Cardiologists

Right now, AI mostly helps heart doctors (cardiologists) by doing small parts of their job faster. For example, many hospital AI systems look at medical scans or test results and flag any problems before the doctor even sees them ^[1]. In cardiology specifically, research shows some AI programs can automatically recognize things like heart attacks or heart failure by analyzing heart imaging data .

In other words, a computer might highlight a concerning finding, but a human cardiologist still checks it, examines the patient, and decides the treatment. There aren’t any fully “robot” cardiologists – AI tools act more like helpful assistants. They might draft notes or measure a heartbeat, but the doctor does the talking with the patient and makes the final decision.

AI adoption in cardiology could speed up or slow down for different reasons. On the plus side, many AI tools are already available and even approved for healthcare use. For instance, over 1,000 AI-based medical tools have FDA clearance and about two-thirds of U.S. doctors say they use AI in their work ^[1].

Studies suggest AI can save time and money (by speeding up diagnosis and reducing some costs). Even the U.S. government is creating programs to use AI on patient health data ^[2], signaling support for the technology.