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Artificial intelligence in medicine has had a positive impact on human health: applications in healthcare range from speeding up the slow and costly development of new drugs to analyzing a patient's genome or providing more accurate diagnoses. The future looks considerably more optimistic.
To understand this topic well, it is important to understand that AI is a technology based on the neural network model of the brain. AI uses many different types of information, such as algorithms, pattern matching, rules, deep learning and cognitive computing to learn to understand data sets.
This technology has applications in the diagnosis and follow-up of patients with personalized prognostic evaluations.
Furthermore, if we combine this technology with robotics, we will be able to develop intelligent machines that make diagnostic predictions or are significantly more productive in their work.
Improving health outcomes
The use of artificial intelligence (AI) in medicine is an important step in localizing medical data and uncovering new insights that contribute to improved healthcare outcomes and, in turn, improved patient experience. For AI to become a fundamental element of today's healthcare, technological advances in computer and data science are crucial. Artificial intelligence and its algorithms often help healthcare professionals in clinical settings and, more importantly, in research.
Healthcare professionals can tackle complex problems in a short time using this technology, but without it their approach would be slow, difficult and much more ineffective.
Although talking about this type of technology may seem futuristic, it is crucial to bear in mind that it is currently widely used
Studies have shown that artificial intelligence algorithms are able to detect diseases earlier than an expert, thanks to data analysis and trained algorithms that can discover hidden data that can signal the onset of some diseases. AI is a tool that can be used to one's advantage, especially for the early detection of incurable diseases, allowing faster action.
Disease prevention
Disease prevention is one of the advantages offered by artificial intelligence in medicine. AI is able to determine the causes of many pathologies, where it is required to train the algorithm to learn a particular diagnosis before using statistical techniques to demonstrate what the causes are.
Before the introduction of artificial intelligence (AI) in medicine, health prediction models could only take into account a small number of data points as long as they were clean and well organized. However, deep learning technologies and sophisticated machine learning tools have been shown to actually support human capabilities to perform these tasks.
Applications of artificial intelligence in medicine
IA is a tool to support medical staff, complementing and enhancing their work, so it can be practically applied in all areas of medicine. Here are some examples of how IA has been used in medicine to illustrate all the above-mentioned advantages that already exist in this field.
Medical and imaging analysis
The speed with which AI can process large amounts of data is one of its most valuable features. This is especially important for analyzing various medical tests (MRI scans, genetic studies, etc.).
In fact, there are more and more electronic records due to the increased use of wearable devices and the collection of data through sensors, which allows a greater volume of data to be processed and analyzed thanks to AI.
Robotic Guardians
Is there such a thing as a robotic nurse?
It appears to be one of the key components in providing care for elderly and dependent patients in the future. Robotic pets have already been developed for therapeutic purposes to help Alzheimer's patients. Patients' brain functions are stimulated by the robotic pets, delaying their cognitive problems and improving their quality of life, while reducing dependence on social services.
On the other hand, the use of telemedicine is already helping to avoid unnecessary visits to the medical center and allowing greater personal autonomy.
Creation of pharmaceuticals
Finding effective new drugs by conducting clinical trials can take more than a decade and cost billions of dollars. Therefore, streamlining the process through the use of AI could truly change the course of history.
In the most recent Ebola outbreak, an AI-based algorithm was used to examine potential new drugs that could be developed to treat the disease. Where a similar analysis usually takes months or years, the program discovered two drugs that could save thousands of lives by reducing the infectivity of the Ebola virus. Ebola in just one day.
In addition, the use of computer models eliminates the need for animal testing.
Genetics
This is one of the fields that will benefit most from the use of AI in the future. There are already tools that demonstrate this, such as a mobile application that makes use of a facial recognition system to identify rare diseases and genetic alterations. This technology can process a data warehouse of up to 8,000 different diseases with just a single photograph.
The rapid development of the AI market for medical imaging should translate into significant changes for the medical community. There are currently many ambitious projects, but few of them are actually used for the various reasons mentioned in this article.
Conclusion
Issues of responsibility and morality primarily concern the way a product is used and developed, rather than the product itself. In other words, the developer must keep his options open and refrain from jumping to conclusions. Of course, the physician will have to make the decision himself, although with the help of technology and using it as a trusted second opinion, we can also see that artificial intelligence is already a part of our daily life and not only influences medicine but also different areas.
