Discover how Generative AI Lab 7.4 simplifies LLM evaluation with long-form annotation comments and real-time XML tooltips. Designed for healthcare and regulated domains, these features reduce rework, improve accuracy, and support better decision-making.
In LLM evaluation, a single error like a hallucination in a drug interaction summary, can cause problems. It may lead to compliance issues or delays in clinical trials. In these...
What is the role of LLMs in summarizing medical research? Large Language Models (LLMs) are reshaping how clinicians and researchers engage with the ever-growing body of medical literature. By summarizing...
Nearly 80 percent of healthcare data is unstructured, from clinical notes and EHRs (Electronic Health Records) to pathology scans and research PDFs. AI projects depend on turning this information into...
How is NLP and LLMs changing the future of digital health records? Natural Language Processing (NLP) and Large Language Models (LLMs) are transforming Electronic Health Records (EHRs) from static data...
What is data governance in healthcare AI? Data governance in healthcare AI refers to the frameworks, policies, and practices that ensure data used for developing and deploying artificial intelligence is...
Demos
See More