Artificial intelligence meets medical robotics

• 成果类型: Editorial Material
• 署名作者: Yip, Michael; Salcudean, Septimiu; Goldberg, Ken; Althoefer, Kaspar; Menciassi, Arianna; Opfermann, Justin D. D.; Krieger, Axel; Swaminathan, Krithika; Walsh, Conor J. J.; Huang, He (Helen); Lee, I-Chieh
• 署名单位: University of California System; University of California San Diego; University of British Columbia; University of California System; University of California Berkeley; University of California System; University of California Berkeley; University of London; Queen Mary University London; Scuola Superiore Sant'Anna; Johns Hopkins University; Johns Hopkins University; Johns Hopkins University; Harvard University; Harvard University; North Carolina State University; University of North Carolina; University of North Carolina Chapel Hill
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-11891
• DOI: 10.1126/science.adj3312
• 发表日期: 2023-07-14
• 页码: 141-146
• 关键词: soft robotics; walking; surgery; vision

摘要

Artificial intelligence (AI) applications in medical robots are bringing a new era to medicine. Advanced medical robots can perform diagnostic and surgical procedures, aid rehabilitation, and provide symbiotic prosthetics to replace limbs. The technology used in these devices, including computer vision, medical image analysis, haptics, navigation, precise manipulation, and machine learning (ML) , could allow autonomous robots to carry out diagnostic imaging, remote surgery, surgical subtasks, or even entire surgical procedures. Moreover, AI in rehabilitation devices and advanced prosthetics can provide individualized support, as well as improved functionality and mobility (see the figure). The combination of extraordinary advances in robotics, medicine, materials science, and computing could bring safer, more efficient, and more widely available patient care in the future. -Gemma K. Alderton