Surgical aid from machines, connected prostheses… AI is taking up more and more space in the world of health. Through the study of genomics (discipline of modern biology, by designing a digital twin, unique (fully personalized) solutions and treatments can be given.
Such progressions essentially exist through the design of deep-learning algorithms. The major strength of the latter lies in learning from mistakes. Discover the innovations that are already disrupting the world of virtual assistants.
To better find the disease and better support it in daily life
With five thousand symptoms and 1,300 disorders/diseases listed, the “symptom checker” offered to people insured by the MMA group offers the possibility of studying and defining their state of health. When all the symptoms and the profile are integrated, the application reveals a series of questions. Then, it displays possible health problems, with a classification in order of probability.
In approximately 89% of situations, the most plausible cause defined by this AI solution matched the real diagnosis. This offers the possibility for insured individuals to obtain an instant response to a fear. For example, it’s Saturday night and I have a severe pain in my head, should I be worried? In the United Kingdom, we use this artificial intelligence to sort out the emergency room in order to relieve the teams.
Another relevant AI solution: the Vik chatbot. From breast cancer to asthma, without forgetting depression or multiple sclerosis, this option offers answers to the questions of sick people. The algorithm was thought out and designed using information provided by patient associations and confirmed by specialists. After breast cancer, is it possible to get a tattoo? What foods to choose when you have eczema? What are the solutions to depression?
Thanks to artificial intelligence, it is possible to benefit from a qualitative, personal response that is available continuously, 24 hours a day, seven days a week. The healthcare professional focuses solely on medical knowledge. At the right moment, when the patient feels the urge, AI comes into play. If a woman experiences breast cancer at an early stage, by finding information on the web, she can discover stories of sick people with terrible prognoses. Thus, there can be a terrible effect on his mind.
AI also makes it possible to be helped following an outpatient operation. Thus, following an operation, the machine designed by ASISPO exchanges with the operated person. Its role is to support it by giving it appropriate and appropriate recommendations.
Diagnostic aid tool to define the dangers
Artificial intelligence makes it possible to optimize the diagnostic of a multitude of worries. In the field of radiography, with respect to the skeleton, the algorithms make it possible to perfectly unearth bone fractures and anomalies.
For breast cancer, multiple AI algorithms make it possible to define the dangers according to the density of the breasts. They can automatically find micro-calcifications that may be linked to a slight cancerous focus.
As for chest scans (concerning lung cancer), the algorithms manage to find thin lung nodules and define their growth rate, essential data to define the danger of lung cancer. This also ensures that there are no false positives.
Diabetic retinopathy, this heavy diabetes concern targeting the eyes, can lead to blindness in the worst cases. Here, AI has offered the possibility of designing automatic fundus reading software to perfectly unearth lesions.
To find hypertension, nearly 18 different blood pressure measurements are necessary with the classic method: three measurements morning and evening for three days. It is difficult to undergo this kind of treatment. Via AI, we obtain 40% of people for whom half of the measurements (9) turn out to be sufficient in order to have a 99% sure diagnosis.
In the dermatological field, with deep learning applicationsit is possible to photograph a mole to instantly assess the danger of melanoma.
Find a drug interaction and find the best therapy
What if AI could interpret what lies between the lines? Via the automatic natural language processing solution, artificial intelligence can make it possible to find drug interactions if there are multiple pathologies. AI can find and interpret critical information, pinpoint specific turns of phrase, and locate a lack of negation.
Other AI: thanks to the Consore project, ten centers of the Unicancer network compiled their databases in relation to a program of research projects. The purpose is to draw inspiration from the treatments that have been the most efficient and the best supported. Thus, patients can know the best possible treatment via this artificial intelligence which chooses profiles with similar histories (age, type of organ affected, etc.).
Today, medical deserts are legion. Access to care is unequal. AI can solve this problem. Thus, strategies labeled by renowned specialists can be offered to billions of people, in all languages and at an affordable price. With artificial intelligence, it is possible to take care of patients faster and anywhere on the globe.
And for ethics? Questions arise. How far can we go in this early detection? Who will benefit from this predictive imagery? If I perform a benign examination and I am found to be in danger of lung cancer, what should I do with this simple information? Should I tell those around me, my insurance or my mutual? In addition, the danger increases with the passing weeks and months. Let’s also take into account that there will certainly be even more effective treatments in a few years. One thing is certain: the robot is not ready to supplant the human, the human function (nurses, doctors, surgeons, radiologists etc.) still remains essential to provide the right explanations, to exchange with the person and above all to know how to part of things. At present, a simple robot cannot. From now on, society must answer these various questions about AI and the moral aspect of its use in the field of health.
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Screening, treatment: AI is treating us more and more
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