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The Faculty of Nursing at the Jordan University of Science and Technology conducted an Open Day event entitled: “Artificial Intelligence: Our Partner in Health Assessment.”
30 Dec 2025
The Faculty of Nursing at the Jordan University of Science and Technology conducted an Open Day event entitled: “Artificial Intelligence: Our Partner in Health Assessment.”

The event was held on Sunday, 28th Dec 2025, from 10:00 a.m. to 1:00 p.m. As one of the requirements of the Advanced Health Assessment course (NURS 711). It was conducted by master's program students enrolled in the NURS 711 course and under the supervision of Prof. Audai Hayajneh.

The event aimed to highlight the growing role of artificial intelligence (AI) in advancing health assessment practices, improving diagnostic accuracy, and supporting scientific evidence-based clinical decision-making, in line with recent developments in healthcare. This event targeted all university students from various faculties and disciplines.

The Open Day included several scientific topics related to the AI in the health assessment presented by the course students. They exhibited various applications of the AI in health assessment, including clinical data analysis, health risk prediction, and enhancing the quality of nursing care.

 The presentations were supported by recent evidence based research published in certified academic databases. The event also provided an opportunity for discussion and exchange of AI related ideas between students and faculty members.

The Dean of the Faculty of Nursing, Prof. Nihaya Al-Sheyab, emphasized on conducting such events as academic commitment to integrate modern technologies into academic curricula and develop critical thinking and scientific research skills among post-graduate students.

This contributes in preparing qualified nurses who are skilled and knowledgeable of AI related applications in the healthcare sector.

At the conclusion of the event, participants expressed their appreciation for the significance of such academic events, which effectively integrate theoretical knowledge with practical application and contribute to an innovative academic environment in health assessment through the use of AI tools.