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 $120 million from investors like General Catalyst and a16z Bio + Health, aims to create empathetic AI agents for nuanced patient interactions, performing non-diagnostic tasks such as preoperative guidance and medication inquiries. Leveraging NVIDIA’s AI chips for rapid response times, these agents are designed to alleviate healthcare staffing shortages by handling routine tasks, thus allowing human clinicians to focus on complex care.
Hippocratic AI emphasizes safety, training its LLMs on evidence-based medical sources and testing them rigorously with medical professionals. The company’s approach includes additional safeguards through task-specific support models to ensure accuracy. With an eye on increasing healthcare access, the agents are tailored for non-diagnostic workflows, aiding in medication adherence and patient outreach. By automating these tasks, Hippocratic AI aims to reduce clinician burnout and enhance patient care, addressing the growing demand for healthcare services as projected by the U.S. Bureau of Labor Statistics.