What Impact Will artificial intelligence (AI) Have on Cancer Care?

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What Impact Will artificial intelligence (AI) Have on Cancer Care?

The AI revolution has major consequences for all of medicine, but especially for the precise treatment of cancer. Mammography, CT scans, and microscopy, which are used to study tissue biopsies and surgical resection specimens, are among the radiographic imaging technologies that have been touched by the initial wave of medical AI tools.

Statistical and machine-learning methods, such as neural networks and the layers of neural networks referred to as "deep learning," have enabled increasingly accurate pattern identification and classification. These kinds of image analysis can help with cancer detection, diagnosis, and cancer aggressiveness when used with medical imaging and diagnostic pathology. AI-aided interpretations are becoming more and more important as a result of improvements in the collecting of radiographic images and the scanning of pathology slides, which result in substantially bigger volumes of data acquired.

In older times, pathologists used microscopes to examine samples while radiologists viewed X-ray images. When analysing the lower-resolution images produced by these techniques, both used their eyes to distinguish features and their brains to spot patterns. AI-based support is crucial since technology advancements have enhanced image resolution and data richness, providing massive volumes of data that are beyond the capacity of the human eye and brain.

What Impact Will AI Have on Cancer Care?

A large collection of image files from cases with known outcomes, such as cancer versus noncancer, aggressive cancer versus nonaggressive cancer, etc., are used to "train" a computer algorithm, and then a second set of cases is used to validate the algorithm. This basic approach is used to develop AI tools to assist radiology and pathology. The algorithm can then keep getting better as it examines additional image data. 

These methods will very quickly become standard clinical practice. An Artificial Intelligence/Machine Learning Action Plan was published by the U.S. Food and Drug Administration in 2021 in anticipation of a wave of device applications utilising computer-aided methods for numerous medical reasons. 521 AI-enabled medical device approvals had been made as of October 2022.

AI has not yet supplanted skilled pathologists or radiologists. Instead, more accurate classification abilities have been employed to point out important image characteristics to the human eye. Will this develop into a more advanced human-machine interaction, enhancing precision cancer medicine? It's difficult to make forecasts, especially concerning the future, as the wise Yogi Berra famously observed.

We are aware of how essential it is for you to get informed about cancer and treatment options and to fight for the best possible care that will give you the resources and research for more effective cancer treatment and prevention.

Visit Cancer 2024 to learn more about AI in Cancer research by joining our community to be held in Bangkok, Thailand. 

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