‘Novel’ for an AI trial
“This is an incredible application of an AI technology in a real-world problem,” said Brahmajee K. Nallamothu, MD, MPH, an interventional cardiologist at the University of Michigan, Ann Arbor, who did not participate in the study. “What I really love about this study is it’s actually a clinical problem that has large implications, particularly for under-resourced areas.”
AHA/Scott Morgan
Dr. Brahmajee K. Nallamothu
Using a randomized clinical trial to evaluate the AI platform is “very, very novel,” he said, and called the time improvement “enormous.” Referencing Dr. Lin’s next steps for studying the AI-ECG platform, Dr. Nallamothu said, “if we could push this up even earlier to paramedics and EMTs and prehospital systems, there would be a lot of excitement there.”
He noted the sensitivity analysis resulted in a rate of 88.8% along with the positive predictive value of 88%. “Missing 1 out of 10 ST-elevation MIs in my eyes can still be considered a big deal, so we need to know if this is happening in particular types of patients, for example women versus men, or other groups.”
However, some investigations reported false activation rates as high as 33%, he said. “So, to say that, the positive predictive value is at 88% is really exciting and I think it can make a real inroads,” Dr. Nallamothu said.
Dr. Lin and Dr. Nallamothu have no relevant disclosures.
*Correction, 11/20/23: An earlier version of this article misstated in both trial arms the time to coronary catheterization lab activation.