After millions of patient interactions, we found voice AI belongs in constrained roles, while the largest gains come from automating documentation, compliance checks, extraction, and quality oversight around clinical work....
Artificial Intelligence is currently fractured between two powerful but incompatible paradigms....
In the race to solve complex problems with AI, the default strategy has become brute force: bigger models, more data, larger context windows. We put that assumption to the ultimate test on a critical healthcare task, and the results didn’t just challenge the “bigger is better” m…...
This blog outlines a groundbreaking proof of concept for reimagining medical ontologies and artificial intelligence. Buffaly demonstrates how large language models (LLMs) can unexpectedly enable symbolic methods to reach unprecedented levels of effectiveness. This fusion deliver…...
The healthcare landscape is continuously evolving, and among the most profound shifts emerging is the concept of the Digital Twin for Patients. This technology isn't merely an abstract idea; it represents a fundamental change in how we approach individual health and broader heal…...
In the tech industry today, we frequently toss around sophisticated terms like "ontology" , often treating them like magic words that instantly confer depth and meaning. Product managers, software engineers, data scientists—everyone seems eager to invoke "ontology" to sound info…...
Agentic AI is rapidly gaining traction as a transformative technology with the potential to revolutionize how we interact with and utilize artificial intelligence. Unlike traditional AI systems that passively respond to commands, agentic AI systems operate autonomously, making d…...
Large Language Models (LLMs) have ushered in a new era of artificial intelligence, enabling systems to generate human-like text and engage in complex conversations. However, their extraordinary capabilities come with significant limitations, particularly when it comes to predict…...
Retrieval Augmented Generation (RAG) sounds like a dream come true for anyone working with AI language models. The idea is simple: enhance models like ChatGPT with external data so they can provide answers based on information beyond their original training. Need your AI to answ…...
In Volodymyr Pavlyshyn's article , the concepts of Metagraphs and Hypergraphs are explored as a transformative framework for developing relational models in AI agents’ memory systems. The article highlights how these metagraphs can act as a semantic backbone, enabling AI to reta…...
In the ever-evolving landscape of AI and natural language processing, Retrieval-Augmented Generation (RAG) has emerged as a cornerstone technology. RAG systems allow large language models (LLMs) to access vast knowledge bases by retrieving relevant snippets of information, or "c…...
RPM (Remote Patient Monitoring) CPT codes are a way for healthcare providers to get reimbursed for monitoring patients' health remotely using digital devices. Think of it like having a virtual nurse keeping an eye on you between doctor visits. These codes cover the time spent se…...
In the rapidly evolving tech landscape, the excitement around AI is palpable. But beyond the hype, practical application is where true value lies. As someone who relishes in crafting customized solutions for clients and building internal tools, I've found immense value in creati…...
We all grew up with movies of AI and it always seemed to be decades off. Then ChatGPT was announced and suddenly it's everywhere....
Everything old is new again. A few years back, the world was on fire with key-value storage systems. I think it was Google's introduction of MapReduce that set the fire. It's funny because I remember reading in the '90s that the debate had been settled and that relational databa…...