Munjal Shah, a seasoned entrepreneur with a background in healthcare and artificial intelligence, has founded Hippocratic AI to develop a large language model (LLM) tailored specifically for healthcare applications. The company’s mission is to address the growing shortage of healthcare professionals by creating AI systems capable of performing non-diagnostic tasks such as chronic care management, patient navigation, and dietary guidance. By focusing on these areas, Hippocratic AI aims to alleviate the burden on healthcare providers, allowing them to concentrate on more complex patient care.
A key aspect of Hippocratic AI’s approach is training its LLM on evidence-based medical content, including peer-reviewed research and healthcare textbooks, rather than general internet data. This specialized training enhances the AI’s ability to communicate medical information effectively and empathetically, potentially improving patient engagement and adherence to treatment plans. The company has subjected its model to rigorous testing, including evaluations on 114 certifications and benchmarks, with results indicating superior performance compared to general-purpose LLMs like GPT-4 in healthcare-specific tasks.