What is the purpose of integrating medical LLMs for patient journeys? Integrating Document Understanding, Reasoning, and Conversational Medical LLMs (Large Language Models) enables healthcare organizations to construct longitudinal, context-rich patient...
Conversational AI is redefining how patients engage with healthcare. Evolving far beyond basic chatbots, today’s AI-driven systems can interpret clinical language, capture structured histories, triage symptoms, and deliver ongoing support....
The latest version of TextMatcher in Healthcare NLP introduces powerful linguistic enhancements such as lemmatization, stemming, stopwords removal, and token shuffling. These new features provide a flexible yet efficient way...
The first of several new spinoff companies, Martlet.ai reimagines how payers and providers approach HCC coding with an on-premise, secure, AI-based solution John Snow Labs, the AI for healthcare company,...
Adverse events remain a persistent and costly challenge in healthcare. From medication errors and delayed diagnoses to post-operative complications, these incidents undermine patient safety and inflate the cost of care....
Demos
See More