ArticleIEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society2020
Optical Coherence Tomography-Guided Robotic Ophthalmic Microsurgery via Reinforcement Learning from Demonstration.
Article in IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed, 72 citations in OpenAlex.
- Artificial intelligence-enhanced microsurgical training: a systematic review.NPJ digital medicine · 2026Article
- Overcoming Opacity: The Role of Intraoperative OCT in Complex Corneal and Anterior Segment Surgery.Bioengineering (Basel, Switzerland) · 2025Review
- Will your next surgeon be a robot? Autonomy and AI in robotic surgery.Science robotics · 2025Review
- A novel robot-assisted subretinal injection system: preliminary validation in ex vivo porcine eyes.Journal of robotic surgery · 2025Article
- Fourier Lightfield Multiview Stereoscope for Large Field-of-View 3D Imaging in Microsurgical Settings.Advanced photonics nexus · 2025Article
- An intuitive guidewire control mechanism for robotic intervention.International journal of computer assisted radiology and surgery · 2025Article
- Robotics and optical coherence tomography: current works and future perspectives [Invited].Biomedical optics express · 2025Review
- Artificial Intelligence Applications in Ophthalmology.JMA journal · 2025Review
- Advances and prospects of multi-modal ophthalmic artificial intelligence based on deep learning: a review.Eye and vision (London, England) · 2024Review
- Evaluation of an Active Disturbance Rejection Controller for Ophthalmic Robots with Piezo-Driven Injector.Micromachines · 2024Article
- Visualization of Cataract Surgery Steps With 4D Microscope-Integrated Swept-Source Optical Coherence Tomography in Ex Vivo Porcine Eyes.Translational vision science & technology · 2024Article
- Automatic and real-time tissue sensing for autonomous intestinal anastomosis using hybrid MLP-DC-CNN classifier-based optical coherence tomography.Biomedical optics express · 2024Article
- The LMIT: Light-mediated minimally-invasive theranostics in oncology.Theranostics · 2024Review
- Microsurgery Robots: Applications, Design, and Development.Sensors (Basel, Switzerland) · 2023Review
- Using the language of surgery to enhance ophthalmology surgical education.Surgery open science · 2023Review
- Simultaneous Online Registration-Independent Stiffness Identification and Tip Localization of Surgical Instruments in Robot-assisted Eye Surgery.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2023Article
- Artificial Intelligence in Ophthalmic Surgery: Current Applications and Expectations.Clinical ophthalmology (Auckland, N.Z.) · 2023Review
- Optical coherence tomography refraction and optical path length correction for image-guided corneal surgery.Biomedical optics express · 2022Article
- Automatic evaluation of graft orientation during Descemet membrane endothelial keratoplasty using intraoperative OCT.Biomedical optics express · 2022Article
- Data-Driven Modelling and Control for Robot Needle Insertion in Deep Anterior Lamellar Keratoplasty.IEEE robotics and automation letters · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Ophthalmic microsurgery is technically difficult because the scale of required surgical tool manipulations challenge the limits of the surgeon's visual acuity, sensory perception, and physical dexterity. Intraoperative optical coherence tomography (OCT) imaging with micrometer-scale resolution is increasingly being used to monitor and provide enhanced real-time visualization of ophthalmic surgical maneuvers, but surgeons still face physical limitations when manipulating instruments inside the eye. Autonomously controlled robots are one avenue for overcoming these physical limitations. We demonstrate the feasibility of using learning from demonstration and reinforcement learning with an industrial robot to perform OCT-guided corneal needle insertions in an ex vivo model of deep anterior lamellar keratoplasty (DALK) surgery. Our reinforcement learning agent trained on ex vivo human corneas, then outperformed surgical fellows in reaching a target needle insertion depth in mock corneal surgery trials. This work shows the combination of learning from demonstration and reinforcement learning is a viable option for performing OCT guided robotic ophthalmic surgery.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.