Healthcare systems worldwide face a growing challenge: rising patient demand, aging populations, and limited human resources. Physician shortages, burnout, and administrative overload threaten care quality, access, and sustainability. Large Language...
The RAG ingestion problem In real-world RAG systems, the quality of the final answer is constrained by the quality of the indexed representation. If the ingestion layer fails to capture...
FHIR defines standardized resources, including Patient, Observation, Condition, Medication, Encounter, and DiagnosticReport that enable health data exchange across electronic health records, registries, analytics platforms, and artificial intelligence services. By representing...
When Lunar Analytics built their agentic artificial intelligence platform for pharmacy benefits management, the technical challenge extended beyond clinical decision support recommendations. Their system needed to execute workflows autonomously: automated...
TL;DR: Spark NLP’s upgraded Llama.cpp backend now supports a wider range of modern LLM families, including quantized and multimodal models. The integration delivers faster, memory-efficient inference and seamless Spark pipeline...
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