Blog
Our take on AI in healthcare.
Harnessing AI and GraphRAG for Early Detection and Intervention in Diabetic Retinopathy
How GraphRAG, FHIR interoperability, and NLP combine to catch diabetic retinopathy earlier and account for the social factors that shape a patient's risk.
Harnessing AI to Transform Drug Development: Overcoming Challenges, Ensuring Equity, and Enhancing Outcomes
How AI and machine learning are reshaping drug and biological product development — and the bias, transparency, and governance questions that come with it.
5 Ways Artificial Intelligence Is Transforming Healthcare
From diagnosis to virtual assistants, five concrete ways AI is already reshaping how healthcare gets delivered.
Leveraging LLMs and RAG in Healthcare: Enhancing Information Access and Decision-Making for Clinicians and Data Scientists
How large language models paired with retrieval-augmented generation improve clinical decision support, patient education, and medical research — and the risks to manage along the way.
Building Confidence in AI for Healthcare: Four Strategies to Enhance Trust Among Clinicians
Four concrete recommendations for building clinician trust in AI tools — engagement, explainability, validation, and training.
Revolutionizing Cardiac Care: How AI and Remote Patient Monitoring Are Shaping the Future of Cardiology
AI-driven risk prediction, clinical decision support, and remote monitoring are reshaping cardiology workflows and outcomes.