In today's article, we will show 3 AI health applications that can greatly help medicine in treatments, disease identification and faster processes.

In medicine, AI is increasingly present.

It can assist with diagnostics, help with predictive medicine, develop medical robots, help with computer-assisted surgery, anticipate an epidemic, triage patients and develop treatments.

Check out the So, we separate the 3 health apps with AI.

1- AI in patient guidance

Now it is possible to list your symptoms in an encyclopedia that carries information on all diseases already catalogued.

Such technology is present at CHUM in Montreal, which uses it in triage in the emergency room.

The patient must input their symptoms into the computer, and the AI will classify their degree of urgency to be attended to.

This AI can even classify the nature of the patient's problem, such as cardiac, pulmonary and many 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 in drug development

Nowadays, for a new medication to be released on the market, a lot of money and time is spent, basically a decade.

But in pandemic and epidemic situations, action needs to be faster.

Therefore, it is possible to reduce the time for the development of a medication, such as a vaccine, by optimizing pre-clinical research.

This is the objective of the start-up created by three doctoral students from Quebec, InVivo AI, which helps in the development of medicines.

Its creators used diverse knowledge for its creation, such as knowledge of computational neuroscience, molecular biology and machine learning, managing to speed up the research and development of drugs.

3- Ia in diagnostics

We have several medical tools, so to make a diagnosis, the doctor must consider a lot of data.

Thus, AI is very present in the interpretation of radiology and exam images.

Such as, for example, to detect some types of cancer that are more difficult to diagnose by tomography, such as lung and breast cancer.

The program is capable of identifying abnormalities in the body that cannot be seen with the naked eye, such as early tumors, helping a lot in the treatment.

Imagia, a Montreal start-up, can detect some types of cancer, as well as help accelerate clinical research, discover new treatments and develop personalized treatments.

Evidens, which uses Deep Radiomics algorithms, can produce biomarkers through digital images, which can measure pathological and normal processes within a therapeutic intervention.

It can detect whether there is any abnormality in the body and also monitor the evolution of a disease.

The program is even able to learn by itself, bringing to its memory the diseases and biological abnormalities that have already been discovered, which brings more accuracy in the diagnosis.

The company Diagnos, from Quebec, was able to develop a technology with AI that diagnoses diabetic retinopathy.

This is a condition arising from the complication of diabetes, which affects 50% people who have type 2, and is responsible for 5% causes of vision loss worldwide.

The technology uses a photo of the retina to identify the first signs of such a disease.

The photos are taken with special cameras, which take a few minutes to be ready, and can already be found in pharmacies, clinics and optometry centers.

AI technology has already managed to analyze almost 225,000 patients from 16 countries.