Every healthcare AI team eventually faces the same uncomfortable question: Can you prove who accessed what, when, and why? Most can’t. Not cleanly. Not instantly. Not in the way a...
This post presents a comparative benchmark of medical Vision Language Models (VLMs) evaluated on a range of clinically relevant visual and multimodal tasks. The study focuses on assessing how well...
Every day, healthcare organizations face an impossible balancing act. Clinical teams need AI tools to extract insights from unstructured medical records, validate de-identification results, and accelerate annotation workflows. But every...
Why analyze patient journey data? Patient journey data offers a holistic view of an individual’s healthcare experience, connecting clinical, behavioral, and operational touchpoints across time. When analyzed with AI, this...
What is a medical reasoning engine and how does it differ from search? Medical reasoning engines, powered by advanced large language models (LLMs), represent a new generation of clinical decision...
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