A few minutes saved during a medical examination may seem insignificant, but across hundreds of patients, the difference can become substantial. Artificial intelligence is now offering cardiologists a way to reduce the time spent examining heart images, potentially making cardiovascular services more efficient.
The technology is gaining attention following research presented at the American Heart Association’s Scientific Sessions 2026. Scientists investigated whether computers could prepare useful medical interpretations that doctors could review instead of starting every report from scratch.
The experiment focused on echocardiography, a procedure that uses ultrasound to show the heart in motion. These images help medical professionals understand how the heart works and identify abnormalities that may require treatment. With hospitals handling many examinations, preparing reports for every patient can place considerable demands on cardiologists.
To examine AI’s usefulness, researchers worked with 1,200 scans collected from 21 medical centers in Northern California. An artificial intelligence system generated preliminary interpretations, while human specialists prepared alternative reports. Cardiologists subsequently reviewed the documents without being told their authors.
The results offered an encouraging comparison. When reviewing computer-generated reports, doctors spent an average of 4.60 minutes completing each interpretation. Preparing reports without AI support required approximately 8.50 minutes. The difference translated into nearly half the usual reporting time being saved.
The researchers also examined whether the faster process affected the quality of medical interpretations. Cardiologists made significant corrections to 50.60% of AI-produced reports. For reports put together by sonographers as well as other cardiologists, substantial changes were recorded in 49.7% of cases. The findings indicated that the computer-assisted method was comparable to alternatives authored by humans.
Interestingly, AI-generated reports also agreed more closely with earlier interpretations found in patients’ medical records. Doctors reviewing the documents were unable to reliably determine which ones originated from the computer system.
Such improvements could have practical consequences for healthcare facilities. Cardiologists might spend less time preparing documentation and more time examining patients, discussing treatment and addressing other clinical responsibilities. Faster reporting could also help patients receive information about their examinations sooner.
However, the technology still depends on human oversight. Doctors must verify the findings, consider the patient’s medical history and take responsibility for approving the final interpretation. Researchers also noted that the experiment did not establish whether AI improves long-term patient outcomes.
Although further testing is necessary, the findings demonstrate how artificial intelligence could contribute to more efficient heart care. Rather than replacing specialists, the technology may help them manage demanding workloads while preserving their role in medical decision-making.
For companies like Alibaba Group Holding Ltd. (NYSE: BABA) engaged in the development of AI models, the findings of this study offer encouragement because AI is proving its usefulness in a sensitive field like cardiology.
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