Now AI doctor!

This is not a fantasy. The recent development of technology has made the use of this type of AI in the field of healthcare necessary and possible.

Experts in Europe are beginning to claim that the use of AI in medicine could help save millions of lives. Similarly, Americans have said that the use of AI will save billions of dollars in annual health care costs. From

smart stethoscopes to robotic surgeons, and from analyzing big data to consulting an AI doctor with a human face, it's now possible. All these doors in the medical field are opening due to the development in AI. The use of AI in treatment has been proven to make disease diagnosis more accurate.

AI has also been able to analyze the condition of similar patients and analyze what the final outcome might be. In addition, the use of AI in hospitals can help streamline operations and administration, improve surgical efficiency, and monitor patients. It is seen that it will help to speed up the discovery of new drugs and 'clinical trials'.

The use of AI in healthcare is seen to bring more benefits especially to patients in poor countries. Early use of AI has also proven that. AI can diagnose diseases by effectively analyzing data that can be obtained using common tools. An ordinary mobile phone can be turned into a device that measures heart rate, body temperature, respiration and blood oxygen levels.

Japan's Fujifilm has developed a battery-operated 'X-ray machine'. It has been used in Nigeria to detect tuberculosis, pneumonia, chronic obstructive pulmonary disease (COPD) and heart failure in conjunction with an AI algorithm developed by an Indian company called QuerdtAI.

Also, 'MinoHealth Labs' in Gana is training 'radiology models' by gathering X-ray film from across Africa. In addition, primary care doctors in London are testing an AI-powered 'stethoscope'. It is being used to find out whether heart disease can be diagnosed at an early stage or not. Similarly, a 'trial' is being conducted in Oxford to check the condition of the lungs using an AI-equipped 'spirometer'.

Dr. Nepali doctor who has specialized in "Diagnostic Radiology" and "Nuclear Medicine" from Gunma University in Japan. According to Suman Shrestha, the use of AI in healthcare has opened doors to new possibilities. According to him, although it is currently being tested in most of the developed countries, it shows a bright future. Even in Japan, the use of AI has not yet fully started. Tests are being conducted. Training is being done to use it more than in normal language,' he said, 'but, looking at the current development, it seems that its use will increase in the days to come.'

dr. Being a radiologist himself, Shrestha claims that AI will help a lot in the field of disease diagnosis. According to him, if the AI ​​'model' is able to provide good data and 'images', it can accurately diagnose diseases that are difficult to detect by the human eye.

"One of the major problems with AI models is what kind of data is fed into it or how it is trained," he said, "like a cat with the same color as a tiger, it can claim to be a tiger." However, if it is taught why it is a tiger or not, it can give accurate results. Although this may sound normal, it can also greatly reduce the patient's recovery time.'

However, the use of high technology in healthcare is not new. AI is already being used in some machines and devices. However, the process of incorporating AI in the health sector seems to be slow around the world. A major reason why any new technological development takes time to incorporate into healthcare is the risks it poses. Nowhere is new technology readily adopted without proven data and analysis for patient benefit.

There are already a large number of different types of data available in the health sector. However, they are not integrated. AI is able to integrate and analyze such data in a short amount of time. However, in order to protect patient privacy, the government refuses to release such data in some cases. On the other hand, patients themselves talk about individual treatment methods. Doctors may have their own opinion on how to treat any disease after it is diagnosed. AI can advise the patient which of the recommendations given by the doctor is most appropriate.

Liver transplant specialist of University Teaching Hospital Prof. Dr. According to Ramesh Singh Bhandari, the use of AI in healthcare is seen to be of great help in saving the lives of patients. "The first thing is that AI can provide information about the type of disease and the possible treatment method," he said.

According to him, the use of AI to perform complex surgeries in developed countries is increasing recently. We do CT scan, MRI, ultrasound to treat patients with liver problems, but it is difficult to tell from the outside what kind of problem is in the abdomen. AI can help in this," he said. "3D holograms can be made with the use of AI. So that it will be easy to plan how to do the surgery. Because of this, the surgery itself takes less time and the patient is also comfortable. Prof.Dr. According to Bhandari, the use of AI seems to be creating a comfortable environment for patients to receive 'close to perfect' treatment and for doctors to provide it, but he believes that it will be impossible to replace doctors with AI in the future.

dr. According to Suman Shrestha, the use of AI will help the patients to receive concrete treatment by timely diagnosis of non-communicable diseases that are currently taking the form of an epidemic in the world. The use of AI has already made a huge leap in cancer diagnosis in developed countries. "In some cases, even cancer that is not visible to our eyes has been detected by AI," he said. In addition, treatment of cancer in the early stage and later saves physical, mental and financial expenses. According to

experts, even if a patient is subjected to a test like MRI, CTscan or petscan, if the report is analyzed by AI, it will be found in other parts of the body. The problem is also able to be detected. “We pay attention to the CT MRI report, focusing on why the doctor ordered the test. However, if AI looks at the same report as a whole, it can diagnose some problems in other parts as well. That's true," said Dr. Shrestha said, "But, in the end, the main thing is how the algorithm of the AI ​​is developed and how it is trained." However, if we move forward by correcting such mistakes, it is sure that it will become easy and simple for the doctors to treat them. There is also a fear that the use of AI in the health sector in the world is slower than expected, that it will reduce the cost of treatment as well as the human resources needed in hospitals. Statistics have shown that by 2030, there will be a shortage of about 10 million health workers in the world. Which is 15 percent of the human resources currently being used. Similarly, 30 percent of healthcare spending in the US is spent on administrative work. That too will be cut by AI.

However, many organizations are reluctant to use the machine as it replaces human work and cuts costs. While healthcare organizations want to improve patient care with the help of AI, they don't seem ready to cut costs. In addition, there is a strong possibility that the salary and incentive allowances of health workers and doctors will be cut. No one will readily accept the use of technology that will reduce their income. In order to overcome this situation and move forward, it is necessary to make policies and rules at the government level. "AI is also a product of human brain," Prof.Dr. Bhandari said, "The use of this will definitely reduce the costs as well as the results of the treatment."