Mahant Srushti S, Varma Anuj R
Department of Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Wardha, IND.
Cureus. 2022 Sep 8;14(9):e28945. doi: 10.7759/cureus.28945. eCollection 2022 Sep.
In today's world, progressively enormous popularity prevails around artificial intelligence (AI). AI is gaining popularity in the identification of various images. Therefore, it has been widely used in the ultrasound of the breast. Furthermore, AI can perform a quantitative evaluation, which further helps maintain the diagnosis's accuracy. Moreover, breast cancer is the most common cancer in women, posing a severe threat to women's health. Hence, its early detection is usually associated with a patient's prognosis. As a result, using AI in breast cancer screening and detection is highly crucial. The concept of AI in the perspective of breast ultrasound has been highlighted in this brief review article. It tends to focus on early AI, i.e., traditional machine learning and deep learning algorithms. Also, the use of AI in ultrasound and the use of it in mammography, magnetic resonance imaging, nuclear medicine imaging, and classification of breast lesions is broadly explained, along with the challenges faced in bringing AI into daily practice.
在当今世界，人工智能（AI）正日益受到广泛欢迎。AI在各种图像识别方面越来越受欢迎。因此，它已在乳腺超声检查中得到广泛应用。此外，AI可以进行定量评估，这进一步有助于保持诊断的准确性。此外，乳腺癌是女性中最常见的癌症，对女性健康构成严重威胁。因此，其早期检测通常与患者的预后相关。结果，在乳腺癌筛查和检测中使用AI至关重要。这篇简短的综述文章强调了乳腺超声视角下的AI概念。它倾向于关注早期AI，即传统机器学习和深度学习算法。此外，还广泛解释了AI在超声检查中的应用以及在乳腺X线摄影、磁共振成像、核医学成像和乳腺病变分类中的应用，以及将AI应用于日常实践中所面临的挑战。
