Cancer Detection and Diagnosis Using Artificial Intelligence

Abstract

Healthcare sector in today’s era is swapping drastically with the latest technologies like artificial intelligence, machine learning, and deep learning. These technologies have notable determined very aspects of the hospital. Many precise tasks such as image recognition for example classifying skin biopsy lesions, determining diabetic retinopathy severity, and detecting brain tumors can be done with the help of engineering science and present day technology called artificial intelligence. With such an amazing technology, there has been a great engrossment in developing AI diagnostics solutions for the detection and diagnosis of cancer. With the immediate requirement of AI systems, there will be great change in the healthcare sector. This advanced and extraordinary technology will play a great role in stopping the rapid growth of cancers, low awareness among the extended population, and lack of sufficient services and clinical expertise so that AI systems can assist the clinicians in this domain. Analysis of big datasets can be done very easily and with less cost and time by using AI technologies. Many deep learning algorithms, AI solutions are developed by researchers to detect and diagnose cancer precisely and to handle the skin datasets smartly. The advancement and endorsement of AI algorithms need large volumes of well-structured data, and these algorithms must work with changing levels of data quality. It is very important to understand how AI algorithms function to stop the severe conditions of cancers like breast cancer, gastric cancer, prostate cancer, and many more. The clinicians must understand this technology deeply and how it perfectly fits into everyday clinical practice and how patients are calmly addressed. This paper surveys how different types of cancers are detected and diagnosed using the latest AI technology as AI provides good support to doctors for the detection and diagnosis. It also plays a clear and supreme role in aiding patients in cancer detection in the future and will be thrilling to check the benefits that arise for patients and doctors from its use in everyday practices.

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