Ever wondered how AI could shake up the way doctors make decisions? Researchers in the Chinese mainland have an answer: i-EBM, a new digital twist on evidence-based medicine that's set to speed up research and personalize care. 🔬🤖
Developed by a team led by professor Ge Long at the School of Public Health of Lanzhou University and published earlier this year in Chinese Science Bulletin, i-EBM brings together three core dimensions — multi-source data integration, intelligent evidence analysis, and individualized decision support. It aims to turn mountains of medical data into clear treatment plans, faster than ever before.
Traditional evidence-based medicine (EBM) has long combined the best research, clinical expertise, and patient preferences. But it can face hurdles like time lags, isolated studies, and limited patient customization. i-EBM isn't here to disrupt EBM, but to evolve it by merging machine intelligence with human expertise.
Using AI tools such as knowledge graphs, i-EBM weaves connections across scientific papers, electronic medical records, imaging data, and even environmental information. Tasks that used to take months — like literature screening and evidence updating — can now be done in hours or minutes. 🌐🧠
The team has already rolled out digital products for guiding the use of Chinese patent medicines, boosting both research and clinical practice. In collaboration with medical institutions, they're also applying i-EBM to childhood pneumonia treatment, building a multimodal database that integrates imaging, lab tests, and clinical records for more scientific diagnoses and treatment plans. 🩺
Looking ahead, Ge Long and colleagues plan to expand i-EBM research to raise medical standards, promote equal access to care, and ultimately improve health and well-being across communities.
Reference(s):
Chinese researchers inject AI power to evidence-based medicine
cgtn.com
