autonomous passenger ships, the need for effective and timely medical care for those far from land-based medical facilities is increasingly evident. The lack of specialized medical staff, limited medical knowledge among the crew, and inadequate access to advanced equipment put the health of passengers and seafarers at risk. With the rapid advancement of new technologies in the maritime industry, it is expected that autonomous passenger ships will be equipped with intelligent robotic systems in the near future to provide advanced medical and surgical services. This study, using a library study method and reviewing reliable sources, has identified key factors in the design and development of intelligent medical robots. The research method is applied in terms of purpose and mixed exploratory (qualitative-quantitative) in terms of nature. The main objective of this study is to investigate and determine the relationships between variables affecting the application of artificial intelligence and robotics as a solution for providing medical services on autonomous ships. The findings showed that all three research hypotheses were confirmed: (1) there is a significant relationship between artificial intelligence and smart robots in autonomous ships, (2) robotics science along with machine learning is related to smart robots in these ships, and (3) deep learning has a significant impact on the performance of smart robots in autonomous vessels. These results emphasize the high potential of new technologies in improving medical services in maritime environments.