Artificial intelligence is rapidly emerging as a transformative tool in breast cancer care, with applications ranging from mammogram interpretation to risk stratification and clinical decision support. While these technologies hold considerable promise, their integration into healthcare raises ethical issues. This paper examines four critical regions of this implementation: ethical guidelines, data privacy, responsibility and accessibility.

Artificial intelligence has become a revolutionary tool in breast cancer screening, particularly by enabling computer-assisted detection in mammography to help doctors confirm a diagnosis. However, it is susceptible to multiple biases that can compromise patient care. This article reviews these bias types, their impact and effective ways to reduce them and improve reliability.

Breast cancer remains the most common cancer among women worldwide, with metastatic breast cancer and interval breast cancer escalating the mortality rates due to their resistance to early detection. This proposal analyses the connection between interval cancer and metastasis, highlighting the limitations of current diagnostic models to develop an AI rarity-based screening tier classification model.

Recent advancements in the field of artificial intelligence have helped improve healthcare globally through rapidly accelerating existing medical and public health infrastructure. This paper explores the global use of AI in disease outbreak management, oncology, remote patient monitoring and mental health support in breast cancer care.

This paper aims to give an overview of the developments of AI in breast cancer diagnosis and chemotherapy treatment, the incorporation of AI in apps and devices, and the challenges and ethical issues of the implementation of AI.