Artificial intelligence is defined as a new and leading technology related to computational understanding of what is called intelligent behavior, and by modeling similar behaviors of humans, it tries to simplify the process of doing things and improve the quality and level of well-being of human life. One of the most important and effective applications of artificial intelligence on human life is in the field of healthcare. Artificial intelligence has the capacity to help us better prevent, diagnose, identify and treat diseases. So far, many researches have been conducted in this field, all of which indicate that this technology can play an effective role in the medical field.
Artificial intelligence in the healthcare industry
In the past few years, artificial intelligence has achieved great achievements and successes in the healthcare industry and has been able to help doctors a lot by inventing different medical methods, recognizing patterns and even identifying new drugs. In the following, we will examine some applications of artificial intelligence in the healthcare industry.
Diagnosis of eye diseases
DeepMind, one of Google's subsidiary companies, has recently succeeded in inventing an intelligent system that is able to diagnose more than 50 eye problems just by examining the 3D scan of the retina. DeepMind has conducted this research in collaboration with Moorfields Eye Hospital in London and plans to train its intelligent algorithm in such a way that it can identify the symptoms that can lead to the occurrence of dangerous eye diseases and then provide solutions for choosing the most suitable type of treatment. Provide to patients. Mustafa Suleyman, the head of DeepMind's artificial intelligence department, says: "Using this smart algorithm, doctors will be able to diagnose people's vision problems in a shorter time and find a solution to treat patients." An important principle to keep in mind is that we have designed explainable AI so that doctors can trust the recommendations it makes. In this system, artificial intelligence identifies pixels on the eye scan that correspond to symptoms of the disease."
Assisting radiologists
In a few days, radiologists will be able to diagnose cerebral aneurysm more accurately thanks to artificial intelligence. Stanford University researchers have succeeded in designing an algorithm that is trained to detect brain aneurysms. It is necessary to explain that brain aneurysm leads to inflammation and swelling of blood vessels in the brain and causes an increase in intravascular pressure that leads to stroke or brain death. Nowadays, aneurysms have been identified in various forms, the most common of which is the protrusion of a bubble in the wall of the cerebral arteries. The tool designed by this group of researchers is able to scan those parts of the brain where there is a high probability of brain aneurysm. Allison Park, head of this research group, says: "Currently, there are many concerns about the use of artificial intelligence in the medical field. The above research shows how useful the use of artificial intelligence in this field is in the early diagnosis of diseases. The new tool of Stanford University researchers, called HeadXNet, is able to help doctors correctly identify brain aneurysms. Also, it has the ability to identify six types of brain aneurysms. While HeadXnet has appeared successful in these tests, researchers emphasize that more studies are needed to evaluate the use of artificial intelligence in the real world.
Prediction of brain cancer
York University researchers have succeeded in inventing an intelligent algorithm that is able to predict the effect of treatment methods in patients with brain metastases. It is necessary to explain that brain metastases are a type of cancerous tumor and occur when primary cancers in the lungs, colon or other body organs reach the brain through the bloodstream or lymphatic system. Researchers hope that new research and technology can help to develop more appropriate treatment plans and achieve better outcomes for cancer patients. The above algorithm performs a complex and comprehensive analysis on MRI images with the aim of finding patterns that are not usually recorded by the human eye. In the new method, artificial intelligence detects radiotherapy defects in brain metastasis to help oncologists and patients make more correct decisions and perform the treatment process in a more favorable way. The researches that were conducted until now using standard methods such as MRI imaging, evaluating the size, location and number of brain metastases, as well as the type of cancer and the patient's condition, allowed oncologists to accurately predict 65% of treatment failure. Now, researchers have succeeded in developing a model that increases this rate to 83 percent. Research shows that not all tumors respond to radiation, and in 30% of cases, even after treatment, the tumor continues to grow, and this issue is not discovered until months after treatment. It is very important to predict the treatment response before starting the treatment.
Diagnosis of infectious diseases, one week before the onset of symptoms
As part of a research project, Philips has succeeded in producing a wearable device that can identify common respiratory diseases based on their symptoms, six days before they start. This project is inspired by the smart algorithm that was able to successfully identify people with this disease during the Corona epidemic. Jeff Schneider, the director of the above project, says: "This wearable technology is able to detect respiratory diseases.
It is in different jobs such as hospitals and people working in the army. This project, called RATE, uses commercial wearable devices for non-invasive monitoring, without the need for injections, to check people's health. RATE, for which a ten million dollar budget has been allocated, is classified by the US Food and Drug Administration in the category of public health equipment.
Is artificial intelligence effective in reducing medical costs?
Yes, artificial intelligence can be effective in reducing medical costs. In fact, the use of artificial intelligence in the healthcare industry can lead to improved performance and reduced treatment costs. One of the ways that artificial intelligence can be effective in reducing treatment costs is the use of algorithms and intelligent systems to predict and prevent diseases. By early diagnosis of diseases and prediction of complications, treatment costs can be significantly reduced. Also, the use of artificial intelligence in diagnosing diseases and diagnosing medical images reduces costs and shortens the diagnosis time. Another great advantage of automatic diagnosis of medical images is the increase in accuracy and reduction of side costs caused by errors in the diagnosis and treatment of patients. Therefore, it can be said that artificial intelligence can help improve efficiency and reduce treatment costs. By using intelligent algorithms and data analysis, it is possible to achieve a more accurate diagnosis of diseases, improve the diagnosis of medical images, predict and improve the performance of the treatment staff, improve the accuracy of treatment and provide better treatment recommendations.
Collection and analysis of medical data with artificial intelligence
Collecting and analyzing medical data with artificial intelligence can improve and optimize medical services. For example, genomic data such as DNA and RNA of cells can be used as important indicators in analyzing diseases and predicting patients' response to treatment. In the following, we mention some of the applications of artificial intelligence in the collection and analysis of medical data:
Prediction of diseases: by using medical data and applying artificial intelligence algorithms, it is possible to predict various diseases and also determine risk factors related to diseases. This will speed up the process of diagnosing the disease and starting the treatment.
Accurate disease diagnosis: AI algorithms can help diagnose diseases more accurately by analyzing medical data. For example, by examining the characteristics of patients and the results of tests, it is possible to make a more accurate diagnosis of cardiovascular diseases.
Prediction of complications: Artificial intelligence can help predict the complications of diseases by analyzing medical data and previous records of people, and by determining the appropriate methods, minimize the complications caused by the use of drugs.
Improving treatment methods: By analyzing medical data related to past treatments and evaluating their results, artificial intelligence can help improve treatment methods and shorten treatment time.
Prediction of treatment results: By analyzing the medical data of patients and the results of past treatments, artificial intelligence is able to predict the results of treatment. Similar to what the York University researchers are doing and we mentioned at the beginning of the article.
In general, the use of artificial intelligence in the field of medical data collection and analysis can help improve medical services and reduce related costs. However, it should be noted that artificial intelligence is only a tool and should not be used instead of diagnosis and treatment by doctors, but doctors and specialists should make the final decision based on the results obtained from artificial intelligence. Also, it should be noted that patient privacy is an important issue that must be taken into account when collecting and using medical data with artificial intelligence.
Medical signal and image processing
Processing of medical signals and images is very important for the diagnosis and treatment of many diseases. This is exactly where AI can shine. With the use of artificial intelligence, it is possible to analyze this data more accurately and faster than before. In the following, we mention some applications of artificial intelligence in the processing of medical signals and images:
Disease diagnosis: By using artificial intelligence, it is possible to achieve a more accurate diagnosis of various diseases such as cancer, heart diseases, infectious diseases, etc. This is possible by analyzing medical images such as MRI, CT, PET scans and other medical images.
Improvement of imaging methods: by using artificial intelligence, it is possible to improve imaging methods such as MRI and CT Scan. This is possible by optimizing imaging parameters and improving imaging algorithms.
Prediction of treatment results: using artificial intelligence, it is possible to predict the results of treatment for patients. This work is possible by analyzing the images before and after the treatment and other data related to the patients.
Automatic diagnosis: By using artificial intelligence, it is possible to achieve automatic diagnosis of diseases and accurate mapping of different body tissues. This is possible by using convolutional neural networks and recurrent neural networks.
In general, the use of artificial intelligence in the processing of medical signals and images can help to improve the diagnosis and treatment of diseases, improve imaging methods and improve treatment results. However, once again we note that artificial intelligence is only a tool and should not be used in place of doctors. Rather, this technology should be used as a guide. Also, to ensure the accuracy of the results, reliable algorithms should be used and the results obtained.
Be approved by doctors and medical professionals.
telemedicine, robotics and person-centered medicine
Remote medicine (telemedicine), robotics, and person-centered medicine are all three topics related to health.
Dora medicine means the use of advanced devices and technologies in the field of health and treatment. Smart technologies have the capacity to automatically use medical devices such as CT scan, MRI, radiotherapy, etc. to treat patients. The goal of Dora Medicine is to provide more accurate, faster and more appropriate medical services to patients.
Robotics in medicine means the use of robots and automatic devices in medicine. These robots and devices can help doctors in surgery, treatment and diagnosis as reliable assistants. Robots can perform precise and sensitive operations like surgery more accurately than surgeons.
Person-centered medicine means focusing on the patient, his needs and better understanding of the disease and treatment. This approach focuses on the principle that patients should be involved in decisions related to their health. For this reason, doctors should talk to patients before treatment and explain to them how the treatment is done and what changes are being made.
By combining dora medicine, robotics and person-centered medicine, the most complete and comprehensive medical services can be provided to people. For example, the use of robots in complex surgeries can make the process of doing things more accurate and reduce medical errors significantly. Also, the use of accurate devices such as MRI and CT Scan can lead to more accurate diagnosis of diseases and better treatment. Finally, focusing on the patient with the center of person-centered medicine allows to better understand the patient's needs and use more effective treatment methods in this field, which leads to patient satisfaction and improvement of medical services.
