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...
Electronic health records (EHRs) are a treasure trove of information detailing oncology patients’ management and outcomes, but unlocking meaningful insights can be challenging. Structured data such as ICD10 codes and...
Conventional medical communication has been fundamentally broken, placing an increasing burden on healthcare professionals and significantly contributing to burnout and inefficiency. Physicians, nurses, and administrative staff face overwhelming demands, fragmented workflows, and...
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