System And Method For Automated Image Guided Robotic Intraocular Surgery
Automated surgical lens extraction only requires review and adjustment from surgeon Real-time monitoring allows for assessment of lens removal Robot-guided motion prevents inadvertent contact of tool to new artificial lens Optical tomography is a non-contact and precise 3D imaging tool
Automated cataract removal
Professor Tsao and coworkers have developed a robotic surgical platform that incorporates optical tomography for autonomous cataract removal. Highly accurate 3D models are generated and used to automate cataract lens removal, with real-time monitoring and potential intervention by a supervising surgeon. Evaluation of progress can be achieved at regular intervals to ensure complete cataract removal and robot-guided motion prevents inadvertent contact of the tool tip to the artificial lens capsule, minimizing the most common surgical complications.
State Of Development Model has been developed and demonstrated using porcine eyes. Background More than 3.5 million cataract surgeries are performed every year in the United States, with the market estimated at over $7 billion in 2016. While many surgical steps of cataract surgery have been partially or fully automated, the critical step of cataract lens extraction remains a manual operation. This step is also associated with the most common complications of cataract surgery, which are incomplete lens removal and a tear in the capsule holding the new artificial lens. Automation of lens removal using visualization tools and allowing for real-time surgeon feedback would decrease these complications and significantly improve cataract outcomes. Related Materials J.T. Wilson, T.-C. Tsao, J.-P. Hubschman, and S. Schwartz, Evaluating remote centers of motion for minimally invasive surgical robots by computer vision, IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2010. Additional Technologies by these Inventors Tech ID/UC Case 29436/2018-214-0 Related Cases 2018-214-0
J. T. Wilson, M. J. Gerber, S. W. Prince, C.-W. Chen, S. D. Schwartz, J.-P. Hubschman, and T.-C. Tsao, Intraocular robotic interventional surgical system (IRISS): Mechanical design, evaluation, and master-slave manipulation, Int. J. Med. Robot. Comput. Assist. Surg. 2017.
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