With each passing month, artificial intelligence technologies are developing more and more, neural models are becoming more advanced, they can perform more and more tasks that were originally considered the prerogative of humans. Medicine is no exception. At the moment, a huge number of large companies and technological startups in the field of machine learning are engaged in the development, creation and testing of neural networks for performing medical tasks that will help make medical consultations accessible to everyone.
The cult of health and a healthy lifestyle is an integral part of modern society. Almost all people strive for a toned physique, beautiful and smooth skin, as well as the complete absence of health problems, both physical and mental. Thanks to the rapid development of ML, people from all over the world can use neural networks in medicine to take care of their health. In this article, we will talk about whether AI exists for health, discuss their capabilities, features and benefits, and also talk about how to properly use computer intelligence to take care of health.
Are there medical neural networks?
In order to answer the question “Do neural networks exist for medical needs?”, it is necessary to briefly describe what they are. A neural network is a specialized program that learns from large amounts of data and helps optimize routine tasks, as well as solve non-standard issues. Most people consider artificial intelligence to be something magical and incomprehensible to the mind of an ordinary person, however, this is a misconception. The work of AI is similar to teaching a person new skills: a computer model is built on the basis of virtual neurons that repeat the structure of brain cells.
Let’s give a simple example: when a child learns the skill of reading, he opens a book and encounters a letter many times, learns to compose syllables, words from them, and sentences from words. Only after a huge number of repetitions will the child learn to read. The learning process of a computer brain is not much different from human learning: a neural network also needs raw data on the basis of which it will learn to solve problems and problems.
Let’s talk in more detail about how artificial intelligence processes information. Some information is fed to the input of artificial neurons, with which the neural network will have to work. By means of improvised synapses, a signal containing information is transmitted from layer to layer, while all synapses have a special weight coefficient, and each subsequent neuron can receive several input signals. The information that the neuron receives is the sum of all the data multiplied by the corresponding weight factor.
The value that was obtained as a result of the signal passing through the neurons is transferred to the activation function, it will already represent the output information that will have to travel further through the network layers until it reaches the output.
Medical neural networks – the future of medical science
ML approaches are actively used to work with various types of information: from images and audio files to text. Artificial intelligence is most often used in the field of medicine for image processing. The workflows of medical institutions are always associated with the collection, storage and processing of visual information: X-rays, CT scans, histological examinations, etc. To optimize the work of medical staff and increase the accuracy of the results, AI models trained specifically for analyzing medical information are used.
The field of machine learning, which creates software tools for processing visual information, is called Computer Vision. With the development of medical technologies, this field is becoming more and more popular, and many MedTech companies are engaged in promising software developments for clinics and hospitals based on advanced CV technologies.
In addition to analyzing X-rays and CT scans, artificial intelligence can text doctors to accurately determine diagnoses and create appropriate treatment plans for patients.
The possibilities of neural networks in medicine
Since the first neural networks appeared, many research groups, technology corporations, and enthusiasts have been trying to integrate this innovation into the medical field. AI models show high efficiency in medical image processing tasks: MRI, CT and X-ray, increasing the accuracy of anomaly detection and the speed of diagnosis. In addition, the computer mind can quickly process huge amounts of data to find new formulas and compounds that may be useful in the development of medicines. The benefits of AI are not limited to automation and optimization.
AI capabilities for diagnosis and treatment:
• Differential diagnosis is a feature that is very useful for recent graduates of medical schools, because it helps to structure thoughts and expand the range of possible diagnoses. The model receives a complete description of the clinical case, analyzes the data and, based on them, provides several probable diagnoses, the exact definition of which remains with the attending physician. It is important to note that the work of artificial intelligence will not replace a real doctor, because a specialist still needs to check all the options and choose the one that best suits a particular clinical case.
• Simplifying interaction with patients is a great opportunity, if necessary, to explain the patient’s diagnosis in simple language and tell them how they should be treated. With the help of neural networks, it is possible to significantly facilitate the processes of social interaction with patients, create explanatory booklets and handouts.
• Analysis of modern scientific publications – medical activity is directly related to continuous training: specialists need to learn new methods of treatment and diagnosis from scientific publications and research. This process may take too long. Thanks to AI, you can successfully analyze scientific articles and get all the necessary explanations.
• Creation of personalized treatment plans – based on the diagnosis and additional information about a specific clinical case, artificial intelligence can develop individual treatment plans that take into account the characteristics of each patient. In addition, the models can process data on the human body’s response to various types of treatment, which will help select the most effective methods.
• Initial consultations – most people prefer not to consult a doctor when they experience negative symptoms of a particular disease, believing that the disease will pass them by itself. This approach is very harmful, it can lead to a serious development of the disease. Thanks to the advent of AI, a person can use it to make a preliminary diagnosis of their health status and receive clear recommendations for improving their mental or physical condition.
• Personal psychological sessions – modern text models of neural networks can effectively replace a real psychologist. Based on the patient’s complaints, the model can give him advice that will help him overcome various life difficulties, no matter how difficult the problem may be.
Medical clinics around the world have already appreciated the benefits of using artificial intelligence technologies in the field of treatment and diagnosis. There is a clear trend towards the introduction of AI to assess the quality of medical care provided and verify the accuracy of diagnoses. The models are able to evaluate treatment protocols according to various parameters, study patient complaints and propose the most effective methods of treatment and rehabilitation of patients.
In cases where the AI detects a poor quality of the doctor’s work, data on protocols and treatment methods are transmitted to an expert doctor, who draws conclusions about the effectiveness of the treatment based on his own analysis.
Types of medical neural networks
Artificial intelligence used in the healthcare sector is divided into several main types, which differ in tasks and capabilities. The main types of neural networks for health:
Diagnostic complexes – such systems based on machine learning and deep learning technologies allow you to get a list of possible diseases and recommendations on what to do next based on input data – complaints and symptoms.
• A Healthy Lifestyle Advisor is a type of text models designed to create personalized recommendations for leading a healthy lifestyle and getting rid of bad habits.
• Virtual psychologist is a neural network designed to help people in difficult life situations. The patient only needs to describe their problems and experiences, the model will support and give advice on overcoming life difficulties.
• AI for monitoring activity – such models work in conjunction with wearable devices: smart watches or fitness trackers, they allow you to receive data from gadgets, analyze them and make recommendations on activity during the day.
• General text models – such giants as Chat GPT, Claude or Gemini fall into this category of AI. Despite the fact that these models are trained as universal chatbots, you can ask them for basic recommendations on leading a healthy lifestyle or find out the symptoms of a particular disease.
• Convolutional models are neural networks that can determine a diagnosis based on an image. They most often work with medical images or superficial injuries.
Features of therapeutic AI
AI for health has a number of inherent features that distinguish it from general-purpose models. First of all, such programs are trained on huge amounts of specific medical data, which makes their use extremely effective exclusively in the field of healthcare. Secondly, the self-learning of networks should be noted, which is an ongoing process. In addition, models for treatment and diagnosis quickly analyze input data and are able to filter visual noise, as well as interference caused by the operation of medical equipment.
In addition, a feature of the use of machine learning technologies in the healthcare sector is the need to monitor the results provided by the program. This technology has not yet reached the peak of its development, therefore, there are risks that the model may make a mistake. In the context of the field under consideration, this can even lead to the death of the patient.
Useful tips for using medical expert systems
Despite the fact that artificial intelligence has already been deeply embedded in our lives, we should not forget that this technology was originally created for experts in their field. That is why it is important to know some basic tips that will help you get the most out of working with models for medicine and a healthy lifestyle.
First, it should be noted that AI can make mistakes, which is why you should not postpone a visit to a specialist if unpleasant symptoms occur. A neural network can only provide an approximate diagnosis, and a specialist should check the results of its work.
The second tip is that you can regularly monitor your activity during the day using wearable devices and artificial intelligence. This approach allows the model to constantly analyze your indicators: pulse, oxygen level, number of steps, etc., for recommendations on maintaining good physical shape.
It is also important not to forget that the best option is to use a suitable type of neural network when any health problems occur. Popular models can handle simple tasks: Chat GPT, Gemini and others.
All neural networks are at hand
Access to all popular neural networks for health and other tasks can be obtained using the Chataibot service. To do this, you just need to go to the official website of the platform and use the free version of popular neural networks without restrictions. The service allows you to receive quick and expert answers on the website, using a browser extension or in chatbots in popular messengers.
The Chataibot catalog includes the latest versions of neural networks from large IT companies that can process various types of data and solve any user’s tasks: from developing a training plan based on diet and physical activity to accurately diagnosing infant diseases.
A user of the Chataibot service can receive answers to all questions from expert systems, analyze images and files. Artificial intelligence can be used for education, work, or an active lifestyle. The presented models will help to solve all the questions posed by the user.
Results
Thanks to a huge technological leap, artificial intelligence models are becoming more sophisticated every day. This development has contributed to the beginning of the use of neural networks in the healthcare sector for the diagnosis of diseases, the development of personalized treatment plans, as well as an objective assessment of the actions of medical professionals.
In addition to exclusively specialized use, such AIS can be used for consultations on active lifestyle, dietetics or nutritionology. In addition, artificial intelligence can replace expensive sessions with a psychologist, listen to you and give you advice on how to cope with life’s difficulties and problems.
There are a huge number of artificial intelligence models that are used in the medical industry. Some of these programs are available even to ordinary users. For example, Chat GPT can be conveniently used using the Chataibot service in a browser, using an extension, or in messengers.
If you want to use neural networks as consultants in matters of health and treatment, you should understand that they can also be wrong. That is why you should not blindly trust a program, no matter how advanced it may be, you should always consult with a specialist. The irresponsible use of AI-based expert systems and chatbots can lead to the development of diseases and their subsequent complications. Be attentive and responsible in matters of your own health!
