AI Program Speeds Up Cardiac MRI Analysis for Doctors
Researchers at Cleveland Clinic have developed an AI system that analyzes cardiac MRI images and generates diagnostic reports in seconds, potentially reducing the time radiologists spend reviewing thousands of images per scan.
A single cardiac MRI produces more than 1,000 two-dimensional images sliced from a three-dimensional moving object. Radiologists must manually review each image to identify disease that may appear in only two or three frames, a process that demands years of specialized training.
The AI program analyzes all images simultaneously and compiles findings within seconds. Unlike existing systems that target specific heart conditions, this technology screens for multiple conditions in a single pass.
David Chen, PhD, a researcher involved in developing the program, said the goal extends beyond speed. "AI, at least to me, is not something that replaces human beings," Chen said. "It's to make people more efficient and also bring them back to the practice of medicine, bring them back to getting you in front of people, bring it back to really taking care of the patient."
The technology could improve access to cardiac imaging analysis in settings where radiologists with cardiac expertise are scarce. The system remains in research phase, and developers are conducting additional work before clinical deployment.
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