Background: Cardiovascular diseases are the leading cause of mortality globally. Myocardial infarction (MI), a major type of cardiovascular disease, presents long-term challenges for patients. Recognizing patients’ perceived health needs and the factors that influence them is crucial for providing comprehensive care and improving outcomes. Aim: This paper explores the perceived health needs, levels of depression, and social support among MI patients, as well as investigates the correlations between these factors. Methods: A cross-sectional study was conducted at King Salman Specialist Hospital from March to June 2024, enrolling 244 MI patients through convenience sampling. Data collection was performed using the following three validated questionnaires: the Cardiac Patient Learning Needs Inventory (CPLNI) to assess the learning needs of MI patients, the Patient Health Questionnaire-9 (PHQ-9) to evaluate depression levels, and the Oslo Social Support Scale (OSSS-3) to measure social support. Statistical analysis was carried out using IBM SPSS Statistics, Version 27. Results: Patients aged 40 years or older and those who were employed exhibited greater learning needs (p < 0.001). Female patients were more depressed than males (p = 0.008). Higher social support was reported by the female patients, those with a family history of MI, and those who were employed (p = 0.002, 0.002, and 0.003, respectively). The total mean score for perceived learning needs was 3.72, with the highest needs in “other pertinent information”, “medication information”, and “anatomy and physiology”. Depression was indicated in 45.1% of MI patients, with significantly higher depression levels in female than in male patients. Additionally, a significant positive correlation was found between social support and perceived learning needs (r = 0.205, p = 0.001), as well as a negative correlation between social support and depression (r = −0.441, p < 0.001). Conclusions: Addressing both the physical and psychological needs is essential for MI patients. Comprehensive educational programs and mental health support services are necessary for improving outcomes. Personalized patient education and routine depression screenings should be integrated into post-MI care. Future research should examine longitudinal changes in learning needs and mental health status.

Background/Objectives: Artificial intelligence (AI) is increasingly used in healthcare to support clinical decision-making, patient monitoring, and administrative tasks. Nurses are expected to work with these technologies. However, the evidence suggests that their knowledge and preparedness remain limited. As future healthcare providers, nursing students must be prepared to integrate AI into their practice. This study aimed to assess nursing students’ knowledge, attitudes, perceived benefits and risks, barriers, professional impact, and preparedness toward AI in healthcare. Methods: This cross-sectional descriptive study was conducted between April and July 2024 at the College of Nursing, University of Hail, Saudi Arabia. A convenience sample of 320 undergraduate nursing students completed an online structured questionnaire that assessed their demographics, knowledge, attitudes, perceived barriers, benefits, risks, professional impact, and preparedness. Data were analyzed using IBM SPSS version 27 with descriptive statistics. Inferential analyses, including independent t-tests and one-way ANOVA, were performed to examine differences between groups. Pearson’s correlation was used to identify correlations between the study variables. Statistical significance was set at p < 0.05. Results: Most students (79.7%) had poor AI knowledge, whereas 52.5% reported positive attitudes. Older students (≥24 years) and internship students showed significantly more positive attitudes (p < 0.001). Knowledge was weakly correlated with attitudes (r = 0.147), benefits (r = 0.222), and risks (r = 0.152). Attitudes were weakly positively correlated with benefits (r = 0.243) and negatively correlated with barriers (r = −0.219). Conclusions: Despite their positive attitudes, nursing students showed limited knowledge and preparedness. Integrating AI education and practical training into nursing curricula is therefore essential. These findings should be interpreted cautiously given the cross-sectional design, single-institution sampling, and reliance on self-reported measures, which may limit generalizability.

Background: Heart failure (HF) is a significant health burden associated with severe morbidity, mortality, and hospitalization costs and it poses challenges not only to individuals and their families but also to societal and governmental resources. In fact, nurses are indispensable in managing HF patients. The success of patient self-care preparation through education relies not only on the patient’s abilities and attitude but also on the nurse’s proficiency in these tasks and their knowledge and attitudes can significantly impact patient outcomes. This study aimed to evaluate nurses’ knowledge and attitudes regarding HF management in Saudi Arabia. Methods: A cross-sectional survey was conducted among a convenience sample of 218 nurses employed at King Fahad Specialist Hospital in Tabuk, Saudi Arabia. Data were collected through an online questionnaire with two sections: one assessing nurses’ knowledge of HF management and the other evaluating their attitudes toward it. The data collection took place between March and June 2024. Results: Overall, 55% of nurses showed inadequate knowledge regarding HF management. Further analysis revealed that 46.8% of nurses had a negative attitude towards HF management. Multivariate analysis revealed that graduate nurses (bachelor or diploma) had significantly 4.48 times higher risk to produce inadequate knowledge of HF management in comparison to post-graduate nurses (OR = 4.48; CI 95% [2.18–9.21], p < 0.003). Regarding attitudes, nurses who did not receive previous training on HF management had a probability of 2.31 times to produce s negative attitude in comparison to nurses who received training (OR = 2.31; CI 95% [1.33–3.99], p = 0.003). Conclusions: The study underscores the need for educational programs, continuous professional development, promotion of positive attitudes, and fostering interdisciplinary collaboration to improve HF management. Future research should delve into the long-term impact of interventions, explore organizational factors, and investigate the relationship between knowledge, attitudes, and clinical practices.