National Human Genome Research Institute (NHGRI)’s Post

National Human Genome Research Institute (NHGRI) reposted this

View profile for Eric Green, M.D., Ph.D., graphic

Director, National Human Genome Research Institute (NHGRI)

Using tools like artificial intelligence (AI) offers great promise for advancing genomics research – such as helping to interpret large genomic datasets or even help diagnose a patient with a genetic disorder. But researchers are finding that AI still needs significant improvements for routine use in genomics and healthcare.     In a new study published in the American Journal of Human Genetics, NHGRI researchers tested large language models like ChatGPT to answer patient questions and suggest a diagnosis. They found that while artificial intelligence (AI) tools can make accurate diagnoses using textbook-like descriptions of genetic diseases, the tools are significantly less accurate when analyzing health summaries written by the patients themselves.    Researchers hope that AI tools eventually expand access to genomic-based diagnoses. This study highlights the need for studies that use more diverse types of training data to improve the AI tools, making them more robust for clinical applications. I encourage you to learn more about these researchers’ findings! https://lnkd.in/emD7yyRc

Leading AI models struggle to identify genetic conditions from patient-written descriptions

Leading AI models struggle to identify genetic conditions from patient-written descriptions

genome.gov

Kevin Lam

Senior Lead Analyst, Data aNalytics & Ai (DNA) at SynapXe

2mo

Insightful!

Like
Reply

To view or add a comment, sign in

Explore topics