Date of Publication :22nd July 2023

Abstract: Detecting breast cancer in its early stages has proven to be a life-saving development. Modern technology offers a combination of modern medical imaging, manual screenings, and patient awareness of symptoms, helping in reducing the death rates from this form of cancer worldwide. Various applications of AI are being employed to increase the precision and speed of breast cancer detection. AI algorithms use data from digital mammograms and other imaging such as ultrasound, MRI, and CT scans to detect abnormalities that may be indicative of breast cancer. AI-enabled systems can also assist radiologists by flagging areas of concern within an image for further investigation. As Deep learning models are being used to interpret images with greater accuracy than ever before. Therefore, early detection of the disease and effective treatment become crucial in the fight against it. With its many applications, artificial intelligence (AI) is still revolutionizing many aspects of our life. AI integration into the present screening process makes finding results easier and more convenient. However, there are numerous obstacles in the way of AI integration that must be dealt with methodically. The use of AI in breast cancer screening will be discussed in the paragraphs that follow.

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