Medical artificial intelligence around the world
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Since the arrival of the coronavirus, the use of digital technology in the medical field has evolved exponentially. This use is not new in France, it is being experimented with a lot in the Grand Est, which is often neglected by health professionals in favor of other regions. This is how medical deserts are created. Once you have entered this vicious circle, it is very complicated to get out of it. Indeed, the workload is extreme for doctors in remote areas. Thus, digital technology has made it possible during the health crisis to continue health pathways. These could be carried out by teleconsultation while protecting the caregiver, family and friends. This experience makes it possible to become aware of the challenges of medical artificial intelligence. It is exported and used throughout the world. Solutions have been put in place with the use of medical artificial intelligence to overcome the problems specific to different countries.
In the United States, medical artificial intelligence to offer rights to the poorest.
In the USA, the health system only partially meets needs. That’s why engineers are developing artificial intelligence solutions that could create a new paradigm for healthcare in the United States. A coalition, the AI3C, has been set up to contribute to the improvement of the health system. Institutions in education, health and digital technology have come together with the aim of improving the conditions of the population. The objectives are to bring the medical system to state-of-the-art technology while training the health data scientists of tomorrow. The idea is to guarantee greater medical justice. With this union, the objective is to get back in shape a people worn out by the health system. For its mass of work among health specialists and the lack of equity among patients.
Small steps towards equality.
As we know, health-related practices in the United States are quite paradoxical. Indeed, the world’s largest power does not benefit from universal social protection. Thus, many Americans are too rich to get aid but too poor to afford private insurance. A certain section of the population must therefore give up its health. The coalition is still in its very early stages, it is Microsoft, a member of the AI3C, which announced the news in a press release. Thus, by ensuring significant progress in the field of medical artificial intelligence, the objective is to compensate for the obvious lack of resources put in place for the health of Americans.
In Africa, people living in high-risk areas are treated with the help of artificial intelligence.
Africa is working in collaboration with many industries as well as the United Nations to establish smart tele-care methods. The objective is to change the medical landscape. Mali is already carrying out a conclusive project related to e-health. Mountaga Keïta and Cheick Oumar Bagayoko have worked to set up various systems assisted by artificial intelligence for health. Thus, there are telemedicine terminals even in risk areas. These terminals are composed of sensors, thermal cameras, blood pressure monitors, allowing people to be treated. The idea here is to fill the lack of doctors and health actors. But also to respect the right of people to access care regardless of their area of residence. According to a WHO report, the African territory has 2 doctors per 10,000 inhabitants. These figures are 16 times lower than those collected in Europe.
A significant investment has been made to guarantee the use of teleconsultation, particularly in Bouaké, Côte d’Ivoire. There, the hospital’s seven cardiologists are responsible for carrying out teleconsultations assisted by artificial intelligence.
In China, rural areas are being cared for by Artificial Intelligence.
China’s vast territory is home to medical deserts. The country, which trains a large number of doctors, is unable to keep them in the public domain. Very low salaries and medical deserts are shunned by health professionals. Thus, many organizations have invested in e-health sites. People living in medical deserts can thus access care without having to travel. Patients are analysed and receive treatments suggested by artificial intelligence. Their databases are capable of analyzing several thousand diseases and symptoms. If this has been able to evolve so quickly, it is partly due to the lack of law in the issue of data protection. Thus, the problem is raised in the country, where one wonders at what price these people access care.
In Europe, it is data protection that precedes progress.
Thus, we can observe that it is necessary to ensure ethical practice to certify real safety. Medical artificial intelligence across the globe is in various stages of development. Seeing large companies bet on it also means being sure of its operation.
