The healthcare industry has seen rapid advances in artificial intelligence (AI) and machine learning capabilities in recent years—from virtual health assistants and drug discovery to development and ...

Corti, maker of AI foundation models for healthcare, has released a new agentic model for medical coding that it says ...

ICD-10-CM coding can be challenging for coders in the outpatient setting. It is important to remember that the Official ICD-10-CM Guidelines for Coding and Reporting provide a road map to ensure ...

Corti, the frontier lab for clinical-grade AI, today released Symphony for Medical Coding, an agentic model that outperforms OpenAI and Anthropic - as well as Amazon, Oracle, and Google - in medical ...

The clash between payers and providers over AI-driven coding is intensifying, with insurers arguing that documentation tools are inflating reimbursement without corresponding care.

An association of health information managers, clinical coders, and clinical documentation specialists in Australia has released a guideline for adopting clinical coding AI solutions. The guideline ...

The need for autonomous coding solutions is multi-faceted and increasing. This need stems mainly from a shortage of qualified coding resources, staggering numbers of patient charts to code, constantly ...

Medical coding is the foundation of how healthcare systems understand themselves. There is a code for being struck by a duck ...

Copenhagen-based Corti has introduced a new AI system designed to tackle one of healthcare’s most persistent operational challenges: medical coding. The company’s latest release, Symphony for Medical ...

Everything hospital executives need to know about the importance of clinical documentation improvement is summed up in one single fact: CDI fuels correct reimbursement and accurate quality reporting.

We created an annotated corpus of tumor morphology and topography mentions consisting of 1,101 documents. We combined it with the CANTEMIST corpus (Cancer Text Mining Shared Task). Specifically, we ...