Authors: Hridayjyoti Deka, Dikshita Medhi
Abstract: Women's healthcare necessitates comprehensive approaches to address unique and ubiquitous health related issues of women, which include nutritional, reproductive, mental, and chronic diseases. On the other hand, rural healthcare must overcome tangible and intangible barriers, including geographic isolation, inadequate physical and digital infrastructure, sociocultural resistance, a shortage of healthcare professionals, and policy paralysis. Artificial Intelligence and Machine Learning have revolutionized the healthcare paradigm through developments such as deep learning enabled medical imaging and diagnostics, predictive analytics, drug discovery, real time monitoring of disease surveillance, precision and personalised medicines, robotic surgery, robotic neurorehabilitation, etc. However, the benefits of these breakthroughs are mostly being received by the advanced societies; the greater rural masses still expect miracles of the trickle down effect. The healthcare issues and challenges pertaining to women are peculiar and need special focus from researchers, particularly in low resource settings like rural India. Nevertheless, the researchers have long started exploring Artificial Intelligence and Machine Learning based solutions for problems related to women’s healthcare and rural healthcare. In this article, focusing on the challenges and approaches, we review the state of the art of Artificial Intelligence and Machine Learning in women’s healthcare that carries significant potential for implementation in the rural healthcare system in India
DOI: http://doi.org/10.5281/zenodo.17617845
