Any movement we make within the Digital world is monitored and transformed into data. When a video is suggested to you on youtube, or a song on spotify, this is not random, behind this “subtle” action, there is an Artificial Intelligence (AI) network learning in each click performed, in each step we take in the virtual world.
This AI network learning takes place in the most diverse markets: entertainment, industry, agriculture, health and others.
AI networks are the brain we create to improve human experiences, and that is why Artificial Intelligence has become an ally.
Even if the AI network never replaces human decision, it can be increasingly improved, and the best, it can be the junction of the knowledge of several specialists.
Benefits of Artificial Intelligence in imaging exams
Imaging exams such as radiographs, CT scans and resonances, after being performed, have their report generated and sent to the doctor so that he can make the diagnosis and prescribe the appropriate treatment.
As important as taking the exam is having a correct reading of it, which can be challenging for professionals at the beginning of their careers.
And this is where technology can help. AI networks, in addition to providing a more assertive report at the first moment, are capable of taking the knowledge of specialists to the four corners of the country.
And if this is already improving results, imagine when we perfected AI networks with the nuances of the human brain through BrainTech technology and generated even more efficiency?
Braintech technologies for imaging exams
BrainTech technology from InnerEye, a Macnica ATD Europe partner, uses the reading of EEG signals (electroencephalogram) captured directly from the specialist's brain and accelerates - and a lot - the data labeling process.
This happens because our brain takes less than a second to decide if an image shows a certain disease or not. In fact, we can evaluate up to 4 images per second, which speeds up the process and motivates experts in their fields to contribute to the evolution of AI networks.
Another important point that BrainTech technology brings to the diagnosis by imaging exams is that the nuances of the human brain can be read and used to improve the judgment of the AI network.
What does that mean? InnerEye's system, when analyzing the response of the human brain, also reads the percentage of certainty that the expert has about the given answer.
Thus, the AI network receives what we call a softlabel, the certainty of the given answer. In this way, we can cross-reference the responses of different experts for the same image and optimize the network.
This is very valuable, because, as we have seen, doctors at the beginning of their careers are more likely to make a wrong diagnosis than specialists in the field.
Contact us and learn even more about InnerEye's BrainTech technology.