AIMC Topic: Jordan
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Assessing ChatGPT adoption in Jordanian medical education: a UTAUT model approach.
BMC medical education
May 22, 2025
BACKGROUND: ChatGPT has shown significant promise in transforming medical education by streamlining research and improving teaching methods. However, its adoption in Middle Eastern medical education has remained underexplored. This study investigated...
Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing.
Parasites & vectors
Jan 29, 2025
BACKGROUND: Amebiasis represents a significant global health concern. This is especially evident in developing countries, where infections are more common. The primary diagnostic method in laboratories involves the microscopy of stool samples. Howeve...
Awareness and Attitude Toward Artificial Intelligence Among Medical Students and Pathology Trainees: Survey Study.
JMIR medical education
Jan 10, 2025
BACKGROUND: Artificial intelligence (AI) is set to shape the future of medical practice. The perspective and understanding of medical students are critical for guiding the development of educational curricula and training.
Predicting hypoglycemia in ICU patients: a machine learning approach.
Expert review of endocrinology & metabolism
Sep 16, 2024
BACKGROUND: The current study sets out to develop and validate a robust machine-learning model utilizing electronic health records (EHR) to forecast the risk of hypoglycemia among ICU patients in Jordan.
Machine Learning-Based Mortality Prediction in Chronic Kidney Disease among Heart Failure Patients: Insights and Outcomes from the Jordanian Heart Failure Registry.
Medicina (Kaunas, Lithuania)
May 19, 2024
Heart failure (HF) is a prevalent and debilitating condition that imposes a significant burden on healthcare systems and adversely affects the quality of life of patients worldwide. Comorbidities such as chronic kidney disease (CKD), arterial hypert...
Exploring knowledge, attitudes, and practices towards artificial intelligence among health professions' students in Jordan.
BMC medical informatics and decision making
Dec 14, 2023
INTRODUCTION: The integration of Artificial Intelligence (AI) in medical education and practice is a significant development. This study examined the Knowledge, Attitudes, and Practices (KAP) of health professions' students in Jordan concerning AI, p...
A Real-Time Electrical Load Forecasting in Jordan Using an Enhanced Evolutionary Feedforward Neural Network.
Sensors (Basel, Switzerland)
Sep 17, 2021
Power system planning and expansion start with forecasting the anticipated future load requirement. Load forecasting is essential for the engineering perspective and a financial perspective. It effectively plays a vital role in the conventional monop...
Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks.
BMC infectious diseases
May 14, 2019
BACKGROUND: Establishing epidemiological models and conducting predictions seems to be useful for the prevention and control of human brucellosis. Autoregressive integrated moving average (ARIMA) models can capture the long-term trends and the period...
Beyond purchase patterns: harnessing predictive analytics to anticipate unarticulated consumer needs.
Acta psychologica
Jul 1, 2025
As organizations transition toward data-driven strategies, the ability to anticipate unarticulated consumer needs has emerged as a critical frontier in strategic marketing. This study investigates how predictive analytics, when integrated with artifi...
The role of AI-enabled health systems in the Jordanian context: the case of digital contact tracing apps.
Journal of health organization and management
Jun 5, 2025
PURPOSE: Digital health or digital healthcare, is a broad, multidisciplinary concept that includes concepts from an intersection between technology and healthcare. Digital health applies digital transformation to the healthcare field, incorporating s...
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