Medicare plan selection is a complex and critical decision for seniors, requiring an intricate balance of cost, coverage, convenience, and personal preferences. We propose a novel system leveraging Adversarial‑Cooperative Large Language Models...
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...
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