Journal of Multidisciplinary Healthcare

Adaptive Intelligence with Medical Imaging in Embodied AI and Autonomous Control Systems

The rapid evolution of embodied artificial intelligence (Embodied AI), which is defined as the interaction and learning of intelligent systems from physical environments through somatosensory experiences, has opened unprecedented opportunities for adaptive control systems. By integrating perception, decision-making, and real-time action, these systems hold transformative potential across domains ranging from robotics to healthcare. However, the synergy between embodied intelligence and autonomous control remains under explored, particularly in safety-critical applications such as medical imaging and intervention. This Thematic Series aims to address this gap by fostering interdisciplinary research that merges adaptive signal processing, embodied learning, and autonomous control frameworks, with a special emphasis on innovations enhancing medical imaging technologies and their clinical translation.