As per a recent report, it has been found that patients with pancreatic cancer have only 7 percent chances of surviving after the diagnosis of the fatal disease for more than five years. This figure as stated by Elliot K. Fishman –a leading researcher & radiologist at the John Hopkins Hospital is the lowest rate for any cancer.
In the latest findings, the John Hopkins Hospital researchers have come up with the observation that the technology of Artificial Intelligence (AI) and deep Machine Learning can be utilized for changing the statistic of the treatment of pancreatic cancer.
Deep learning has become a major part of the modern technology-driven world. Several industries across the world are making use of this revolutionary technology towards developing high-end automated solutions.
Utilizing the same, Fishman at the John Hopkins Hospital aims at spotting pancreatic cancer sooner than the ongoing human efforts by making use of the GPU-accelerated deep learning Artificial Intelligence to the task of combating cancer. Fishman is assisting in the training of the deep learning algorithms for spotting minute textural changes to the pancreas tissues along with the nearby organs. These changes seem to be the first-ever signs of pancreatic cancer.
Deep learning methods can be used for earlier diagnosis of cancer. Fishman estimates that nearly third of the cases as observed by him could be detected around 4 to 10 months earlier with the help of this breakthrough technology.
The ability to optimize the overall analysis of each study is one of the primary goals of the project. It is something that the researchers believe that they can accomplish positively. The main aim of the project is to change the trajectory of the treatment of pancreatic cancer and ultimately, the rate of patient survival.