The healthcare system is slowly changing as doctors are slowly gaining more aid in the form of artificial intelligence (AI). Doctors have always had assistance, but never one that is always connected and always learning.
Before long, AI will become the standard in hospitals and clinics around the world, though at the moment, there’s not enough data to tell if this is a good thing. For now, we can say for certain that artificial intelligence can aid in the shortage of physicians.
Not only that, but AI could reduce the cost of your hospital bill, but for now, that’s just a theory.
You see, a consulting firm known as Accenture, recently found out that the use of 10 AI applications that are promising in their ability, could one day create up to $150 billion in yearly savings by 2026 where the U.S. healthcare is concerned.
Now, one of the most standout AI programs that could potentially make a big change, comes directly from Gustave Roussy, which is a European center for cancer research.
AI prepares to take the fight to cancer
In a recent study published by the medical journal, The Lancet Oncology, medical researchers from Gustave Roussy and other institutions have proven that AI has the capability to extract biological and clinical information that can aid patients in immunotherapy treatment.
For this to happen, the artificial intelligence system must process several medical images, and if we are correct, it must be able to do this task quickly.
Here’s the thing, the researchers used a specially made algorithm designed to analyze CT scan pictures. Not only that, it should be able to create a “radiomic signature.” We’ve come to understand this signature is all about defining the level of lymphocyte penetration of a tumor.
What else does artificial intelligence accomplish here?
Another big role AI takes in this research is one most should come to expect. Indeed, it’s machine learning, which means, the system is capable of using relevant information taken from CT scans of participants in the study or patients in general.
From the images the AI system has scanned, it can predict what the genome might have exposed about the tumor immune infiltrate. From here, the artificial intelligence will move to establish a radiomic signature.
As it stands, then, physicians in the future may one day be able to use imagery to identify biological singularities in tumors from any section of the body. Interestingly enough, this is possible without ever having to perform a biopsy.
The future is looking bright for artificial intelligence in the healthcare system and could bode well for doctors in terms of cutting down work hours. Now, how well AI is destined to benefit patients is left to be seen.
We’re guessing that for the long term, doctors will have little choice but to keep watch until it comes to the point where AI can perform in hospitals without supervision.