Leveraging AI for Creating Personalized Training Modules: Health Sector

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Abstract

The demand for continuous professional development and
training is paramount in the rapidly evolving healthcare landscape.
Traditional training methods often lack personalization, upskilling,
and challenge, catering to individual learning styles and preferences.
However, the emergence of Artificial Intelligence (AI) presents a
transformative opportunity to revolutionize training methodologies
in the health sector. This research paper emphasizes studying the
existing training method followed and its challenges. It also explores
identifying the training needs in the health sector and explores the
various AI technologies to develop personalized training, its impact,
and potential challenges for the same. The paper focuses on the
familiarity of AI technologies used for customized training, how
they address individual training needs in the health sector, and their
effectiveness. Many ethical questions need to be addressed in light
of the growing application of artificial intelligence (AI) in healthcare.
AI must be humanized in medical education to guarantee that the
development and use of AI’s algorithms adhere to moral standards
and advance fair healthcare results for patients and medical
practitioner trainees.

Keywords

Personalized training Artificial Intelligence Healthcare

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