AI model predicts risk of death in heart patients and helps save lives

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Summary
Artificial intelligence was responsible for saving lives through a study that showed a 31% reduction in overall mortality among high-risk patients in two hospitals in Taiwan.

Photo: Freepik/DC Studio

A system of artificial intelligence managed to save lives. In Taiwan, AI alerts doctors to visit certain patients as heart tests showed a result that indicated a high risk of death.

On a clinical trial randomized trial, the result was a 31% reduction in overall deaths among high-risk patients. Approximately 16,000 patients in two hospitals participated in the study.

Chin Lin, from Taiwan’s National Defense Medical Center, together with his team, trained the artificial intelligence model with more than 450,000 test tests. electrocardiogram (ECG), together with patient survival data from these ECGs.

According to the study, the AI ​​learned to produce a score that represented patients’ individual risk of death. Those who scored 95% or higher were considered high risk.



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To test the AI ​​alert system, 39 doctors from two different hospitals were chosen. Nurses entered the results of each ECG into a computer server. The AI ​​model then analyzed the results, alerting doctors quickly if it identified that the patient was at high risk.

The AI ​​system not only reduced the risk of death from general causes, but also decreased deaths of high-risk patients from heart problems by more than 90%.

Lin and his colleagues believe that artificial intelligence predictions are capable of helping to pay attention to the highest risk group, as doctors generally follow up alerts with more diagnostic tests and additional treatments for patients.

“This is really extraordinary,” says Eric Topol of the Scripps Research Translational Institute in California, who was not involved in the research. “It’s very rare for any drug to produce a 31% reduction in mortality, and even rarer for a non-drug – that’s just monitoring people with AI.”

The AI ​​alert system is already being used in 14 military hospitals in Taiwan.

Source: Byte Editorial

The article is in Portuguese

Tags: model predicts risk death heart patients helps save lives

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