This talk presents a comprehensive framework for implementing enterprise‑scale generative AI applications in the healthcare sector. The presentation explores the evolution from traditional AI to modern generative models, highlighting how GenAI...
Accurate HCC coding is critical for patient risk adjustment and can have a material impact on the revenue integrity of healthcare systems and payers. Multiple studies have shown that one...
Incorporation of temporality into analytics and modeling fills a critical gap in the interpretation of data (precursors, outcomes, related events). Not only can temporality augment phenotypic associations for patients, necessary...
Conversational Artificial Intelligence (AI) holds the potential to transform clinician‑patient interactions by improving accessibility, engagement, and efficiency in healthcare. Leveraging technologies like Natural Language Processing (NLP) and machine learning, conversational AI...
This presentation explores how healthcare chatbot accuracy can be significantly improved through the implementation of John Snow Labs’ Medical LLM‑Medium as an evaluation mechanism in retrieval augmented generation (RAG) systems. We demonstrate...
Demos
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