The National Centre for Healthy Ageing, a research institute by Monash University and Peninsula Health in Australia, has developed a new AI-driven method to efficiently identify dementia in hospitals. It researched ways to uplift dementia…
Continue Reading
Detailed social determinants of health (SDoH) is often buried within clinical text in EHRs. Most current NLP efforts for SDoH have limitations, investigating limited factors, deriving data from a single institution, using specific patient…
Continue Reading
Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
Continue Reading
What Is Agentic AI?
Like other forms of artificial intelligence, agentic AI is only as accurate as the data that fuels it. It relies on “a digital ecosystem of large language models (LLMs), machine learning…
Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians for timely management of patients. Although challenging, advancements in natural language processing (NLP), particularly large language models…
Continue Reading
NLP enables humans and computers to communicate in ways never imagined a few short years ago. The results have practical implications for anyone working in healthcare.
By John Halamka, M.D., M.S., Diercks President, Mayo Clinic…
Continue Reading
Delays in translating new medical evidence into clinical practice hinder patient access to the best available treatments. Our data reveals an average delay of nine years from the initiation of human research to its…
Continue Reading
Front and center at Microsoft booth (#2221) at HIMSS25 in Las Vegas is the launch of Microsoft Dragon Copilot, which the company said is the first unified copilot and voice assistant tool clinicians can…
Continue Reading
This systematic review evaluated natural language processing (NLP) approaches for detecting cognitive impairment in electronic health record clinical notes. Following PRISMA guidelines, we analyzed 18 studies (n = 1,064,530) that employed rule-based algorithms (67%), traditional machine…
Continue Reading
Creating an ontology is the essential step in natural language processing (NLP). To improve patient safety in this era of generative AI, it is crucial to develop a standards-driven, ontology-based architecture for patient safety…
Continue Reading
