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There is no effective vaccine is available against HEV, mass awareness and preventive measures are important to the related.

Context: Artificial intelligence is evolving and will transform health care. Given the potency of this technology for patient care and its effect on health care providers, it is fundamental for nurses to have an essential comprehension of artificial intelligence concepts. Aim: To evaluate the nurses' anxiety level toward partnering with artificial intelligence in providing nursing care, pre&post training session. Methods: Quasi-experimental (pretest-posttest) research design was utilized to conduct the study at the Specialized Medical Hospital in different units (Cardiac, Diabetic, and Hepatic) and critical Care Units (CCUs) (Neurological, Convalescence, and Anesthetic ICUs) of Mansoura University Hospital. All available nurses (n=150) who working in the previously mentioned settings, were invited to participate in the study. Two tools were used for data collection; Nurses' demographic characteristics data and the artificial intelligence anxiety scale. Results: 28.5% of the studied nurses in medical units had a severe anxiety level, and 43.7% of the nurses in critical units had a moderate anxiety level pre-implementation of training session's activities related to artificial intelligence, compared to 50.8% and 37.9% of the nurses in medical and critical units, respectively who had minimal anxiety levels post-implementation of training session's activities related to artificial intelligence. Conclusion: there was a statistically significant difference between the studied nurses in medical units pre and post-implementation of training session's activities related to (AI) (P= 0.044*). Also, a high statistically significant difference between the nurses in critical units pre and post-implementation of training session's activities related to (AI) (P= 0.000**). The study recommended providing a continuous training sessions for nursing staff toward dealing with artificial intelligence technology that can improve quality of care, enhance patients' outcomes, and reduce their level of anxiety.

Background: Pulmonary embolism is the main cause of mortalities in lower limb Deep Venous Thrombosis (DVT). It leads to yearly 50-200 thousand deaths in the United States (US

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