International Journal of Advanced Multidisciplinary Research and Studies
Volume 6, Issue 3, 2026
A Study on the Challenges Faced by Clinical Engineers in the Use of AI-Based Mammography Devices in Mongolia
Author(s): Khosbayar Tsogoo, Enkhjargal Biziya, Natsagdorj Chuluun
Abstract:
Since 2020, Mongolia has begun developing phased policies and recommendations to implement artificial intelligence (AI) technology across education, healthcare, and business. In the health sector, international policy documents on the introduction of AI were developed by the World Health Organization (WHO) and the United Nations Educational, Scientific, and Cultural Organization (UNESCO) between 2019 and 2021, providing guidelines and recommendations for its use, application, and ethical standards. These policy documents emphasize that AI in healthcare should not replace doctors, but rather serve as a tool to support clinical decision-making in diagnosis and treatment, with the final decision always being made by the physician [1, 2]. After World War II, a group of people began working independently to create intelligent machines. In 1947, British mathematician Alan Turing presented his first research. He concluded that it was better to study AI through computer programming rather than by building machines. By the late 1950s, many people were studying AI, mostly based on computer programming [3].
Keywords: Artificial Intelligence, Machine Learning, Digital Mammography, Automatic Exposure Control
Pages: 412-420
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