The use of Artificial Intelligence (AI) in healthcare and medical fields

The use of artificial intelligence in the medical field 

    With the great development of data processing, machine learning, and artificial intelligence, there is a great use of AI in the medical field, to make use of the large database on which AI robots are designed. 

The use of Artificial Intelligence (AI) in healthcare and medical fields

Thus, AI robots have been able to process and analyze large amounts of data at high speed and give professional outputs, which helps implement complex medical processes, precision surgeries, and in the field of diagnosis and drug making.

 

Machine learning and healthcare

The use of Artificial Intelligence (AI) in healthcare is increasing by the day. The World Health Organization has talked about the future use of AI in medicine, diagnostics, drug development, health facility management, and others. The use of AI and its various applications will open up new prospects in the medical field in all its specialties.

 

machine learning in medical imaging is trained to deal with big data that is fed into them, to deal with situations, to analyze data, to give orders, and to make very logical decisions, all of which are done in a very short time and beyond the capabilities of the average human at stages, so the use of artificial intelligence machines in medicine may contribute to saving lives and improving the medical field in general.

 

AI Applications in Medicine and Health

AI applications in medicine as well as AI healthcare companies can be utilized. These applications include:

Artificial intelligence in the pharmaceutical industry

AI technologies and clinical ai are used in pharmaceutical manufacturing and development Drug development science is one of the most complex in many phases, starting with the study of the disease to be eliminated, and the cause of this disease.

After that the search for an Active Ingredient that will bind to the protein receptors in cells and restore stability to the cell functions, thereby eliminating the causes and effects of the disease, and then determining the amount of effective substances, additives, doses, side effects, etc.

 

Artificial intelligence can study the biological origin of the disease and provide an analysis of the impact of active substances and therapeutic compounds on the infected part of the human body, thereby filtering the appropriate drug and dosage. 

Technical machines with an AI database are also employed in the pharmaceutical industry and there are fully automatic factories using AI that work to manufacture various types of medicines without human intervention or very limited intervention.

 

Using AI in diagnostic medicine and increasing the efficiency of medical imaging

The use of traditional methods of diagnosing diseases has become unhelpful, especially with the development of diseases the emergence of new epidemics, and rapidly spreading viruses, as traditional diagnosis takes a lot of time and effort and may not give 100% correct results. But now that AI technologies are being used in medical diagnostics, this is becoming easier more accurate, and less expensive.

 

Medical imaging and machine learning for medical imaging have become more accurate than ever before thanks to artificial intelligence since medical imaging can be used besides machine learning to analyze medical images as well as determine the diagnosis very accurately and with almost no error.

 

Best example of the use of AI in diagnostics:

• CT radiography using artificial intelligence to detect lung cancer.
• Magnetic resonance imaging to detect heart disease.

There are too many applications for AI in diagnostic medicine, but these are just simple examples of it.

 

Use of artificial intelligence in genetics

One of the most promising areas in the field of medical AI is the field of gene editing by AI techniques or what is known as Modifications Genetics, where AI can perform genetically modified processes.

 

One of the benefits of AI is that it accelerates clinical trials of new drugs and improves the control of the drug's impact on patients contributing to accelerating the process of making a new drug and releasing it to the market as this process in its traditional form takes up to years.

 

Use of artificial intelligence in making therapeutic plans

It can benefit from AI where it can develop a detailed treatment plan for patients based on some input to the patient's condition or based on prior diagnosis of the condition. The treatment plan is developed according to the characteristics that help to raise the patient's self-response to the treatment.

 

Use of artificial intelligence in the field of hospital management 

AI can be used to regulate the hospital's work in general, regulate the movement of patients and doctors, control the system of surveillance, alert, emergency, evacuation, and auxiliary facilities, as well as use AI in the process of entering, sorting and organizing data for patients, treatments, medicines, devices, and other technical, informational and logistical matters.

 

Using artificial intelligence in remote communication between patients and doctors

AI technologies can also be used to manage, improve, and facilitate online communication between patients and doctors, provide telemedicine consultations to patients, and design medical applications that help with easy access to medical consultations and physicians.

 

Disadvantages of using AI in medicine and healthcare

AI applications also have great advantages in the field of medicine. They are credited with revolutionizing the field of medicine and health care by employing AI applications and introducing all the details of medical science. However, this also has significant negative aspects and fears of what the use of AI in medicine may cause an over-reliance on. These negatives include:

• There are several ethical and legal concerns associated with the use of artificial intelligence in the field of medicine.
• AI technology is somewhat new, and there is a potential for diagnostic errors or data errors that can be dangerous for patients.
• Difficulty in obtaining the right platform for AI technology to implement.
• Potential to generate misinformation and data, which can lead to serious consequences when fully relying on artificial intelligence.
• AI needs human intervention in some cases.
• The seriousness of AI acquiring many jobs in the future greatly increases unemployment rates.
• Rapid adoption of AI systems without real testing may cause major problems in the future.
• The cost of using artificial intelligence techniques in medicine is somewhat high.
• Data used and processed by artificial intelligence are vulnerable to theft and hacking.

 

However, the negatives and risks of using AI in medicine can simply be overcome by developing effective strategies, developing a thoughtful testing plan, progressively applying AI techniques in medicine, and using ai in healthcare and placing strict oversight and full external control at the outset. This will have a significant impact on the development of medicine in the near future. 

 

 

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