Results 211 to 220 of about 19,302 (259)

A Chinese Expert Consensus on the Artificial Intelligence Proficiency of Medical Students: Competencies and the Multi-Modal Assessment. [PDF]

Health Care Sci
Gong M, Li J, Ma Y, Jin B, Chen W, Hou Y, Hong L, Lai T, Zhang B, Wu G, Zeng Z.   +10 more
europepmc   +1 more source

Digital Health Solutions for Type 2 Diabetes and Prediabetes: Systematic Review of Engagement Barriers, Facilitators, and Outcomes. [PDF]

JMIR Diabetes
Thanthrige A, Wickramasinghe N.
europepmc   +1 more source

Acceptance of AI-based tools in consumer financial decision-making: An application of the extended technology acceptance model. [PDF]

PLoS One
Szopiński T, Buszko M, Porada-Rochoń M.   +2 more
europepmc   +1 more source

Artificial Intelligence for Medicines Information: Scoping Review of Clinical Applications and Digital Health Inequalities.

J Med Internet Res
Al-Arkee S, Falade J, Paudyal V.
europepmc   +1 more source

AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors.

JMIR Med Educ
Li C, Tsuei SH, Wu H.
europepmc   +1 more source

Questionnaires on Perceptions of Artificial Intelligence in Health Care Among Health Care Students: Cross-Cultural Translation Into French and Linguistic Validation.

JMIR Med Educ
Kotzki S, Massonnet Turner C, Vuillerme N.   +2 more
europepmc   +1 more source

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Artificial Intelligence, AI literacy, Digital literacy, AI literacy scale

Öğretim Teknolojisi ve Hayat Boyu Öğrenme Dergisi - Instructional Technology and Lifelong Learning, 2023
The purpose of this research is to adapt the Artificial Intelligence Literacy Scale (AILS) developed by Wang et al. (2022) into Turkish and study its validity and reliability. The scale aims to measure the artificial intelligence literacy levels of non-expert adults.
Celalettin ÇELEBİ, Fatih YILMAZ, Uğur DEMİR, Ferhat KARAKUŞ   +3 more
openaire   +1 more source