artificial intelligence
Disease prevention plays a very important role in health. This happens when every community has access to a health screening technology. Although smart devices and wearables have many uses, they are now among the many tools people use to monitor their health. These devices analyze the data and have the ability to be checked by the person himself or by experts in the field of health remotely.
Also, patients can benefit from an integrated system and professionals caring for these patients can quickly access the patient’s symptom report, any past and future imaging and biomarker tests, as well as their current treatments. This integration of multiple data can help the decision-making process, and patients can also benefit from other innovations that were overlooked or difficult to implement. In addition, to treat complex diseases, multiple treatment strategies should be available.
It is likely that effective drug design and compounds that target specific molecular pathways will be possible with machine learning. For example, it is possible to analyze cancer patients individually and provide a tailored solution to determine which drug/drugs and combinations can be used for an optimal therapeutic outcome. These advances are beneficial in the field of health and lead to human longevity.
It seems that the work being done by artificial intelligence is efficient in the implementation of daily human tasks and in many cases can even perform better than humans and gives the opportunity to health workers to be able to engage in other productive tasks.
Health data analysis using machine learning and deep learning
Machine learning is a subset of artificial intelligence that includes a group of methods that are used to analyze data by finding patterns. With the help of these patterns, it is possible to understand the complex state of health (for example, to identify the risk factors of the disease) or to predict the future health status of the person (for example, to predict the disease). Machine learning uses mathematical models derived from statistics and probability and uses data that is available to make predictions for data that is not available.
machine learning
Due to the significant amount of medical data being collected, powerful analytical methods are needed to analyze and interpret these data to transform them into valuable data. Artificial intelligence methods such as machine learning have the ability to extract useful information from these massive data and use them to improve the health system.
What is deep learning?
Deep learning is a subset of machine learning and a new version of the neural network method. These models are similar to neural networks, except that they have many layers. Advances in computing power, the availability of more and larger data, and the introduction of new types of data have contributed to the development of deep learning. Discovering complex nonlinear patterns can be done using deep learning, and this work is done with the help of countless hidden layers.
Algorithms used in deep learning automatically generate the desired features in the input data from millions of training datasets. For example, a deep learning model is fed millions of x-ray images labeled with the presence of a tumor/nodule, and once the model has been trained with this dataset, it then detects the presence of a tumor/nodule for a new input (new image). It recognizes
In the following, we discuss some applications of artificial intelligence in the field of health.
Elimination of costs associated with post-treatment problems
Today, the possibility of correct and accurate use of valuable information hidden in data enables more efficient decision-making in almost every industry. Healthcare is no exception to this rule. As healthcare providers move toward a uniform format for recording patient outcomes, vast amounts of data are accessible for analysis by AI-powered systems.
These systems will be able to analyze patterns of outcomes after treatment and find appropriate treatments based on patient characteristics. As a result, AI facilitates clinical decision-making and ensures that appropriate interventions and treatments are designed for each patient, resulting in a personalized approach to each individual’s care. This leads to the elimination of costs associated with post-treatment problems.
Reducing treatment costs with early diagnosis
Devices equipped with artificial intelligence can perform repetitive and simple activities with greater accuracy, including processing CT scan images and special tests, reducing medical errors and facilitating timely diagnosis and action before conditions become serious. Artificial intelligence in analyzing and deciphering mammography images has shown higher accuracy and ability and faster speed than humans, which enables the detection of breast cancer earlier than humans.
Also, AI-assisted detection of vertebral fractures—an early sign of early osteoporosis that is often overlooked in human diagnosis—could significantly reduce health care costs in cases such as osteoporosis.
Checking health status and portable devices
Thousands of people need doctors to know their health and this is a continuous need. However, wearable devices are changing this practice. These devices are a new technology that allows the continuous measurement of vital signs under different conditions. With the flexibility these devices have shown, users can use them while running, meditating, or even while showering. The purpose of these devices is to give people the ability to check their health status, analyze data and manage it.
Robots and devices equipped with artificial intelligence
There are many areas in the health system where robots have replaced human labor, added to human capabilities, and assisted specialists. These include robots that are used for surgical procedures such as laparoscopy, assistants for rehabilitation and patient assistance, prosthetics and implants, and those that help doctors and other medical staff perform their duties. Currently, a number of developing robots use artificial intelligence technology to perform better in classifications, speech recognition, image processing, etc.
Minimally invasive surgery
Routine surgery relies heavily on touch by the surgeon, as touch allows surgeons to distinguish between tissue and organs, often requiring open surgery. But changes are taking place in surgical technology that focus on smaller incisions, fewer open surgeries, and the use of flexible instruments and cameras that assist the surgeon.
Minimally invasive surgery requires motor skills that depend more on instruments than direct touch. Sensors that provide surgeons with better haptic stimulation and use haptic data processing to translate input sensory data into stimuli or data that can be understood by the surgeon. This type of touch data processing uses artificial intelligence, especially the neural network, to increase the efficiency of this signal translation and interpretation of touch information.
Artificial intelligence and medical visualization
Interpretation of data, whether in the form of images or videos, is a difficult task. Specialists should be trained in the relevant field for several years to acquire the ability to recognize medical phenomena and continuously learn new concepts. However, the demand in this field is increasing and we are facing a shortage of skilled workers. Therefore, a new approach based on artificial intelligence is needed to fill this space.
For example, computer vision (including the fields of artificial intelligence) involves the interpretation of images and videos by machines at the level of human ability or higher, including object or scene recognition. Among the places where computer vision has played a significant role, we can mention image-based diagnosis or image-assisted surgery.
Drug discovery and development
Drug development is a long, time-consuming, expensive, and complex process that often takes more than 10 years from the identification of a target molecular pathway until the drug is approved and marketed. Any failure in this process will cause huge financial losses and in some cases this is unavoidable.
In addition, there are many obstacles in discovering the molecular pathway of a new drug that can perform much better than the one already on the market. For this reason, the innovation process in the field of medicine is difficult and inefficient. Today, machine learning algorithms have potential in searching large-scale chemical data, classifying drug compounds, predicting drug reaction, drug-receptor interaction, designing drug compounds, and predicting drug activity.
summary
Today, due to the change in lifestyle compared to the past, more and more people need health care. Health care costs and demand are also increasing dramatically. The healthcare ecosystem is being influenced by technological advances in data science, but this knowledge has yet to realize its full potential. Digitalization of the health system has led to significant improvements in the last decade.
Collecting, managing and storing this data is very expensive and until knowledge is extracted from this data, this data will be useless and worthless. For optimal and useful use of these data, it is necessary to analyze and interpret them. Machine learning and deep learning methods help generate knowledge from collected data and reduce the cost/time pressure on health systems in learning, better prediction and diagnosis. These tools help to improve the overall treatment process from prevention and diagnosis stage to drug administration and treatment.
Artificial intelligence in the field of medicine
Artificial Intelligence (Artificial Intelligence) is one of the sciences related to computers, which basically refers to the intelligence of machines in understanding complex situations, reasoning and solving problems in order to analyze like the natural intelligence of humans, although much more accurate and faster than us. data and problem solving. Artificial intelligence is used in various industries such as automobile manufacturing (for example, Tesla’s electric and smart cars), mining, medical field, etc. In this article, we are going to deal specifically with artificial intelligence and medicine. Therefore, reading this article is recommended for those interested in computer and medicine.
History of artificial intelligence and medicine
Historical documents from ancient times show that there have been stories about intelligent beings who had the ability to think. Centuries later, intelligent machines were discussed in books such as Frankenstein, which were actually among the first proponents of ethics in the field of artificial intelligence. If we want to go into the history of artificial intelligence and medicine in detail, we should say that the development of neuroscience and the presentation of information theory and cybernetics made researchers think of developing an electronic brain. The first article is from 1943 by McCulla and Pittis, who in their article defined artificial neurons based on Turing’s “completeness” theory.
By the way, it should be noted that research on artificial intelligence began in a laboratory at Dartmouth College in 1956, and the term artificial intelligence was born by John McCarthy.
Despite all the efforts, significant success in the development of artificial intelligence was not achieved until the mid-1970s, but in the early 1980s, computers called expert systems that had the ability to simulate the knowledge and analytical skills of human experts were born. The introduction of technologies such as VLSI and MOS, which were introduced in the mid-1980s, led to the development of artificial neural networks, which made investors and researchers want to work more in the field of artificial intelligence. In fact, the 1990s and the beginning of the 21st century marked the beginning of the use of artificial intelligence in medical diagnosis.
Application of artificial intelligence in medicine
As you know, reaching the science of disease diagnosis requires years of study in the field of medicine, and in this case, the correct diagnosis of the disease, especially difficult and rare diseases, takes a lot of time, so it is possible that the golden age of diagnosis and treatment has passed. No measures to improve the patient will be effective.
This is where the importance of artificial intelligence in medicine is clearly felt, because with the introduction of artificial intelligence into the field of medicine, the stages of disease diagnosis will be faster and more accurate. Of course, it should be noted that artificial intelligence is not only effective in diagnosing diseases, but today it also plays an important role in the treatment of diseases, and artificial intelligence will definitely play a greater role in the treatment of many diseases in the future by surgical and non-surgical methods.
Advantages of using artificial intelligence in medicine
Accurate diagnosis and reduction of medical errors
Every year around the world, a number of patients die due to late diagnosis and even due to medical mistakes and errors. Therefore, the production of diagnostic tools using artificial intelligence can be effective in early diagnosis of diseases. Among these tools, we can mention radiology, CT scan and MRI devices based on artificial intelligence and bioresonance device, which is a new generation of technology based on artificial intelligence. For example, the Biophilia Lotus device, which is a type of bioresonance device, analyzes the data by receiving information with very high accuracy and provides the physician with a very accurate diagnosis of the patient’s condition.
Using tools based on artificial intelligence in surgery
In recent years, you have definitely come across robots that are working instead of humans. It should be noted that robots have been produced that can assist the surgeon in the operating room or even perform simple surgeries such as open heart surgery alone. Of course, currently robots have an auxiliary role, but with the speed of artificial intelligence development, there is a possibility that in the not too distant future, robots will be able to perform surgeries alone.
These robots are equipped with surgical instruments, cameras and mechanical arms. The surgeon controls the mechanical arms by a computer and the robot provides a 3D image of the surgical site with the help of its camera, which may be performed with the instructions sent by the surgeon or according to the robot’s own analysis. Surgery with robots has many benefits, one of which is causing less injury to the patient’s body and finally feeling less pain and reducing the patient’s recovery time.
Personalization of treatment with the help of artificial intelligence
Medicines are produced with a specific formula for everyone, if each person’s body may react differently to each medicine. Therefore, it is better to personalize the treatment. If this is without the intervention of artificial intelligence, it is definitely expensive and very time-consuming. While with the technologies based on artificial intelligence, it is possible to understand the unique characteristics of the patient and choose and apply the unique treatment method with the greatest effect. In fact, with the help of algorithms, it is possible to predict the patient’s possible reaction to a certain type of treatment and medicine, which is effective in speeding up recovery time and saving money.
Drug discovery with the help of artificial intelligence
Another advantage of using artificial intelligence in the medical field is to help discover drugs quickly. In fact, drug production and clinical trials required to issue a license to provide it are very costly and time-consuming. The first step in drug production is to find out the biological root of the disease. In this step, the desired targets (which are usually proteins) should be identified. This is a long process that can be easily analyzed with machine learning algorithms that have already been identified. These algorithms can even identify the desired proteins automatically. In fact, with the help of artificial intelligence, all stages of production up to clinical testing of drugs can be done automatically and faster.
Artificial intelligence in health
In this article, which has been written specifically in relation to artificial intelligence and the field of health, we will first provide a definition of artificial intelligence and its history, and then we will discuss the application of artificial intelligence in the field of health. Therefore, reading this article is recommended to all people interested in the field of IT (especially artificial intelligence) and the field of medicine.
Definition and history of artificial intelligence in the field of health
Artificial intelligence is a science related to computers, which basically refers to the intelligentization of machines in order to understand complex situations, analyze, reason and solve related problems. In fact, the purpose of making machines and various tools intelligent is to help humans in order to save time and increase accuracy in doing various tasks. Artificial intelligence is used in various industries, such as mining, automobile manufacturing, and most services and even treatment. The existing historical documents show that mankind has long thought about intelligent beings that had the ability to think.
As its effects can be seen in books and ancient works. For example, in the book Frankenstein, intelligent machines are discussed, and in it even ethics in the field of artificial intelligence are discussed. Because certainly with the progress of science and human access to intelligent machines and robots, there is a possibility of unethical exploitation of them. In relation to the history of artificial intelligence and the field of medicine, we should mention that initially, the development of neuroscience and the presentation of centric theory made researchers think about the development of an electronic brain.
It should be noted that the first article belonging to McCulla and Pittis was published in 1943, in which the definition of artificial neurons was discussed based on the theory of “completeness”. Research in the field of artificial intelligence was first conducted in 1956 in a laboratory at Dartmouth College. Finally, in the early 1980s, computers were born under the name of expert systems that had the ability to simulate the knowledge and analytical skills of human experts. The 1990s and the beginning of the 21st century was the beginning of the emergence and use of artificial intelligence, especially in the field of medicine and health.
Application of artificial intelligence in the field of health
Artificial intelligence can be used in various areas, including diagnosis, prevention, treatment, and even in the service area related to health.
Application of artificial intelligence in diagnosis of diseases
Artificial intelligence has also been used in devices such as MRI and CT scan that are able to receive information, analyze data and finally create an output that can be interpreted by doctors. Devices such as Lotus and Biophilia Lotus, which are considered to be the most advanced bioresonance devices, also use artificial intelligence to analyze the frequencies of the cells of the organ or tissue in question and thus help the doctor in accurately diagnosing the patient’s problem.
Application of artificial intelligence in disease prevention
One of the ways to prevent diseases or severe symptoms of the disease is early diagnosis of the disease in its early stages. Modern medical devices in which artificial intelligence is used can accurately identify the disease in the early stages and even when the disease has not shown any clinical symptoms. As mentioned, one of these technologies is the Biophilia Lotus and Lotus device, which has taken an effective step in diagnosing and preventing diseases with the science of bioresonance and by using the analysis of cell vibrations.
Application of artificial intelligence in drug production
One of the services of artificial intelligence to humanity is in the field of drug design and production. Drug production and clinical trials necessary to obtain a license to present it to the consumer market are very costly and time-consuming, and this process can be minimized with machine learning algorithms. These algorithms can even identify the desired proteins automatically. In fact, with the help of artificial intelligence, all stages of production up to clinical testing of drugs can be done automatically and faster.
Patient remote control
Another application of artificial intelligence in the field of health is related to the production of software that enables remote control of patient symptoms for doctors and other treatment agents. make
Application of artificial intelligence in the treatment of diseases
One of the examples of the application of artificial intelligence in the treatment of diseases is the electronic tools and robots that surgeons use in the operating room to operate on patients. These robots are equipped with surgical instruments, mechanical arms and special cameras. Instead of making deep and wide incisions by making one or more holes in the patient’s body, the surgeon sends mechanical arms into the patient’s body and controls the mechanical arms by a computer.
Cameras connected to the robot and sent into the body by mechanical arms provide clear and precise images to the surgeon through a screen. In this way, the surgeon is informed about the patient’s condition with more mastery and precision, and with the orders sent by the surgeon or according to the robot’s own analysis, surgery is performed with minimal bleeding compared to surgeries without the use of this tool. One of the clear examples in the treatment of diseases with the help of artificial intelligence is the Lotus and Biophilialotus devices, which were briefly explained in the previous sections.
Bioresonance therapy uses electromagnetic waves to treat diseases. It is necessary to explain that all the cells of the human body have their own frequencies, which may be out of balance in case of illness. Therefore, doctors treat diseases by sending electromagnetic waves in a very low frequency range that are completely safe for humans. Since artificial intelligence has been used in the production of these devices, the frequencies sent to each organ, tissue or cell are completely specific.
Diseases such as hernia, goiter, hyperthyroidism and hypothyroidism, muscle cramps, toothache, stomach diseases, back pains, problems and diseases related to skin, hair and nails, kidney cysts, ovarian cysts, liver diseases , varicocele, migraine and hundreds of other diseases can be diagnosed and treated in this way.
Artificial intelligence in Iranian medicine
Artificial intelligence in Iranian medicine is the exciting topic of this article, which at the beginning defines artificial intelligence and its history, and after dealing with the application of artificial intelligence in medicine, we will discuss the main topic of the article, namely “artificial intelligence in Iranian medicine”.
Therefore, we suggest you stay with us until the end of the article.
Definition of artificial intelligence and its history
Artificial intelligence is composed of the combination of the two words intelligence, which means the ability of the mind to understand meanings, the power of learning and acquiring science and knowledge, as well as the transformation of science into action, and the word artificial, which means man-made (the opposite of natural). Artificial intelligence, which is a science related to computer science, is used in various industries such as automobile manufacturing, agriculture, aviation, education, medicine, etc. Regarding the history of artificial intelligence, it should be mentioned that the historical documents obtained show that humans have been thinking about intelligent beings with the ability to think for a long time.
So that even in old books and ancient works, this topic is abundantly observed. It is interesting to know that the book Frankenstein even mentions ethics in the field of artificial intelligence. Regarding the history of artificial intelligence, especially medical artificial intelligence, it is necessary to explain that the development of neuroscience and the presentation of information theory and cybernetics made researchers think of producing an electronic brain. The first article was published in 1943 by McCulla and Pittis in which they defined artificial neurons.
Artificial intelligence research began in 1956 at Dartmouth College. The term artificial intelligence was also coined by John McCarthy. With the beginning of research from 1956 until the mid-1970s, no significant success was achieved. Until the 1980s, advances were made and computers called expert systems were introduced, as well as technologies such as VLSI and MOS. Finally, in the 1990s and the beginning of the 21st century, the use of artificial intelligence in medical diagnostics was used dramatically.
Application of artificial intelligence
As mentioned at the beginning of the article, artificial intelligence has many applications in different fields. Among the fields of application of artificial intelligence are:
music
Automotive industry
Aviation industry
Education
Online and telephone services to customers
agriculture
Marketing
Transportation
Computer games
toys
Media and e-commerce
Road industry and urban development
driving
job search
Medical and health field
and…
According to the mentioned cases, it is one of the applications of artificial intelligence in the field of medicine and health. Artificial intelligence in the field of medicine has provided valuable services in the diagnosis and treatment of diseases. As you know, in some diseases, especially rare diseases, the correct and timely diagnosis of the disease is considered a very vital thing, which requires years of study in the field of medicine to achieve this science, and since the process of diagnosing rare diseases and Incurables take time, so the golden time of diagnosis and treatment of the disease may have passed and the necessary measures to cure the disease may not be effective.
Therefore, the use of artificial intelligence in technologies related to disease diagnosis becomes important for accurate and fast disease diagnosis. Another application of artificial intelligence in the medical field is related to the treatment sector. In modern technologies in the field of medical engineering to help treat diseases, including surgeries, traces of artificial intelligence can be seen again. Basically, without artificial intelligence, the production of medical devices and robots to help treat diseases is pointless.
Artificial intelligence in Iranian medicine
Artificial intelligence is used in the field of medicine for diagnosis, treatment, personalization of treatment, drug production and remote control of the patient.
Disease diagnosis with the help of artificial intelligence
The use of devices such as MRI, CT scan, and bioresonance devices that use artificial intelligence in their construction make a very accurate diagnosis of the patient’s condition and provide it to the doctor. In Iran, these devices are used to diagnose various diseases.
Personalization of treatment with the help of artificial intelligence
As you know, all medicines are produced with a specific formula for everyone and can only be prescribed in different doses for different patients. If each person’s body reacts differently to drugs. Artificial intelligence also helps us in personalizing treatment. For example, Lotus and Biophilialotus devices, which are the most advanced types of bioresonance devices and are also used in Iran, by producing non-chemical drugs based on the vibrations of each person’s body cells, are considered an effective step in personalizing treatment.
Drug production with the help of artificial intelligence
With the help of artificial intelligence, it is possible to significantly reduce the long process of drug production from the design stage to clinical testing.
Patient remote control using artificial intelligence
One of the important applications of artificial intelligence in the field of health is related to controlling the patient and the symptoms of the disease, which is done by the software that has used artificial intelligence in their production. Some of these softwares are also used in Iran and the doctor can monitor the patient’s symptoms remotely using special softwares.
Treatment of disease with the help of artificial intelligence
In recent years, the use of tools such as robots that help surgeons in the operating room has increased. These tools are equipped with a very high resolution camera, mechanical arms, and surgical tools. By sending the mechanical arm into the body, the surgeon sees the images sent by the camera connected to the mechanical arms on a monitor and sends the necessary instructions to the mechanical arm to perform the surgery. issues This technology is also used in Iran.
In addition, it should be mentioned that at the time of writing this article, the first surgical robot made in Iran has been installed and launched in Imam Khomeini Hospital, Shariati Hospital and Sinai Hospital. Robotic surgery with very high precision reduces human error and hand tremors, and in surgery with the help of surgeon robots, the distance between the surgeon and the patient is not important, and the surgeon can perform surgery from a distance. It is very important to use these robots when it is not possible to move the patient.
