This study reviews the advancements in human-centered artificial intelligence (AI) applications in healthcare. It focuses on AI’s impact on diagnostics, decision-making, and personalized treatment. The paper explores the integration of AI-driven solutions in improving healthcare systems, aiming for better patient care and operational efficiency.

Ravi Kumar Sharma, Jessica Maria Jackson, Wei Ming Zhang, Elena Sofia Giordano, Yan Hua Lin

This research explores how artificial intelligence (AI) enhances human-computer interaction in smart environments. Focusing on personalized user interfaces, adaptive systems, and AI-driven devices, the paper analyzes the potential for improving user experience, accessibility, and system performance in smart homes, offices, and healthcare facilities.

Elena Maria Rossi, Taro Hiroshi Nakamura, Jonathan Patrick Lee, Wu Qian, Isha Mehra

This paper discusses AI-based personalized healthcare systems that use real-time data analytics to improve treatment plans. By analyzing large-scale patient data, machine learning algorithms identify patterns and make predictions, enabling tailored treatment options, optimizing patient outcomes, and reducing the costs of healthcare services.

Michael David Fields, Maria Sofia Guzman, Cheng Yu Zhang, Isabella Claire Roberts, Priya Nair

This study explores the role of artificial intelligence in autonomous vehicles, emphasizing a human-centered approach to decision-making. It investigates the impact of AI in vehicle navigation, safety protocols, and user interaction systems, ensuring that AI’s decisions align with human needs and ethical standards in transportation.

Giovanni Paolo Rinaldi, Adam Julian Thornton, Wei Jun Tan, Laura Isabelle Fisher, Lin Li

This research focuses on integrating human-centered design principles into AI-powered robotics for industrial applications. The study examines how adaptive systems can enhance operational efficiency, user engagement, and safety, while considering human factors to ensure effective and intuitive interactions with robotic systems in manufacturing environments.

Renee Jean Martinez, Wei Yi Chen, Julia Carolina Müller, Hiroshi Takeshi Yamamoto, Samir Ali Khan