AI in medicine: how is it applied today?

Redacción Tokio | 11/11/2022

Artificial intelligence is one of the most revolutionary recent technologies that have come forward. Its applications are endless but, without a doubt, it’s important to highlight the importance of artificial intelligence in Medicine. In this case, technology saves lives.

In this article, we’re going to explain what artificial intelligence is, its applications in the medical field and how it can be developed.

What is Artificial Intelligence?

Artificial intelligence, in its strictest sense, equals machine intelligence. In other words, thanks to a series of algorithms, different devices are able to develop autonomous thoughts and decisions based on data.

Within the field of artificial intelligence, two concepts emerge that must be taken into account:

Machine learning: it can be understood as a branch of artificial intelligence based on the creation of systems that, applied to machines, are capable of interpreting an algorithm to identify huge volumes of data, analyze them and make predictions.
Deep learning: it is considered as an advanced level of artificial intelligence. In this case, again thanks to diverse algorithms and mathematical functions, machines could be able to develop autonomous behaviors after processing data systems. The idea behind this concept is to come close to imitating the human central nervous system and apply it to machines.

As you can see, although it may then develop into medical applications, the development of artificial intelligence is purely related to computer sciences. If you also want to contribute to this discipline, our artificial intelligence course will guide you to learn to develop applications that can end up helping thousands of people.

AI in medicine: direct applications

Now that you understand what artificial intelligence is, let’s put aside the abstract concepts explained above so that you can have a look at the applications of AI in medicine.

Medical and imaging analysis

The main advantage of artificial intelligence in medicine is the speed with which it is able to process large amounts of data. A significant benefit for analysis in different medical tests, whether these are genetic studies or diagnostic imaging tests such as resonances, where the concept of machine learning that we explained above can be applied.

What artificial intelligence in medicine allows us to do is to quickly identify potential anomalies or, on the contrary, the similarities with cases that have been previously analyzed.

Of course, for the application of AI in Medicine to be complete, national health services must present the right technological tools and be completely digitized. Otherwise, data won’t be analyzed and will become useless.

Medical diagnoses

Another direct application of Artificial Intelligence in Medicine is related to performing medical diagnoses. Closely related to the point mentioned above, this technology is capable of analyzing data in order to accomplish early diagnoses.

AI in medicine is extremely convenient for rapidly developing diseases such as some types of cancer or degenerative pathologies. Identifying these in time allows early treatment so that their progress can be slowed down.

Medical treatments

Pharmacology represents another example of the application of artificial intelligence in medicine. This technology facilitates the work of researchers who are in charge of analyzing thousands of genetic or viral sequences in the quest to find cures or vaccines.

The speed and precision of artificial intelligence in medicine has already meant millions of lives have been saved in an indirect way.

Examples of Artificial Intelligence in medicine

The maximum potential of artificial intelligence in medicine hasn’t been achieved yet. However, different projects have already been birthed and are currently running within the medical field. Let’s see some of them:

Breast cancer

Artificial intelligence in medicine has made it possible to generate systems for early detection of breast cancer through a detailed and quick analysis of mammograms. Many women have already benefited from this structure.

Safer pregnancies

Until recently, fetus development was monitored using ultrasounds that were interpreted by an obstetrician. Depending on whether the baby was visible or not, more information about him or her could be inferred, such as its sex, potential malformations… Thanks to artificial intelligence, this task has been simplified so that it’s possible to access more detailed observations, which adds up to the possibility of generating detailed data analysis processes in real time.

Artificial intelligence will make it possible to eliminate invasive procedures to detect malformations.

Mental diseases

Experience is an important measure. Consider a psychiatrist who has seen MRI scans of 50 patients with dementia. This specialist knows what dementia looks like in an image and that’s why his diagnoses will get better in time, as he accumulates more experience. Now consider a machine fed with data of millions of MRIs of people with mental illnesses: the diagnosis is not only faster, but also takes place earlier and is more precise.

Artificial intelligence has already been applied for detecting mental illnesses of all kinds.

Advantages of AI in medicine

If you want to become educated to develop artificial intelligence with our Python course, these will be all the advantages that your apps for the medical field may provide:

Ease workloads for medical professionals
Provide support for professionals with access to limited qualifications or few resources, such as doctors from hospitals in underdeveloped countries
Precise analysis in record times
Minimize the need of performing invasive and painful procedures on patients
Promote early detection of illnesses, thus also relieving national health services across different territories

Get trained in Artificial Intelligence in medicine and save lives!

Artificial Intelligence can increase productivity and the efficiency of care delivery and allow healthcare systems to provide more and better care to more people. AI can help improve the experience of healthcare practitioners, enabling them to spend more time in direct patient care and reducing burnout”, as explained by the global counsulting firm McKinsey.

With Tokyo School and our training courses, you too can become an important ally for medical professionals. Book your place now in our Artificial Intelligence course and make your contribution to the advancement of artificial intelligence in Medicine!

Main characteristics of Python: find out about them

Python is one of the most important and widely used programming languages today. A system that is more and more employed, especially in fields related to Data Science, Big Data or Artificial Intelligence. Today, we’ll go through the characteristics of Python so that you can get to know this language a little better. In addition […]

Recurrent neural network in Python: how does it work?

In the field of machine learning, specifically within Deep Learning, there are many types of architectures for neural networks. Each of them specializes in performing a specific task. Recurrent neural networks are often used to work with text and stream data. In this article we’ll go through what they are and how they can be […]

What are the Python types of data?

Python is one of the most important programming languages today. A system that is used for the development of different applications, games, websites and also for the creation of AI algorithms. In this article, we are going to see what Python types of data are there, what each of them are and what they are […]

What is AI? The present and future of programming

Artificial Intelligence seems to be part of every conversation today. An interesting thought considering we are the last generation that is more intelligent than machines created by ourselves. Can you believe that? Well, pay attention because we are going to break down the answer to ‘what is AI’ as well as take a look at […]

What is deep learning? Become a Python specialist

If you want to build a future career as part of a promising field, you might be interested in knowing the answer to ‘what is deep learning’ and how to apply it to real life. Our Python course will enable you to acquire the necessary knowledge for this discipline while opening many job opportunities for […]

Machine learning fundamentals in Python

Understanding machine learning fundamentals is a way to approach the future of artificial intelligence, a time that so many pioneers of this technology have dreamed of and that is none other than machines that present similar capacities to those of humans, so that it is possible for them to learn by themselves. Knowing and studying […]

AI developer: the specialist in Artificial Intelligence

AI Developers are starting to become one of the most demanded professional profiles out there. More and more, artificial intelligence is taking more space in the IT sector. Fundamentally associated with machine learning, it is not always considered how it also affects the world of software and application development. The applications of artificial intelligence are […]

How does AI work?

We have already explained on other occasions some aspects of Artificial Intelligence. A discipline that presents multiple and extending fields of study, such as machine learning or deep learning. In this article, we are going to go in depth about how Artificial Intelligence really works. In order to do this, we will begin by defining […]

Advantages and disadvantages of data mining: do you know them?

Today, a large amount of information is generated from different sources and in very diverse shapes and forms. Managing this amount of data can be extremely complex, which is why there are techniques and tools such as data mining that facilitate the extraction of the most relevant information. In this article we are going to […]

What is a Python interface? Learn to create one!

Python is one of the programming languages that has grown the most in recent years. A system under which it is relatively easy to learn to program and create beginner applications. On the other hand, the visual aspect of this language is somewhat more complicated to master, so learning what a Python interface is and […]

In Tokio we talk about...

Augmented realityBig DataCloud ComputingData analysisFront end developmentGame designProgrammingPythonSin categoríaUnrealVideo GamesVirtual Reality