Impact of AI
The war on cancer and AI
According to Gartner, the market size of AI software will reach USD 62 billion in 2022, 21.3% more compared to 2021.
AI can bring about significant changes in healthcare, too. These will lead to a new understanding of the causes, nature, and treatment of disease.
The impact of AI on oncology could be tremendous. Until now, the generic treatments for cancer involved surgery, chemotherapy, and radiation. As a result, It has been referred to as the “cut, poison, burn” method.
The war on cancer is entering a new stage. In the inspiring words of Lynda Wolters, the author of Voices of Cancer, “Cancer can change your body, and it can surely take your body away, but it can't have your spirit.”
A quick look at the current state of oncology
In the 18th century, the French philosopher Voltaire declared, “Doctors are men who prescribe medicines of which they know little, to cure diseases of which they know less, in human beings of whom they know nothing.”
People have come a long way since then. Medicines are specialized and effective. The pathology of diseases is better understood. Treatments are more humane. Despite many breakthroughs, there is much that remains to be done.
Cancer itself has been diagnosed since ancient times. For example, an Egyptian text called the Edwin Smith Papyrus from approximately 3000 BCE contains descriptions of breast tumors. According to the WHO, cancer is a leading cause of death worldwide. It accounts for nearly one in six deaths.
Advances in oncology mean significant progress in screening, detection, and treatment. Nowadays, radiation and hormone therapy are helpful, along with chemotherapy. Targeted therapies try to control the growth and division of cancerous cells. And surgeons have developed technical expertise in tissue removal.
AI could bring about the next shift in cancer treatment. From screening to detection to treatment, Big Data makes a big difference.
Changes in Oncology
Using deep learning to understand oncology
In The Emperor of All Maladies, his award-winning book on cancer, Dr. Siddhartha Mukherjee has written: “To confront cancer is to encounter a parallel species, one perhaps more adapted to survival than even we are.”
With AI, attempts to study and treat these parallel species enter a new dimension. It is reshaping horizons for the management of cancer patients. Researchers are learning to recognize patterns from several models. The information gained is used to improve decision-making approaches.
This approach relies on machine learning and deep learning methods. Machine learning reshapes patterns and models of analysis, and deep learning refines this for predictive performance.