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Dr. Arvind Jaiswal is a Professor in the Faculty of Computer Applications at Acropolis Institute of Technology and Research, Indore, Madhya Pradesh. His academic role involves teaching and research in computer applications and related computing technologies.
Breast cancer ranks among the most often identified malignancies in women globally, and timely identification, precise categorisation, and dependable prognostic evaluation are crucial for enhancing treatment results. Artificial intelligence (AI), especially machine learning and deep learning, has surfaced as a viable method for scrutinising medical imaging, detecting questionable breast lesions, categorising tumours, and predicting disease-related results. Convolutional neural networks, vision transformers, ensemble learning, and multimodal architectures are capable of discerning intricate patterns from this data and facilitating various phases of the diagnostic process. An integrated framework is offered to facilitate reproducible research and ethical implementation. The section underscores that artificial intelligence ought to enhance traditional diagnostic methods and expert evaluation, with its clinical application reliant on stringent external validation and demonstrable clinical advantages.