3 health apps that use AI

Find out which are the 3 health apps that use AI and promote a great improvement in medicine, bringing more accurate diagnoses, more personalized treatments and other advantages.

AI will be increasingly seen within healthcare.

Technology can help with:

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

See then, the 3 health apps that use AI.

1- AI technology for patient guidance

What if it were possible to list symptoms through an encyclopedia that stores information on diseases already cataloged by medicine?

This is already happening at CHUM in Montreal, using technology to triage patients in the emergency room.

Thus, patients arriving at the emergency room can enter their symptoms into the computer, where, through AI, their degree of urgency in care will be classified.

The program is also able to say what is the nature of the patient's health problem, such as heart, lung and many others.

Declared Dr. Fabrice Brunet, President and CEO of CHUM: "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”, finished.

2- AI to develop medications

Nowadays, for a new drug to be launched on the market, it takes almost a decade and a lot of money.

However, for more urgent cases, such as pandemics, measures must be taken quickly.

Thus, for a drug to be developed more quickly, it is possible to optimize pre-clinical research.

And that is the objective of InVivo AI, a start-up created by three doctoral students from Quebec, to help speed up such processes for drug development.

These students used knowledge of:

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

Its creation manages to reduce the production time of drugs and clinical research.

3- AI for diagnostics

With several medical tools available, it is necessary for doctors to take into account several data to make a diagnosis.

Thus, AI is becoming more present when interpreting imaging and radiology exams.

As for some types of cancer, which are more difficult to diagnose through tomography images, such as lung cancer and breast cancer.

So, the AI program is able to identify abnormalities, such as early tumors, which are not so visible to the naked eye.

The start-up Imagia from Montreal, brings this goal, helping to:

• Detect some types of cancer;
• Develop personalized treatments;
• Accelerate clinical trials;
• Discover new forms of treatments.

Its platform called Evidens, which uses algorithms from Deep Radiomics, is capable of producing biomarkers, using digital images, to measure pathological or normal processes from therapeutic interventions.

This technology can detect whether there are abnormalities in the body and even observe the evolution of a disease.

It is also capable of self-learning, storing data on all known diseases in memory, as well as biological abnormalities, helping a lot for an accurate diagnosis.

As for the company Diagnos from Quebec, it has developed a technology with AI to help in the diagnosis of diabetic retinopathy.

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

The technology uses a photo of the retina, managing to identify if there are any of the first signs of the disease.

Special cameras are used to take the pictures, which take a few minutes, and can already be found in clinics, pharmacies and optometry centers.

The technology has already managed to analyze almost 225,000 people from 16 countries.