The current study aimed to review the role of artificial intelligence (AI) in improving nursing performance in light of opportunities and challenges. It addressed aspects of AI interventions in nursing performance, including enhancing diagnostic and care efficiency, developing personalized care and remote monitoring, accelerating diagnoses and improving the accuracy of results, improving administrative efficiency and communication, educating and training nurses using AI, and supporting decision-making. The role of AI in improving nursing performance was also addressed through its use in healthcare, assisting nurses in making clinical decisions, improving communication between patients and nurses, and AI in healthcare robots: challenges and opportunities in integrating AI into nursing, the future and expected improvements, enhancing personalized care, improving work efficiency, lack of technical knowledge among nurses, and concerns about privacy and security.

   The study also addressed the functions of artificial intelligence (AI) in nursing care, including disease diagnosis, treatment personalization, drug discovery and development, predictive analytics, robot-assisted surgery, virtual health assistants and chatbots, administrative workflow assistance, clinical trial research, remote monitoring and wearable devices, radiology and pathology, mental health, ethical and privacy considerations, and learning. Continuous improvement, interoperability and data integration, 24/7 patient engagement, personalized patient interaction, efficient appointment scheduling, symptom screening and initial diagnosis, medication management and adherence, reducing workload for healthcare professionals, data collection and analysis, improving access to healthcare information, cost efficiency, mental health support, enhancing patient satisfaction and loyalty, language and accessibility, Yellow.ai automation, and final thoughts.

   The role of AI in improving nursing performance was highlighted by shedding light on the role of AI and its applications in healthcare, improving nursing performance, improving medical diagnosis accuracy, and improving nursing performance by: improving diagnostic accuracy, improving patient follow-up, improving patient communication using smart robots, improving patient interaction, enhancing clinical decision-making by helping determine treatment plans, and improving nursing work efficiency.

    Challenges facing the use of AI in nursing were reviewed by assisting in clinical decision-making, improving communication between nurses and patients using AI using smart robots in nursing care, improving healthcare quality, accelerating patient response, and personalizing healthcare, technical challenges, privacy concerns, and the future landscape. A proposed program was also proposed. Artificial intelligence (AI) in improving nursing performance is represented in the first phase: medical data analysis. The second phase: developing a smart nursing system to monitor health conditions. The third phase: training nurses to use the smart nursing system to enhance medical diagnosis. The fourth phase: evaluating the effectiveness of the smart nursing system. The fifth phase: improving the efficiency of the smart nursing system by developing nursing training skills. The sixth phase: predicting clinical developments.

Keywords: Artificial Intelligence - Nursing Performance - Opportunities and Challenges.