Role Of Artificial Intelligence In The Field Of Oncology

Artificial intelligence and its wonders are visible everywhere. From digital assistants in banks and retail stores to quick diagnosis of disease without human intervention, there’s so much humanity needs to thank the technology for.

Artificial intelligence enables a computer to recognize patterns in large volumes of data. It extracts relationships between complex features and variables in any given dataset. It has empowered humans with the ability to identify characteristics of things when doctors and surgeons reach their wit’s end.

This article aims to shed light on the groundbreaking role of AI in the field of oncology.

Artificial Intelligence transformations in the field of cancer studies

Cancer is one disease that scares every human being. To think of any human not even remotely related to you being diagnosed with cancer leaves you with jitters. But the good news is, like all avenues of life, Artificial intelligence has begun to make its mark in the field of cancer research as well.

It has made it easier than ever to diagnose, screen, and monitor the tumors in the human body. People have been rushing to attend events related to AI in UAE to witness such wonders of AI. More on the breakthroughs on cancer research is as follows:

1. Diagnosis and screening

AI is capable of rapid and useful screening in the scenarios of prostrate as well as cervical cancer. With a deep learning approach, many investigators in the world have successfully observed screening of cancerous cells with automated detection. AI tools have enabled the prediction of patient outcomes with MRI scans.

Studies show that 17 million cases of cancer were diagnosed in the year 2019 alone. The research also suggests that by 2040 27.5 million cancer cases may get diagnosed. Diagnosis is not something to celebrate, but it takes you to the next step, and you can seek treatment.

2. Drug discovery

AI is empowering scientists to find and unravel new ways of treating cancer. Healthcare institution has data inventories with tons of useful information. Now AI is enabling human beings to use this data to the benefit of cancer patients. Now it is possible to streamline big datasets and identify the genomic makeup of cancer cells. After genome detection, it gets relatively easy to find out the drug which can provide a cure.

3. Cancer surveillance

The application of deep learning is significantly rising in the field of surveillance. You can now analyze the information particular to a patient against the cancer statistics. NCI in the US has collected cancer statistics on surveillance, epidemiology, and end results.

Real-time data analytics enable the treatment of newly diagnosed cancer patients to be linked with beneficial clinical trials.

4. Genome characterization of tumors

Scientists are using big data and analyzing it to study the genomic makeup of tumor cells of cancer patients. You can now use AI technology to compare the DNA of a normal and healthy cell with the one affected with cancer.  This allows healthcare professionals to determine if there are any mutations.

In the US, an international team with the support of NCI at Harvard University recently was successful in developing a deep learning method that is useful for the identification of IDH mutations. The method is noninvasive and makes use of MRI scans for the identification of mutations.

Artificial intelligence may save lives in the future!

Technology has been saving time by reducing manual labor for long now. But times have come when the promises of AI-driven technology are growing in size and number. In the field of Oncology, AI is promising to help access quality cancer data. It is helping health care professionals and health practitioners by bridging the gap between research and practice.

AI is thus paving the way for a distinct cancer research community in the world to help develop new computational practices and pushing the limits of the currently prevalent tools and equipment. The world community is hoping for the wide availability of cancer tracking machines and tools which will not only help monitor the progress of the treatment but also intimate the cancer specialists take important steps to help save lives.

Do not underestimate the potential that artificial intelligence has got to offer in the field of cancer. There is still some time to wait before the theoretical research can be implemented to the benefit of humanity, but the future is pretty bright.