The following article reviews existing studies on Gestational Diabetes Mellitus (GDM) and the advancements made in Artificial Intelligence (AI) to support healthcare professionals and patients. Our article briefs over the health risks associated with GDM for the mother and fetus as well as the diagnosis processes involved. In our paper, we also discuss the various AI methods such as GBDT, ANNs and Deep Learning (DL) algorithms like LSTM (Long Short-Term Memory) used in recent studies with their corresponding performance scores. We also mention the methodology we have followed in obtaining our sources for both data and algorithms from open-source platforms such as Kaggle. Following this methodology, we have curated various sources for GDM datasets that have been used in studies and can be used for further development in AI. Throughout the article, we consistently focus on the lack of information and development of modern technology in women-focused areas. In addition, our article aims to bring awareness of using modern technology for prediction of female diseases, such as GDM.