A new Artificial Intelligence algorithm “beats” the classic cardiologist in precision

An artificial intelligence (AI) based on a new algorithm can diagnose heart problems "better" than a cardiologist, according to a new study of 100 patients. It is the recent study carried out by the University of Seoul, discussed at a congress of the Italian Society of Cardiology (SIC), according to which the new AI model is able, with an accuracy of 98.7%, to detect a serious myocardial infarction, STEMI , from a standard ECG.

Devices for detecting cardiac problems

Artificial Intelligence cardiologist

Nowadays, there are some technological products capable of performing an ECG, but none of these are considered a full-fledged medical device by the medical community. To give an example, we can look at the Apple smartwatch (now in series 9), which since version 6 has had a sensor on board that allows you to perform a level 1 ECG by placing your finger on the digital crown .

To be considered reliable, an ECG, a graphic reproduction of the electrical activity of the heart, must be made up of all 12 of its derivations, but the devices currently in circulation are only able to provide a partial overview of the same.

The incidence of heart attacks in Italy

Artificial Intelligence cardiologist

Unfortunately, every year 120,000 Italians suffer a heart attack and, of these, 25,000 die before reaching the emergency room. Ciro Indolfi, President of the Italian Federation of Cardiology and Full Professor at the Magna Grecia University of Catanzaro, explains that when a patient with chest pain activates the 118 emergency system, it is of fundamental importance to carry out an ECG within 10 minutes of the first medical contact to identify especially subjects with severe heart attack, known as STEMI (acute myocardial infarction associated with ST-segment elevation), caused by a complete coronary occlusion, who benefit from an angioplasty and an urgent stent.

Very important information but not visible to the human eye is: the function of the left ventricle, the heart rhythm (measurable with current smartwatches) and the presence of a pericardial effusion starting from a simple ECG". Again according to Professor Indolfi, " it will be enough to photograph the ECG of a patient with chest pain with a smartphone to obtain the diagnosis of a heart attack and its severity" .

The role of Artificial Intelligence as a support for the cardiologist

With the introduction of increasingly sophisticated artificial intelligence, such as generative AI, the medical community will be able to increasingly make use of support, in some cases vital, to precisely determine the severity of a patient's anomaly. Clearly, these generative models will never completely replace the human being , but a doctor who uses new technologies will always surpass the "classical doctor" in analysis, speed and precision of any diagnosis.

To get a clearer idea of ​​what generative AI is, we can look at ChatGPT, which are algorithms based on machine learning mathematical models that operate on the 'learn by doing' methodology. Models of this type can be found in the battery management of the most recent iPhone models, in the "optimized charging" function, i.e. the system learns from our habits and tries to program a charging time interval to give the device, and in particular the its battery, a longer life possible.

Edited by Giulio Montanaro

The article A new Artificial Intelligence algorithm "beats" the classic cardiologist in precision was written on: Tech CuE | Close-up Engineering .