Discover the AI ​​apps for healthcare that bring more efficiency to the development of medicines, new treatments and easier diagnosis.

We will be able to see more and more artificial intelligence present in medicine.

With the help of AI, we will be able to have:

• Diagnostic assistance;
• Computer-assisted surgery;
• Predictive medicine;
• Epidemic anticipation;
• Medical robots;
• Help with patient screening;
• Development of new treatments.

See the apps with AI for healthcare below.

1- AI that guides the patient

Does being able to list your symptoms through an encyclopedia that stores information on all known diseases seem like a lot?

Be aware that this is already used at CHUM in Montreal, triaging patients in the emergency room using technology.

Thus, the patient, upon arriving at the emergency room, enters their symptoms into the computer, and the AI ​​classifies their degree of urgency in care.

Artificial intelligence also determines the nature of the patient's health problem, which could be, for example, cardiac, pulmonary, and many others.

According to Dr. Fabrice Brunnet, who is the 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 medicines

For a medication to be placed on the market, it currently takes a lot of time and money.

However, in urgent cases, such as Covid, quick action must be taken.

Therefore, optimizing preclinical research can reduce the time to develop a medication.

The start-up InVivo AI has this objective, helping to accelerate the development of medicines.

It was created by three doctoral students from Quebec, who used knowledge from:

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

With this, they were able to accelerate research and drug development.

3- AI for diagnostics

As there are many medical tools, to make a diagnosis it is necessary to take into account various data.

Thus, it is possible to have the help of AI in interpreting radiology and image exams.

For example, to detect some types of cancer that are difficult to diagnose, such as breast and lung cancer.

The program can identify whether any abnormalities are occurring in the patient, which are difficult to see with the naked eye, and help with better treatment.

Montreal-based start-up Imagia is now able to:

• Detect some types of cancer;
• Help in the development of personalized treatments;
• Accelerate clinical trials;
• Help discover new treatments.

Its Evidens, which uses Deep Radiomics algorithms, produces biomarkers through digital images that identify normal and pathological processes of a medical intervention.

It detects whether there is any abnormality in the patient and can monitor the evolution of the disease.

The program is also capable of self-learning, memorizing all known abnormalities and diseases, which brings more accuracy in diagnoses.

The Quebec company Diagnos developed AI-based technology for diagnosing diabetic retinopathy.

This is a complication of diabetes, which affects around 50% of patients with type 2, and is the cause of 5% of blindness in the world.

The program works using a photo of the retina, identifying whether the patient is showing the first signs of the disease.

Special cameras are used to take such photos, which can be found in clinics, pharmacies and optometry centers.

Almost 225 thousand analyzes have already been carried out on patients in 16 countries.