Demographic factors, knowledge, attitude and perception and their association with nursing students' intention to use artificial intelligence (AI): a multicentre survey across 10 Arab countries.

Background: Artificial intelligence (AI) is becoming increasingly important in healthcare, with a significant impact on nursing practice. As future healthcare practitioners, nursing students must be prepared to incorporate AI technologies into their job. This study aimed to explore the associated factors with nursing students' intention to use AI.

Evaluating Pain Management Practices for Cancer Patients among Health Professionals: A Global Survey.

Cancer incidence in the world is predicted to increase in the next decade. While progress has been in diagnosis and treatment, much still remains to be done to improve cancer pain therapy, mainly in underserved communities in low-income countries. To determine knowledge, beliefs, and barriers regarding pain management in both high- and low-income countries (according to the WHO classification); and to learn about ways to improve the current state of affairs.

Validation study of the Arabic version of the Brief Fatigue Inventory (BFI-A).

Background: Fatigue is the most reported and most distressing symptom among patients with cancer. However, no questionnaire that measures fatigue and fatigue interference with life has been translated into Arabic.

Aims: This study aimed to translate and validate the Arabic version of the Brief Fatigue Inventory (BFI-A).

Predictors of uncertainty among postdischarge coronary artery bypass graft patients in Jordan.

Uncertainty impacts negatively on adaptation and disease outcomes. During recovery, coronary artery bypass graft (CABG) patients experience uncertainty, symptom distress, and learning needs. This study aimed to examine predictors associated with uncertainty among CABG patients.