2021
DOI: 10.1002/rcs.2248
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Robotic posterior capsule polishing by optical coherence tomography image guidance

Abstract: Background In cataract surgery, polishing of the posterior capsule (PC) can lead to improved surgical outcomes but is currently avoided due to its high‐risk nature. This work developed a robotic system capable of performing PC polishing on ex vivo pig eyes using optical coherence tomography (OCT) guidance. Methods The lenses of five ex vivo pig eyes were extracted and a thin layer of glue deposited onto the PC. Transpupillary OCT scans of the anterior segment were used to generate a PC‐polishing trajectory. Du… Show more

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Cited by 6 publications
(5 citation statements)
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References 25 publications
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“…Shorter pulse durations could enable higher peak power with less energy per pulse, and a multispot laser treatment could shorten the treatment time. Robotization of the steps of lens aspiration is in its infancy in cataract surgery (98,99), but this technology could be integrated with FLACS to create fully automated cataract extraction platforms in the future.…”
Section: Discussion and Perspectivesmentioning
confidence: 99%
“…Shorter pulse durations could enable higher peak power with less energy per pulse, and a multispot laser treatment could shorten the treatment time. Robotization of the steps of lens aspiration is in its infancy in cataract surgery (98,99), but this technology could be integrated with FLACS to create fully automated cataract extraction platforms in the future.…”
Section: Discussion and Perspectivesmentioning
confidence: 99%
“…In recent research, investigators have applied OCT imaging technology to the IRISS system and developed a series of OCT and camera image-guided semi-automation/automation schemes for intraocular surgery. These include semi-automated lens removal [55,258], posterior capsular polishing [85], identification and removal of residual lens fragments [228], and automated retinal vein cannulation [22]; these schemes have been validated using ex vivo porcine eyes or silicone phantoms.…”
Section: Irissmentioning
confidence: 99%
“…For example, incorporating machine learning techniques, MSR systems can identify and analyze patient status preoperatively, thus enabling automatic intraoperative targeting or providing patient-specific surgical recommendations to the surgeon [55]. In the intraoperative phase, the application of automation technology allows the MSR to automatically perform some of the surgical tasks based on a predefined surgical path or adjust the path in real-time based on sensor feedback, leading to improved surgical efficiency [85].…”
Section: Higher Level Of Autonomymentioning
confidence: 99%
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