Cancer is a manifestation of abnormal condition of the body’s cells, characterized by rapid cell growth. Breast cancer occurs when breast cells proliferate and multiply uncontrollably. Early detection and diagnosis of breast cancer are proved to invariably reduce the mortality rate. Recent advancements in medical science namely Artificial Intelligence based prediction / diagnosis models are proved to be more reliable and promising in disease diagnosis and decision-making. This article comprehends on the reported research work related to breast cancer detection using multimodal data. The primary motivation behind the comprehensive literature review from existing literature provides the lack of conventional unimodal analysis evolved into multimodal frameworks, which this review aims to address. The exploration of literature confirms the viability of developing an efficient Intelligent System for Breast Cancer Detection, being trained on the Multimodal dataset