious and deliberate approach to launching its flagship nondiagnostic healthcare large language model (LLM). Founded in 2023, the company has
Hippocratic AI, a healthcare-focused generative AI startup founded in 2023 by Munjal Shah, has rapidly gained attention, achieving a $500 million valuation following a $53 million Series A funding round. The
The AI-powered healthtech sector is experiencing rapid growth and innovation, with numerous startups emerging to address various healthcare challenges. A recent article highlights several CEOs
In the early 2000s, Munjal Shah founded Andale, a cloud-based e-commerce platform, and later like.com, a visual search engine. Both ventures were successful, with like.com
Munjal Shah, CEO of Hippocratic AI, emphasizes a “safety first” approach in developing generative AI healthcare agents. These agents are designed to tackle nondiagnostic tasks
At the recent NVIDIA GTC conference, Munjal Shah unveiled Hippocratic AI’s innovative use of large language models (LLMs) in healthcare. The startup, backed by over
Nvidia has partnered with Hippocratic AI to develop advanced generative AI agents for healthcare that can operate more efficiently and cost-effectively than human nurses on
In recent advancements, Hippocratic AI, co-founded by Munjal Shah, is developing generative AI healthcare agents designed to address staffing shortages and enhance patient care. These
Hippocratic AI, a startup founded by Munjal Shah in 2023, focuses on integrating generative artificial intelligence into nondiagnostic healthcare applications. The company recently closed a
Hippocratic AI, led by CEO Munjal Shah, has partnered with Nvidia to develop conversational AI healthcare agents with enhanced response times. The collaboration aims to