Artificial intelligence (AI) has rapidly become a transformative force in health care, enhancing diagnostic accuracy, treatment planning, patient monitoring, and operational efficiency. This article explores advanced and emerging AI techniques-such as deep learning, reinforcement learning, natural language processing, and federated learning-and evaluates their applications, benefits, and ethical challenges. Through a systematic review of recent literature, we identify current trends, limitations, and future research directions. Findings indicate that AI not only improves clinical outcomes and reduces costs but also poses significant concerns related to data privacy, bias, and integration in clinical workflows. Recommendations are offered to maximize clinical benefits while addressing associated risks.
Maternal mortality and pregnancy-related problems continue to be significant public health issues, especially in low- and middle-income nations where access to appropriate prenatal care is frequently lacking. Rapid advancements in information and communication technologies have c…
Artificial Intelligence (AI) advancements are driving a massive, global investment boom in infrastructure such as data centers, semiconductors, and specialized software which is significantly contributing to GDP growth unlike the task-based model of automation that has been appli…
Artificial Intelligence (AI) is swiftly reshaping the relationship among technology and society, raising profound moral, cultural, and epistemological questions. Beyond its monetary and business implications, AI is more and more influencing how knowledge is produced, interpreted,…
EL-RAKHAWI SOVEREIGN JURISPRUDENCE OF ARTIFICIAL INTELLIGENCE LIABILITY A Comprehensive Architecture for Criminal and Civil Responsibility in the Age of Autonomous Systems, Embodied Robotics, and Artificial General Intellig
## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…