Utilizing AI and ML for the Purpose of Early Cancer Detection and Responsiveness

Abstract

Cancer is the leading cause of death on a global scale. While there have been advancements in cancer diagnosis, prognosis, and
therapy, a significant challenge remains: the absence of data-driven, customized care. One promising approach to improving
healthcare precision and patient outcomes is the use of artificial intelligence (AI) for the prediction and automation of various
cancers. Evaluating risks, detecting cancer early, predicting patients’ prognoses, and selecting treatments based on thorough data
are all areas where artificial intelligence is finding use in cancer care. For malignancies of the breast, brain, lung, liver, and prostate,
machine learning (ML), an AI technique that enables computers to learn from training data, has shown to be very effective.
The use of AI and ML has already surpassed that of human doctors in cancer prediction. These innovations have the ability
to improve cancer patients’ prognosis, treatment options, and overall quality of life, among many other diseases. Therefore,
developing new patient-support systems and improving current AI and ML technologies is of the utmost importance. This
article explores the current state, potential future applications, and current limits of artificial intelligence and machine learning
algorithms as they pertain to cancer prediction.