What are the uses of artificial intelligence in the healthcare sector?

What are the uses of artificial intelligence in the healthcare sector?

What are the uses of artificial intelligence in the healthcare sector?
What are the uses of artificial intelligence in the healthcare sector?

The health sector has benefited greatly from the uses of artificial intelligence in several areas. Investments have accelerated and major international companies have competed to introduce more applications that can be used by health care providers as well as patients; The success of AI technologies in the healthcare sector is due to the initiatives and partnerships that exist between major technology companies and the health sector. Today, it is no longer just about storing data and keeping files, but rather analyzing that data, reaching accurate conclusions and diagnosing the situation in a record period.

The use of artificial intelligence has increased in the health care sector and has become relied upon in diagnosis, drug production and improving workflow within hospital corridors and between medical departments and others. Artificial intelligence gives a computer the ability to learn by entering huge data and working on the development of an automated system, that is, machines capable of learning and logical processing for research to achieve integration between the work of doctors, and what is meant here is human intelligence with artificial intelligence to achieve further developments in the health sector.

The following are the most prominent uses of artificial intelligence in the healthcare sector:

*** Diagnoses of illnesses

Diagnosing diseases and the possibility of examining large numbers of patients in a short time is the most prominent use of artificial intelligence, as this field has made remarkable progress in the level of early diagnosis and the discovery of diseases in their early stages and perhaps before their occurrence or their spread and exacerbation through the analysis of radiographs, as the possibility of predicting diseases and their spread from During the use of artificial intelligence analyzes depends on data analysis and prediction of diseases, especially cancer, and certainly without that eliminating the role of the doctor.

In light of this unprecedented technical progress in the health sector at the level of the uses of artificial intelligence, this will contribute to providing a scientific approach based on medical evidence.

Today, computers use human-like intelligence to perform precise tasks in detecting many life-threatening diseases such as infectious diseases and cancer; Medical images are analyzed to diagnose diseases through the use of deep learning algorithms, an advanced form of machine learning technology where groups of medical images accompanied by information are studied and analyzed and learned how to classify them and discover what distinguishes them so that you can later understand similar images and provide the appropriate diagnosis of the diseased condition. Many applications and wearable devices also use artificial intelligence techniques that monitor disturbances in the body's vital signs, and can predict the possibility of a health crisis before it occurs.

 *** Precision Medicine

What is meant here is personalized medicine, meaning that the appropriate medication or treatment protocol is determined for each diseased condition based on the patient's genetic makeup, according to his lifestyle, and the difference in his response to treatment.

Existing studies and experiments in this regard demonstrate the integration of the physician’s work with artificial intelligence algorithms, as deep learning techniques can analyze genetic data from large numbers of individuals, and identify personal variance in drug response, which contributes to supporting clinical decisions and thus making recommendations about the most appropriate drugs for each patient. person. Successful experiences in this field led to more uses, so huge health data were collected for analysis using artificial intelligence, with the aim of developing the field of precision medicine.

*** Robot

The integration between human intelligence and artificial intelligence is evident through the robot used in operating rooms, which can reach what the surgeon’s hand cannot reach; This surgeon, who is able to move the robot's arms and reach the exact location, helps doctors plan the surgical intervention in detail, which reflects this integration in the operating rooms.

Today, companies are competing with each other to come up with more advanced robots and launch innovative medical services that help the medical team perform some routine tasks and relieve them of their burden. It is now possible to integrate this advanced technology to help medical staff deliver health care that exceeds patients' expectations.

Technology in medicine and automated applications in hospitals are witnessing a great diversity. Today, there are surgical robots and robots that provide care at the side of the patient’s bed. There are also robots to expel infection from rooms and sterilize them, and others to take laboratory samples, transfer and analyze them, and prepare drug doses, and robots that are remote presence monitoring devices. 

*** Management of work inside the hospital

Managing files and organizing work within medical institutions has always been a fundamental dilemma for the health sector in general, in light of the overcrowding in many hospitals that leads to increasing pressure on doctors and nurses as well as those responsible for administrative work, which increases the possibility of error.

Hence, hospitals have benefited from artificial intelligence techniques to manage work and organize patient files after entering a set of huge data into computer systems, allowing access to information in a faster period of time. Electronic medical records have made the process of extracting data and studying treatments much easier. Patient files and handwritten paper prescriptions have become a thing of the past and electronic health care data has increased exponentially. Thus, analyzing data that includes information about patients can be done faster and more lives can be saved by running algorithms designed with artificial intelligence. This positivity would help healthcare professionals and emergency department workers to access and sort large amounts of information in a short period of time, thus contributing to the optimal reduction of critical time spent on a single patient.

So, health institutions and hospitals around the world depend on these systems for their infrastructure to automate and digitize work, which enhances productivity and increases health care accuracy, thus transforming into digital hospitals through an integrated system and an interconnected digital work mechanism through platforms that display patient data to the extent permissible. Legally, while maintaining patient privacy, which is a very important step so that the doctor can review the information about his patient before determining the treatment mechanism, which ensures that he receives accurate and high-quality health care in a faster time.

*** Scientific tests and experiments

Tests, scientific experiments, and clinical research based around the world have benefited greatly from artificial intelligence algorithms, as scientists and researchers have turned to the use of data collected by artificial intelligence techniques from electronic health records and wearable devices, which contributed to saving the huge money that was spent in this field. These technologies also allow medical reports to be searched for people who are eligible to participate in clinical trials.

The application of artificial intelligence in clinical trials helps scientists analyze scientific data and information, the ability to segment patients and predictive results, and enhance analysis and decision-making from data in order to enhance success rates for clinical trials.

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