In an article in Healthcare IT News, Bill Swicki and Dr. Razmi discuss the impact of the large language models (LLM) on the capabilities of Natural Language Processing (NLP) for healthcare applications. Given the nature of healthcare data and that more than 80% of the data is unstructured, proficient NLP can mean the difference between marginal benefits, which is what the old NLP technology delivered, and significant impact that can drive widespread adoption of AI.
From the article:
When ChatGPT demonstrated its ability to respond to plain English questions, it marked a significant milestone in AI development. Yet despite this, and more than 700 FDA-approved AI applications, healthcare adoption remains limited.
Dr. Ronald Razmi believes generative AI has the potential to revolutionize healthcare but advises caution, noting the essential need for real-world performance validation. Razmi is author of AI Doctor: The Rise of Artificial Intelligence in Healthcare and cofounder and managing director of Zoi.
Q. You are the author of the book “AI Doctor.” It certainly has a compelling title. Please talk a bit about the thesis of your book.
A. I wrote “AI Doctor” to provide a 360-degree view of what it will take to accelerate the adoption of this transformative technology in healthcare. In the first few years of AI in healthcare, significant attempts and investments have been made to build and commercialize the first wave of health AI systems.
Unfortunately, almost a decade and billions of dollars later, we don’t see widespread adoption of this technology. In fact, a recent survey showed that 76% of healthcare workers indicated they have never used AI in their jobs, including doctors and nurses. Where is the disconnect? For any digital technology to gain traction in healthcare, it needs to satisfy a number of requirements.
https://www.healthcareitnews.com/news/what-genai-and-renewed-interest-nlp-mean-healthcare
