Treatment Artificial Intelligence –

Artificial intelligence is changing the world. And the medical field is no exception to this revolution, quite the opposite.

What is artificial intelligence?

Artificial Intelligence (AI) is a set of techniques, concepts and technologies used to allow machines to mimic and even transcend human intelligence. He wants to be like a mime of the functioning of the human brain, or like the logic of talking about decision making.

Today, AI is an integral part of people’s daily lives, in some cases essential to it. Big companies like Google, Microsoft, IBM or Facebook are focusing more on the question of artificial intelligence, proving that this is a real problem. This applies to almost all cases today, including drugs, or artificial neural networks formed by servers, to better understand specific diseases and even to provide solutions.

Contribution of AI to medicine

In medical terms, the benefits of AI are varied. Artificial intelligence, thanks to its accuracy, Significantly reduces the risk of drug defects. For example, it allows data analysis of all patients from symptoms to family history, including test results. Therapeutic artificial intelligence encourages collaborative conversations to help the patient make decisions.

In addition, AI makes it possibleImproving cancer diagnosis. A perfect example in this case is the Parisian PT Salpetria Hospital, which uses the iBiopsy artificial intelligence platform for the treatment of diseases such as liver cancer. Using medical imaging methods associated with big data analysis and in-depth learning, it is possible to identify and extract biomarkers of liver cancer progression. The purpose of this approach is to optimize the patient’s diagnosis as much as possible, so that an appropriate based management can be considered.

Thanks to AI, doctors can now extract useful information from medical images that are difficult to detect with the naked eye. This is information that allows for a more refined, antecedent and especially precise diagnosis. Professor Olivier Luciderm, head of the Department of Multipurpose and Oncological Radiology at Pittie Salpetria Hospital, while endorsing the idea that AI could optimize doctors’ diagnostic capabilities, especially in rare cases. , Thanks to an extended analysis capability of unlimited databases. And to reassure Laurent Schlosser, director of Microsoft’s public sector division, that “98% of today’s health is healing. “Artificial intelligence will make it possible to switch to more preventative drugs.”

AI will actually make it possible to identify pathologies more quickly and treat them more efficiently and save considerable time. It will be possible to intervene even before the disease appears. For the benefit of AI, the efficiency of the doctor is increased tenfold and hence different forces are applied for the treatment of the disease.

When doctors and robots are called upon to cooperate

AI has already taken a very important proportion in the world of medicine. Today, in-depth education in medical imaging has encouraged the development of tools that can detect the presence and even location of cancer cells. However, I continue to develop artificial intelligence solutions that will revolutionize my medicine. In a few years, it will be possible to analyze images and tissues, screen for tumors or melanomas, as well as search for diagnoses with the key to their division and their evolution, will soon become a reality. It has even been imagined that artificial intelligence could soon advise a patient, go to a doctor, or he can detect the risk of stroke in advance, thanks to the patient’s file analysis and risk profile.

Today, technology derives from artificial intelligence Allow the onset of Alzheimer’s in the meantime, As well as minor cognitive deficits. This ability to predict AI will enhance the intervention of physicians who will be more efficient and responsive in their approach to resolving pathology. Speaking of responsiveness and time saving, AI also promotes remote treatment, thus reducing the patient’s hospitalization time and rational costs.

Far from wanting to leave doctors in the background, AI will work to coordinate its strengths with doctors as well as make possible a new apprehension about their work. From now on, doctors will be exempted from technical work and repetitive work to focus on other research poles. This will enable them to better manage their time, and use their disposal tools more wisely. However, there are major questions of incompetence in the case of errors. Who will be responsible in this case; Man or machine? In tackling the risk of abuse, it is appropriate for AI to have a legal framework and build strong, mature ethics with intelligence.

Adequate amount of AI in medical field should be recognized today. Evidence of its strong presence in diagnostic radiology, ophthalmology and even in anatomopathology. Taking examples Automatic diagnosis of brain or skin tumors, or detection of diabetic retinopathy, We understand how much AI exists in the medical world. Even better, when we realize that in each of these cases, the effectiveness of AI is comparable to that of doctors, and that these results may be faster and more reliable than in humans, then its usefulness speaks for itself. In this case, the AI ​​results will be easily verified and validated by humans.

However, the reliability of AI results is not the same in all medical fields. In some cases, some AI predictions will not be verifiable. This would be, for example, when a disease is predicted 5 years in advance, or when the risk of death needs to be predicted, or when performing genomic analysis. In any of these areas doctors and patients simply have to blindly believe in AI, which can be wrong in spite of everything.

This is a real problem with the use of AI in medicine. Something like controlling drug marketing, so it is appropriate to control the use of AI in medicine by establishing a well-defined legal and ethical framework.

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