How can artificial intelligence and intelligence analysis choose and improve health systems?

Training of public and private biological health and biological sciences will be essential to promote reliable health innovations and improve information to make accurate decisions in public health issues to meet diseases that affect specific population groups, such as cancer or mental health disorders.

It is necessary for all fronts of society to be seen on both dates of commemoration of the awareness of such shocking issues as the prevention and care of cancer or mental health care, as well as throughout the year, as they are issues of interest to the entire population and should be for governments, health institutions and business sector.

Since it is already present in almost all areas of human knowledge, medical branches are no exception. In SAS we have identified that with data analysis and it is possible to make specific and successful predictions both in the prevention of cancer and in those arising from health problems. We are sure that public institutions in this field are in a timely manner to benefit from these resources by implementing them in their programs.

Timely prevention of cancer

According to our platform he in SAS, increasingly faster, versatile and accurate cancer discovery is possible thanks to various data analysis collected from a universe of patients who conducted studies. Of these elements of analysis such as:

• Segmentation: It accurately identifies and defines the interests of interest in images of radiographic studies (tumors, microcalcifications, etc.).
• Classification: Deep learning algorithms can classify these regions as benign or malignant, based on a large amount of training data that specialists have previously learned.
• Discovering Models: It can even identify even the most delicate models in images that can be difficult to detect from the human eye, which improves the sensitivity of detection and is right in cases that can be thrown out of error initially.

According to the National Institute of Cancer of the United States, this type of analysis has been carried out for more than 20 years and, among other benefits or successes, the frequency with which patients should be carried out in the next 5 years, which allows for effective monitoring to detect this condition.

For countries such as Mexico, in which according to INEEGI data, in 2023 91 thousand 562 cancer deaths were recorded: 52.4% of which were presented in women and 47.6% in men, both government and civil society organizations and private initiatives are required to take into account the integration, management, automation and analysis of health data.

Political will in public management is also indispensable, joint work with private health and opening institutions and all fronts, in order to integrate data collection data and analysis that will allow medical oncologists and/or specialists to have the necessary detection of cancer.

Prevention and Care in Mental Health Problems

Another of the functions he in health is that of preventing mental health. In it, significant advances have been seen, because SAS has been implemented by various programs through which situations have been implemented that allow to prevent suicides in patients suffering from depression or anxiety.

According to the Ministry of Health’s psychiatric care services (SAP), there are at least 3.6 million adults suffering from a type of depression, a condition that was aggravated by the conditions in which the world’s population was condemned by preventive measures taken by health authorities before Covid infection.

Although it is difficult to have an accurate figure of the real number of people suffering from any mental illness, the use of it and the analysis of data collected from public and private health systems, they will undoubtedly allow to recognize a precise number of affected people and, consequently, to know exactly their effects to participate in a more effective and effective way.

We are sure that, by connecting to the internal or external data of the spotlight systems, medical electronic data, insurance claims, the results informed by patients, health equipment and reliable external data suppliers, as well as health -related data sources will be more effective ways to allow specialists to issue a diagnosis and therefore.

In SAS we have conducted studies together with other mental health institutions such as Black dogswith which various mental health projects have been performed that include tests performed in different programs, different types of therapies and new forms through which it is possible to identify the symptoms of risk for patients.

There are many types of treatments and therapies available to people with anxiety and depression. Sometimes, a person has to try three or four different treatments before finding what works for it, which takes a long time, can be very expensive and, most importantly, it means that people cannot get treatment as soon as they should.

It is for all this that with the use of advanced data analytics and it will be possible to reduce significantly for public administrations, both care and diagnostic time and costs associated with these, if the cutting tools apply to the detection and prevention of these conditions; which would lead to the salvation of life. So we call on health authorities and the federal government to consider the inclusion of these solutions in their action plans.

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