Treatment of pancreatic cancer can make better progress with the help of the 13-year-old Rishab Jaiba. He has created a tool for doctors to find out which pancreas is difficult to detect faster and more precisely during the cancer treatment process. The teenager has recently won the award of young scientists for their extraordinary ideas.
Rishab Jain from Portland, Oregon, recently won the prestigious "Discovery Education Published 3M Young Scientist Challenge " because of their success in creating algorithms that use artificial intelligence or "Artificial Intelligence" AI to improve the treatment of pancreatic cancer.
He said during radiotherapy, the device he made could detect the pancreas faster and more precisely.
"It is very difficult to find a pancreas with a naked eye, and even a trained radiologist sometimes takes a few hours to detect the site due to the presence of other organs at the pancreas site. so it can cause problems with the operation and other treatments, "said Rihab Jain.
So, Rishab Jain, train equipment at CTE or a real MRI scanner on the abdomen and find out more about how the pancreas looks and where it is.
"This is my device, Deep Learning System of Pancreatic Cancer. On the right is the result of scanning the patient's abdomen, the entire respiratory system, the pancreas movement differently; see how difficult it is to determine the actual location. Well, the left is a prototype device Artificial Intelligence GUI (Graphical User Interface) I did, "he added.
"Therefore, during the treatment of radiotherapy using a MRI guide, a physician can use his device to find out exactly where the pancreas is located so that he can work more efficiently, so the potential for errors is a consequence of a decrease in healthy cells or other organs," continued Rishab Jain.
Pancreatic cancer is relatively rare, but can be cowardly. This cancer is slowly growing and because the pancreas is deep in the body, the initial tumor is often not recognized. People usually have no symptoms until the cancer spreads to other organs.
Rishab plans to use the $ 25,000 reward he has received to develop his prototype device into a useful model. He hopes to one day partner with hospitals and companies to commercialize the use of his artificial appliances. [em]