There have been questions raised concerning bias in the data, algorithms, and recommendations
of these systems as machine learning finds its way into more and more healthcare applications. Put simply,
not everyone will experience an improvement in healthcare, even if it does for some. Worldwide, including
in Bangladesh, hypertension, also known as high blood pressure, is a serious public health issue. With the
increasing prevalence of hypertension and its associated health risks, there is a growing need for innovative
and effective approaches to its management and treatment. This study provides an overview of new
technologies with AI and their prospective impact on hypertension treatment in the context of Bangladesh.
Secondary data was used to assist this work in part. The outcomes of the investigation were analysed using
the descriptive review approach. Using the databases PubMed, Google Scholar, ResearchGate, and IEEE
Xplore, searches were done for peer-reviewed literature, clinical trials, guidelines, and research articles
on this topic. Furthermore, regional publications that are recognised and available via Bangladesh. Results
from the study were examined using descriptive or univariate methods. Using new technology and receiving
treatment had their blood pressure under control. The study’s findings also indicated that older people,
women, and families with higher income levels had greater prevalence rates of hypertension and lack of
knowledge. This brief serves as a starting point for further research and policy development to exploit the
potential impact of new technologies on hypertension treatment in Bangladesh.