Artificial Intelligence in Medicine: Examples

Artificial intelligence (AI) has rapidly evolved in recent years and has the potential to revolutionize healthcare as we know it. From improving diagnostic accuracy to personalizing treatment plans, AI has shown promise in various medical applications. This blog post will explore some of the most exciting examples of AI in medicine.

by
Andrés Jimenez
|
February 29, 2024

Artificial intelligence and medicine

To understand what artificial intelligence is, we will start by saying that it is the ability that a machine can have to show off some of the capabilities of human beings (creativity, learning, reasoning).

In addition, it makes it possible for technological systems to connect with their environment and be able to solve problems.

How does artificial intelligence work?

First, the machine receives the data that some of its sensors have already collected, then initiates its processing and issues a response.

Even artificial intelligence systems can adjust their behavior and perform jobs autonomously.

One of its peculiarities is that it makes it possible for machines to acquire different learning from experience and carry out some tasks, just like human beings, by processing vast amounts of data and recognizing patterns in them.

The relationship and types of artificial intelligence. Wikimedia Commons.

Why artificial intelligence and medicine?

Undoubtedly, significant advances in medicine have been accompanied by technology. For several decades, medicine and technology have advanced cooperatively, achieving remarkable development. It is in this context that artificial intelligence appears.

One of the definitions points to the use of learning models that would allow us to find medical information, which, appropriately used, would support improving patients' health.

Thus, we see how advances in information technology and computing have contributed to artificial intelligence being incorporated into modern medical care as a fundamental element.

Now, how does this integration occur?

This is possible through the use of artificial intelligence algorithms, other applications used in current research, and clinical contexts where medical professionals and patients benefit.

When we ask ourselves what the field of application of artificial intelligence is, we see that it benefits the diagnosis and individualized control of patients, and that is what AI is made up of a certain number of trained logical algorithms that will allow the machines, in specific cases, to make decisions based on general rules.

By uniting robotics and artificial intelligence, it is possible to create intelligent machines whose function would be to develop more accurate diagnoses.

In this way, by achieving greater clarity in diagnoses, artificial intelligence becomes an essential tool when making decisions about clinical cases, including applying appropriate treatments and everything that patients require.

Likewise, doctors can access up-to-date information on research that may interest their treating topics.

Another function that artificial intelligence is fulfilling is the analysis of medical images. The tools provided by AI are used for the study of magnetic resonance imaging (MRI) and computed tomography, among others.

Its purpose is to search for injuries or any other result that could go unnoticed due to human error.

Now we will comment on its applications in this field.

MRI Scans of the brain could be used to train automated detection systems.

Artificial intelligence occupies an important place in the area of medical imaging. And it is that according to recent studies, artificial intelligence induced by artificial neural networks has the same efficiency as human radiologists in detecting various conditions, such as breast cancer, among others.

Even the margin of error, compared to the performance of humans, is significantly lower.

On the other hand, it not only helps medical personnel detect the first signs of the disease but also contributes to the management of medical images -which can be very numerous- by determining the essential parts of a patient's history and displaying the vital pictures first.

Artificial intelligence: Personalized treatment of diseases

We have already discussed one characteristic of artificial intelligence: its models can learn preferences, making it ideal for precision medicine applications.

And artificial intelligence can offer patients personalized recommendations 24 hours a day, And something fundamental, too: in real-time.

In this way, it is optional to repeat the same information every time, but it would give patients access to a virtual assistant with AI technology.

This would have the ability to provide answers based on the medical history and particular circumstances of each patient.

Artificial intelligence: To detect and diagnose diseases

Smartwatch displaying a reading of 92 beats per minute. These can be connected digitally to other systems.

One of the significant advantages of artificial intelligence concerning humans is that it does not need to rest. Thus, machine learning models are ideal for checking patients' vital signs under intensive care to account for any complications that may arise and warn of any increase in risk factors.

Although on the other hand, there are medical devices that allow vital signs to be tracked, for example, cardiac monitors (they can observe critical signs); artificial intelligence goes a little further than these devices because it can collect data and explore to know if there are other conditions, such as sepsis, for example.

Artificial intelligence: Clinical Trials

A clinical trial participant receives an injection. AI can speed up the development of new, more intelligent drugs, and it also helps speed up processes like medical codes search.

Artificial intelligence helps make patient outcome coding during clinical trials happen faster and allows updating of the most critical data sets.

It has also been determined that artificial intelligence can reduce the number of searches for medical codes by up to seventy percent.

Artificial intelligence: Genetics

Face2Gene app.

Currently, the existence of a mobile application that allows the detection of genetic disorders and related diseases is a reality.

This application (Face2Gene) uses a facial recognition system, and through a photograph, it can give a highly accurate diagnosis by comparing the image with its database.

Artificial intelligence: Intelligent prosthesis

Brain-Controlled Prosthetic Arm.

Smart prostheses are controlled with an app. The great novelty of this type of prosthesis is that they can learn the movement patterns of the person using it, providing a better fit and adaptation.

Artificial intelligence: Pregnancy

In the case of pregnancy, artificial intelligence is of great help in obtaining a clearer and more precise vision of the fetus.

In addition, by conducting a detailed analysis of the available information, it is possible to know the pregnancy conditions in real-time.

This provides excellent safety during pregnancy and allows for avoiding implementing traditional -highly invasive- procedures to identify malformations.

Conclusion

Artificial intelligence is taking more and more leaps and bounds to solve problems that were thought impossible.

Hand in hand with technological and scientific advances in the field of medicine, artificial intelligence seems, little by little, to erase the limits of what seems impossible and improve our understanding and relationship with the outside world and ourselves, helping and supporting us in solving increasingly complex problems, which used to be left in the hands of advanced specialists.

The future certainly looks bright!