AI health apps

See, in today's article, the 3 AI-powered health apps that can greatly improve medicine, helping with diagnosis, drug production and more effective treatments.

AI will be increasingly present in the world, not being different in the medical field.

With this technology, it will be possible to have:

• Diagnostic assistance;
• Predictive medicine;
• Computer-assisted surgery;
• Medical robots;
• Patient screening;
• Anticipation of an epidemic;
• Development of new treatments.

Check out the health apps with AI below.

1- AI in patient guidance

It would be great if a patient could list their symptoms in an encyclopedia that memorizes the disease information already catalogued, right?

This is already a reality at CHUM in Montreal, where this technology is used to triage patients in the emergency room.

Thus, the patient must enter their symptoms into a computer, and the AI will classify the degree of urgency that the patient must be attended to.

The artificial intelligence contained in this program can also determine the type of problem that the patient has, such as heart, lung and others.

According to CHUM President and CEO Dr. Fabrice Brunet: "Currently, we are comparing this machine classification with the human classification."

"The machine saves time, but we want to make sure that this screening is done wisely and that it's of high quality, because it might work well for one type of patient but not for another."

“You never take it for granted that because something is new and innovative, it will be beneficial. We must continue to be critical. AI, like any innovation, must be evaluated and measured so that we can guarantee benefits”, declared.

2- AI to develop medicines

Nowadays, for a new drug to be placed on the market, a lot of money and time is spent, almost a decade.

But in emergency situations, such as a pandemic, it is necessary to take very quick measures.

To reduce the development time of a drug, it is possible to optimize the pre-clinical research.

That's what the start-up InVivo AI does, bringing a faster process to develop drugs.

The creators were three doctoral students from Quebec, Canada, using knowledge from:

• Computational neuroscience;
• Molecular biology;
• Machine learning.

As a result, they were able to develop technology that speeds up clinical research and drug development.

3- AI in diagnostics

As there are many medical tools, in order to make a diagnosis, the doctor needs to take into account several data.

So, AI is very present when interpreting imaging and radiology exams.

Some types of cancer, such as lung or breast cancer, can be more difficult to diagnose with a CT scan.

Thus, AI programs can better identify abnormalities that the human eye cannot, such as early tumors.

That was the idea of the start-up Imagia, located in Montreal, which can help identify some types of cancer, while also managing to bring more personalized treatments, speed up clinical research processes and seek new types of treatments.

Its platform, Evidens, which uses Deep Radiomics algorithms, can produce biomarkers through digital images, which can measure normal and pathological processes in the body from a therapeutic intervention.

Technology with AI detects if there is any abnormality and can observe the evolution of diseases.

She is also able to learn by herself, bringing in her memory the data of diseases and abnormalities that have already been discovered, which provides greater accuracy in diagnoses.

Another company, Diagnos of Quebec, has developed an AI technology that can diagnose diabetic retinopathy.

This is a complication of diabetes, affecting 50% patients who have type 2 disease, and is 5% the cause of vision loss worldwide.

Through photos of the retina, the program identifies whether there are signs of the disease.

Such pictures are taken using special cameras, which can already be found in pharmacies, optometry centers and clinics.

This AI technology has so far managed to analyze almost 225,000 patients in 16 countries.