AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Education, Nursing, Baccalaureate

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Integrating Telepresence Robots Into Nursing Simulation.

Nurse educator
This article provides an overview of the use of telepresence robots in clinical practice and describes an evaluation of an educational project in which distance-based nurse practitioner students used telepresence robots in clinical simulations with o...

Midwifery students' understanding and knowledge of normal birth before 'delivery' of curriculum.

Midwifery
OBJECTIVE: To generate new knowledge that describes and explains the views and understanding, regarding midwifery and normal birth, that newly enrolled midwifery students hold at the commencement of their midwifery education.

Bloom's Classification of Educational Objectives Based on Deep Learning Theory Teaching Design of Nursing Specialty.

Computational intelligence and neuroscience
Through the effective integration of various teaching resources, carry out the teaching design of "basic nursing technology" for the nursing specialty in the information environment based on Bloom's education objective classification. Select 200 nurs...

Generative AI Backstories for Simulation Preparation.

Nurse educator
BACKGROUND: Developing engaging presimulation learning materials that provide contextualized patient information is needed to best prepare students for nursing simulation. One emerging strategy that can be used by educators to create visual images fo...

Tool or Tyrant: Guiding and Guarding Generative Artificial Intelligence Use in Nursing Education.

Creative nursing
As artificial intelligence (AI) continues to evolve rapidly, its integration into nursing education is inevitable. This article presents a narrative exploring the implementation of generative AI in nursing education and offers a guide for its strateg...

Effects of midwifery and nursing students' readiness about medical Artificial intelligence on Artificial intelligence anxiety.

Nurse education in practice
BACKGROUND: Artificial intelligence technologies are one of the most important technologies of today. Developments in artificial intelligence technologies have widespread and increased the use of artificial intelligence in many areas. The field of he...

Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.

BMC medical education
BACKGROUND: Implementing digital transformation and artificial intelligence (AI) in education and practice necessitates understanding nursing students' attitudes and behaviors as end-users toward current and future digital and AI applications.

Development of an Artificial Intelligence Teaching Assistant System for Undergraduate Nursing Students: A Field Testing Study.

Computers, informatics, nursing : CIN
Keeping students engaged and motivated during online or class discussion may be challenging. Artificial intelligence has potential to facilitate active learning by enhancing student engagement, motivation, and learning outcomes. The purpose of this s...