AIMC Topic: Saudi Arabia
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A Comparison of Systematic, Targeted, and Combined Biopsy Using Machine Learning for Prediction of Prostate Cancer Risk: A Multi-Center Study.
Medical principles and practice : international journal of the Kuwait University, Health Science Centre
Jul 24, 2024
OBJECTIVES: The aims of the study were to construct a new prognostic prediction model for detecting prostate cancer (PCa) patients using machine-learning (ML) techniques and to compare those models across systematic and target biopsy detection techni...
Awareness and Perceptions of ChatGPT Among Academics and Research Professionals in Riyadh, Saudi Arabia: Implications for Responsible AI Use.
Medical science monitor : international medical journal of experimental and clinical research
Jul 8, 2024
BACKGROUND Chat Generative Pre-Trained (ChatGPT) Transformer was created by OpenAI and has a powerful tool used in research. This study aimed to assess the awareness and perceptions of ChatGPT among researchers and academicians at King Saud Universit...
Optimizing Nursing Productivity: Exploring the Role of Artificial Intelligence, Technology Integration, Competencies, and Leadership.
Journal of nursing management
Jun 26, 2024
BACKGROUND: In the rapidly evolving healthcare management landscape, technology integration and artificial intelligence utilization play pivotal roles in shaping employee productivity. This research investigates these dynamics within Riyadh Province,...
Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution management.
Environmental science and pollution research international
Jun 17, 2024
In Saudi Arabia, water pollution and drinking water scarcity pose a major challenge and jeopardise the achievement of sustainable development goals. The urgent need for rapid and accurate monitoring and assessment of water quality requires sophistica...
Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model.
Sensors (Basel, Switzerland)
Jun 6, 2024
Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in a large pro...
Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.
Medicina (Kaunas, Lithuania)
Jun 4, 2024
The healthcare system in Saudi Arabia is growing rapidly with the utilization of advanced technologies. Therefore, this study aimed to assess the Saudi public perceptions and opinions towards artificial intelligence (AI) in health care. This cross-...
Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application.
Sensors (Basel, Switzerland)
May 14, 2024
Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing peopl...
Navigating the ethical landscape of artificial intelligence in radiography: a cross-sectional study of radiographers' perspectives.
BMC medical ethics
May 11, 2024
BACKGROUND: The integration of artificial intelligence (AI) in radiography presents transformative opportunities for diagnostic imaging and introduces complex ethical considerations. The aim of this cross-sectional study was to explore radiographers'...
The Saudi Community View of the Use of Artificial Intelligence in Health Care.
Annals of African medicine
May 8, 2024
OBJECTIVES: Artificial intelligence (AI) holds the promise to revolutionize the field of medicine and enhance the well-being of countless patients. Its capabilities span various areas, including disease prevention, accurate diagnosis, and the develop...
Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students.
BMC medical education
May 7, 2024
BACKGROUND: Implementing digital transformation and artificial intelligence (AI) in education and practice necessitates understanding nursing students' attitudes and behaviors as end-users toward current and future digital and AI applications.
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