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Since man first set foot on Earth, he has been in a constant search to find convincing answers to his questions about the causes of diseases and how to escape from them. Humans have experimented with various types of herbs, and have taken the amulets of priests and the talismans of fortune-tellers as a bulwark to protect them from the troubles of life.
The idea of searching for the best treatments has continued to linger in the minds of scientists to this day. Although humans have the best medical diagnostic methods, the most skilled medical personnel, and the finest hospitals, what happened… artificial intelligence The development of the health system in the past few years is incomparable to what came before it, as it possesses enormous potential that has helped improve care, reduce costs, and ensure a promising healthy tomorrow.
The source of his strength
We hear the term artificial intelligence every day, and to explain this concept briefly, we say: It is an attempt to make computers behave with intelligence that is close to the intelligence of humans.
The current strength of artificial intelligence is its ability to learn from a large set of data and recognize patterns that can be used to diagnose disease conditions, as well as its ability to deal with all this data and come up with solutions very quickly.
Currently, billions of dollars are invested in Research Artificial intelligence in medicine, human biology, and healthcare. Artificial intelligence with all its branches (machine learning, deep learning, and neural networks) is increasingly finding its practical application in creating data processing systems and automated diagnosis of diseases, developing new drugs based on modeling, as well as in developing systems for analyzing different types of biomarkers.
The high ability of artificial intelligence algorithms to deal with data, predict diseases, and find appropriate treatments for them has made them a great source and reference for researchers, as successful prediction of serious diseases such as cancer and cardiovascular diseases can significantly increase the rate of human survival and increase the chances of recovery. .
Prediction of sudden death
Sudden cardiac arrest (SCA) is a major health problem worldwide and kills 90% of people who suffer it. In the United States alone, about 360,000 people die from it every year.
AndI showed Recent studies show that more than half of patients suffer from warning symptoms hours or days before a cardiac arrest occurs, but due to patients’ negligence on the one hand, and wrong interpretations of the patient’s signs by medical personnel, such a number of deaths occur.
He says Dr. Sudden cardiac death “It is a burden on public health – between 10 and 20% of total deaths, and it is difficult to predict, and usual methods fail to identify people at high risk, especially at the individual level.”
But recently, according to joint international scientific research conducted by experts from several specialties, it has indicated the possibility that artificial intelligence can predict the occurrence of a sudden cardiac arrest before it occurs, which contributes to expediting the necessary first aid and removing the danger, according to preliminary results. To study Presented at the 2023 American Heart Association Resuscitation Science Symposium.
Using artificial intelligence, researchers analyzed the medical data of 25,000 people who died suddenly, and 70,000 who were hospitalized due to a heart attack and did not die in Paris, France, and Seattle, Washington. They then built algorithms and equations that included the person’s medical details, such as treatment for high blood pressure and history of heart disease, in addition to disorders. Mental and behavioral disorders including alcohol abuse.
To increase the study sample, scientists were included Data More than 1 million people visited the hospital and 10 million prescriptions came from doctors’ offices over a period of up to 10 years.
After all that, the new algorithms were tested on existing data, and then they were asked to predict deaths. The algorithm was able to predict the death of people three months before their date of death, and the accuracy of the algorithms in predicting deaths exceeded 90%.
This means that the analyzes conducted by the algorithm on patient data can determine when danger will come to the patient, which sends a warning to doctors of the seriousness of the situation, urging them to intervene before it is too late.
AndHe said Professor of Medicine at the University of Paris
He added: “We also discovered that risk factors differ from one individual to another, and are a combination of neurological, psychological, metabolic, and cardiovascular data. This is a picture that is difficult for doctors to find the relationship between all of them and predict what will happen.”
Other heart diseases
And in study Performed on patients in Taiwan, AI technology based on ECG interpretation has reduced the time needed to diagnose and transport people with heart attacks to cardiac catheterization centers for treatment.
During a heart attack, the heart is deprived of oxygen due to reduced blood flow to the heart due to a blocked coronary artery, and this may lead to damage to the heart muscle. Timely diagnosis and treatment is crucial to restoring blood flow, reducing heart muscle injury, and increasing a person’s chance of recovery after a heart attack.
This study investigated whether using artificial intelligence with ECG testing could help health professionals diagnose STEMIs and transport patients to the cardiac catheterization laboratory more quickly. These algorithms were 88% accurate.
Another use of artificial intelligence is that a Mayo Clinic study used a new screening tool for people with a certain type of heart problem that has no apparent symptoms. This condition is known as “left ventricular dysfunction.” This AI-powered screening tool detected people at risk for this condition in 93% of cases.
It is one of the applications that I developed May Clinic These algorithms are integrated into Apple Watches to detect poor pumping force in the heart, or what is known as “reduced ventricular ejection fraction.”
Concerns and challenges
Despite all of the above, artificial intelligence is like any new science. Just as it has supporters and enthusiasts for automating everything, there are warnings and fears voiced by many. One of the concerns that was raised is the issue of legal liability. If a medical error occurs, who will bear responsibility?
Meaning that all algorithms and computing systems are not a legal entity, should the patient sue the owner, programmer, manufacturer, or anyone else? Can artificial intelligence be subject to criminal liability?
These AI dilemmas are not unique to health. For example, there have already been some self-driving car accidents, some of which resulted in deaths, for which legal specialists have not yet found a solution.
Also, a recent study showed that artificial intelligence can learn racial bias or gender bias, based on the words that form part of the data that it was learning from, which may lead to showing false results biased by race, religion, or gender if the person who programmed and built those algorithms. Biased towards a particular party or race.
