Many important healthcare applications like matching patients to clinical trials, applying the right clinical guidelines, differential diagnosis, clinical coding, patient registries, and real-world data curation depend on understanding the full...
In the intricate world of acute care, every step holds the potential to significantly alter a patient’s journey. While some paths lead to reduced hospitalizations and seamless recoveries, others may...
Radiology, long at the forefront of AI adoption in healthcare, is undergoing a profound transformation. The shift from convolutional neural networks (CNNs) to foundation models and vision‑language models (VLMs) is redefining how...
Reliability, accuracy, observability, and auditability are crucial in building LLM workflows in healthcare. All of these rely on the ability to measure LLM automations at scale. But as the metrics we care about...
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