Health applications with artificial intelligence
Today we brought health applications with artificial intelligence, which can greatly help in the evolution of medicine.
We will increasingly see the dominance of AI, and it will appear a lot in the healthcare area.
AI can be useful to anticipate epidemic care, have medical robots, computer-assisted surgery, bring new treatments, in patient triage and for predictive medicine.
See below the health apps that use AI.
1- AI application for patient guidance
Currently, it is now possible for a patient to list their symptoms through an encyclopedia that provides information on cataloged diseases.
This is the reality at CHUM in Montreal, where this technology is used when triaging emergencies.
Then, the patient must, in the emergency room, enter their symptoms into a computer, and the AI will classify the urgency for care to be provided.
This AI can also determine the type of problem the patient has, such as heart, lung and many others.
Dr. Fabrice Brunet, president and CEO of CHUM stated: “We are currently comparing this machine classification with human classification.”
“The machine saves time, but we want to make sure this screening is done wisely and is of high quality, because it may work well for one type of patient but not another.”
“You never take it for granted that because something is new and innovative that 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”, It ended.
2- AI for drug development
As we currently see, for a new medication to reach the market, it takes almost a decade and a lot of money is spent.
But in some cases, like Covid, the solution needs to be quick.
Thus, by optimizing pre-clinical research it is possible to reduce vaccine development time, for example.
This is the objective of the start-up created by three doctoral students from Quebec, InVivo AI, which seeks to help speed up the drug development process.
These students used knowledge of molecular biology, machine learning and computational neuroscience to create the technology, speeding up the creation of drugs.
3- AI to help with diagnoses
There are many medical tools today, so to make a diagnosis you need to take into account a lot of data.
Thus, AI can help with better interpretation of exam and radiology images.
As an example, we cite some types of cancer that can be more complicated to diagnose through tomography images, such as lung and breast cancer.
Such AI programs can better identify whether there are any abnormalities, something that human eyes cannot always see, such as early tumors.
Thus, the Montreal start-up Imagia brings great help to detect some types of cancer, to accelerate clinical research, to develop new treatments and discover new forms of treatment.
The Evidens application uses algorithms from Deep Radiomics technology, which can produce biomarkers, through digital images, and measure pathological and normal processes during some type of therapeutic intervention.
This technology can detect whether any abnormalities have appeared in the patient and monitor illnesses.
The program can learn and store in its memory all biological abnormalities and diseases already catalogued, which helps with a more accurate diagnosis.
The Quebec company Diagnos has developed an AI-based technology that can diagnose diabetic retinopathy.
This is a complication of diabetes, which affects 50% of patients with type 2 of the disease, and is 5% the cause of blindness in the world.
The technology, through a photo of the retina, identifies whether the patient is showing the first signs of the health condition.
These photos are captured using special cameras, in a few minutes, and can be found in pharmacies, clinics and optometry centers.
He has already managed to analyze almost 225 thousand patients from 16 countries.
English (New Zealand) 
Portuguese (Brazil) 
English (United States) 
Arabic 
German 
Spanish (Mexico) 
French 
Italian 
Chinese 
Japanese 
Panjabi 
Korean 
Hindi 
Turkish 
Romanian 
Bengali 
Indonesian 
Portuguese (Angola) 
Hungarian 
Spanish (Spain) 
Norwegian 
Norwegian 
English (Australia) 
English (UK) 
Portuguese (Portugal) 
Dutch (Belgium) 
Greek 
Finnish 
Spanish (Colombia) 
Bulgarian 
Dutch
0 Comments