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The application of robots in the medical field is rapidly advancing towards greater precision and intelligence, significantly enhancing the level of diagnosis and treatment as well as service quality.
In surgical assistance, 5G remote surgical robots have successfully achieved cross-regional collaborative operations. For example, hospitals in Zhengzhou, Shangqiu, and Hami collaborated to complete single-port surgeries, while a team from Fudan University and a hospital in Xinjiang completed a non-invasive head and neck surgery over a distance of 5000 kilometers. Domestic single-port snake-arm robotic systems have been applied in several hospitals in Beijing and Shanghai for complex procedures, including pancreaticoduodenectomy and large-volume liver resection. Multi-port and navigation surgical robots are also conducting precise operations in various departments such as cardiology, urology, and thoracic surgery.
In rehabilitation therapy, AI robots are driving personalized development. For instance, rehabilitation systems based on deep learning can dynamically analyze the movement patterns of stroke patients and adjust training plans in real-time to enhance recovery outcomes.
In patient care, flexible tactile and multimodal interaction technologies enable robots to provide safer daily care for the elderly and disabled.
The forms and functions of diagnostic and therapeutic robots are continuously innovating. Intelligent decoction systems standardize the preparation process of traditional Chinese medicine through robots and AI; micro-robotic swarms can work collaboratively in complex human environments, making autonomous decisions to perform precise minimally invasive surgeries.
Additionally, medication delivery robots have reduced the time for emergency medication delivery by approximately 40%, and closed-loop handling robots significantly lower the risk of healthcare personnel’s exposure during the disposal of infectious medical waste.
These innovative applications not only demonstrate the wide applicability and precision of robots in the medical field but also drive the entire industry towards digitalization, intelligence, and humanization.
Content sourced from online compilation, images created by AI, for learning reference only, no commercial use. (Text/Robot Watch)
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