Research in the field of health and treatment with the help of intelligence indicates that this technology can make significant changes in the field of research, diagnosis and treatment, so its presence in this field has become inevitable. In addition to analytical, diagnostic or therapeutic aspects, medicine also has human aspects; Therefore, artificial intelligence is not an alternative for physicians, but by expanding the horizons of physicians, it brings confidence in diagnosis and treatment.
Machine learning, as a branch of artificial intelligence in the field of predicting and recognizing patterns based on big data, has become a powerful tool in the field of bioinformatics. Today, artificial intelligence technology can support bioinformatics systems. Bioinformatics systems diagnose genetic diseases and predict the health and safety of new drugs. In this way, the efficiency of medical services can be increased and patients can be calmed.
These days, we are witnessing a growing trend of using rehabilitation robots in various medical centers. Factors such as the increase in the elderly population, the shortage of assistants and the need to increase the efficiency of paramedics and help rehabilitate disabled people have increased the need for these robots day by day. Nowadays, new technologies such as artificial intelligence have created many effective solutions to improve the quality of life of the elderly and the disabled.
Artificial intelligence technology can also affect the delivery of humanitarian aid; In other words, artificial intelligence can make the process of delivering humanitarian aid safer and more efficient. AI can also be more efficient and effective in managing personnel (rescuers), providing relief, communicating, and providing medical care, and saving billions of dollars annually on humanitarian spending.
Diagnosis and treatment is one of the important applications of artificial intelligence in the field of health. Although there is error in all disciplines and professions, it is a serious matter in medicine; Because it may lead to injury to the patient and in some cases even death. Therefore, improving the diagnosis process by artificial intelligence can greatly reduce medical errors and increase the quality of physicians' diagnoses.
Cancer cells cause physical and chemical changes in the body, and these changes a evident in medical imaging. Artificial intelligence can provide interpretations of these images with greater accuracy and speed, and many details that doctors are unable to detect. , Recognize. Today, AI experts are developing an AI-based platform that researches cancer ten times faster than a regular computer.
The applications of artificial intelligence in radiology using deep learning have brought about dramatic changes in this field. In this technology, deep learning algorithms simulate the functioning of the human nervous system and use it as a communication network. In the future, with the help of artificial intelligence, there is no need for radiologists to spend a long time, and the task of analyzing and processing photos taken by the patient will be the responsibility of artificial intelligence.
Artificial intelligence has the ability to improve the level of health of people in a community by producing and discovering different drugs to prevent and treat different types of diseases. Among the main advantages of using artificial intelligence in the manufacture of drugs is a very high speed of action and reduction of costs; Using artificial intelligence, the process of producing drugs that took years to achieve results can be done in a few months or a few days.
This service can be used to improve smart medical assistants or medical staff Q&A system.
By categorizing the types of diseases or patients in intelligent systems and assigning specific services to each category to them, patients' needs can be met more purposefully and quickly.
In medical claims related to medical cases, this service can easily detect and prevent fraud and false claims.
This service is used in smart medical chats and assistants, based on data and statements of patients in the field of diagnosis and prescribing medication as physicians' assistants in hospitals and clinics