Paged KV Caches for Real-Time Healthcare Payment Integrity Agents
Payment integrity teams are starting to ask a new question: can LLM agents help review healthcare claims at operational scale rather than only in pilot environments?... Read more.
Heterograph Neural Networks Plus LLMs to Expose Collusive Billing
Most billing abuse does not look dramatic when viewed one claim at a time. A single encounter may appear ordinary, a single procedure may be defensible, and... Read more.
Vertical Federated Learning for Payment Integrity Across Competing Payers
Payment integrity has a fragmentation problem: each payer sees only part of the pattern, while the most sophisticated abuse often spreads across organizational boundaries.... Read more.
Rewriting the Rules of Neural Networks Using Self-Supervised Learning
For years, the empirical law governing neural networks appeared simple: When you wanted better performance, you had to give it more labeled data. That assumption... Read more.
The Moment Diffusion Models Overtook GANs
For most of the last decade, image synthesis was mostly an adversarial affair. Generative Adversarial Networks revolutionized the field by demonstrating that a... Read more.