With the help of technological development, especially Artificial Intelligence (AI), a revolution is also being expected in the health sector. Experts believe that this will help in better treatment of many rare and complex diseases. In a related study, researchers reported that with the help of a new AI tool, brain tumor cases can be treated faster and more effectively.
Researchers have developed a new AI tool that could help neurosurgeons treat brain tumors, according to a study presented this week by Harvard Medical School. It can also revolutionize the way of reducing deaths due to brain tumors worldwide every year and improving the quality of life of patients.
Experts hope that with the help of this AI tool, the major factors of brain tumor cancer will also be able to be treated more easily than before.
Brain tumor treatment with the help of AI
Neuroscience researchers around the world have been striving for decades to understand the most common brain tumor in cancer patients – gliomas. During the research, Professor Kun-Hsing Yu of Harvard Medical School and his team found that with the help of machine learning (Artificial Intelligence) can help in the timely diagnosis and better treatment of glioma.
Different types of glioma require different types of surgery, says Professor Yu. With the help of AI, this can be a lot easier.
Will help in quick and effective treatment
We need a variety of real-time information to safely remove a glioma without damaging the surrounding brain tissue, say researchers from the Department of Neurosurgeons. And this cannot be done properly unless the patient is on the operating table.
Yu said that with the help of state-of-the-art medical facilities, the analysis of brain tissue samples can usually be completed within 10 to 15 minutes. This can happen along with surgery. With the help of this, not only will the process of surgery be easier, but also we will be able to do it successfully with more effectiveness.
What do experts say?
The accuracy of the new machine learning tool is believed to be more impressive than traditional techniques for analyzing the structure of a glioma, which is certainly much better, says neurosurgeon Dr. Dan Cahill of Massachusetts General Hospital. Surgery is different for each patient. Machine learning can also tell what are the different needs of a patient in the treatment of brain cancer.
Yu and the study's co-authors believe the technology will also help in the operating room to better understand how dangerous a tumor is, while simultaneously taking measures to protect other cells.
Technical and medical fields
Professor Yu says that there is still time to use this technology. It also has to be recognized at many levels. But it can be a big gift to the medical world in the future. The simultaneous development of the technical and medical fields is very important for the treatment of many serious diseases.
Earlier this year, a team of medical researchers in London developed an AI tool that can identify whether an abnormal growth seen on a CT scan is cancerous or not. While this has so far required a separate long test.
(PC: Freepik)
