AIMC Topic: Laser Coagulation

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Autonomous screening for laser photocoagulation in fundus images using deep learning.

The British journal of ophthalmology May 21, 2024
BACKGROUND: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Artificial intelligence (AI) with autonomous deep learning algorithms has been increasingly used in retinal image analysis, particularly for the screening of r...
Adult Male Middle Aged Deep Learning ROC Curve Area Under Curve Fundus Oculi Laser Coagulation Diabetic Retinopathy Algorithms Female Aged Humans
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Robot assisted Fetoscopic Laser Coagulation: Improvements in navigation, re-location and coagulation.

Artificial intelligence in medicine Nov 25, 2023
Fetoscopic Laser Coagulation (FLC) for Twin to Twin Transfusion Syndrome is a challenging intervention due to the working conditions: low quality images acquired from a 3 mm fetoscope inside a turbid liquid environment, local view of the placental su...
Female Exercise Robotics Placenta Humans Pregnancy Laser Coagulation Fetoscopes
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Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity.

Eye (London, England) Feb 1, 2023
Lasers Infant, Premature Gestational Age Angiography Infant, Newborn Deep Learning Treatment Outcome Retinopathy of Prematurity Laser Coagulation Humans Retrospective Studies
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Response to: 'Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity'.

Eye (London, England) Jan 21, 2023
Infant, Premature Gestational Age Angiography Retinopathy of Prematurity Laser Coagulation Infant, Newborn Deep Learning Treatment Outcome Lasers Humans Retrospective Studies
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Deep learning-based fetoscopic mosaicking for field-of-view expansion.

International journal of computer assisted radiology and surgery Aug 17, 2020
PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgical procedure used to treat twin-to-twin transfusion syndrome (TTTS), which involves localization and ablation of abnormal vascular connections on the placenta to regulate the bl...
Laser Coagulation Computer Simulation Pregnancy Female Humans Deep Learning Placenta Phantoms, Imaging Fetofetal Transfusion Fetoscopy
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Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy.

International journal of computer assisted radiology and surgery Apr 30, 2020
PURPOSE: Twin-to-twin transfusion syndrome (TTTS) is a placental defect occurring in monochorionic twin pregnancies. It is associated with high risks of fetal loss and perinatal death. Fetoscopic elective laser ablation (ELA) of placental anastomoses...
Placenta Humans Surgery, Computer-Assisted Motion Fetofetal Transfusion Female Neural Networks, Computer Laser Therapy Fetoscopy Computer Simulation Reproducibility of Results Laser Coagulation Pregnancy Deep Learning Robotics
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FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos.

International journal of computer assisted radiology and surgery Apr 29, 2020
PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgery for the treatment of twin-to-twin transfusion syndrome (TTTS). By using a lens/fibre-optic scope, inserted into the amniotic cavity, the abnormal placental vascular anastomose...
Humans Fetofetal Transfusion Fetoscopy Neural Networks, Computer Laser Coagulation Pregnancy Female
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Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

The British journal of ophthalmology Nov 19, 2019
AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spherical equivalent (SE) of patients with retinopathy of prematurity (ROP) from 3 to 12 years old after intravitreal injection (IVI) of anti-vascular endoth...
Child, Preschool Child Female Angiogenesis Inhibitors Humans Predictive Value of Tests Male Retinopathy of Prematurity Refraction, Ocular Neural Networks, Computer Retrospective Studies Bevacizumab Laser Coagulation Visual Acuity Vascular Endothelial Growth Factor A Intravitreal Injections Ranibizumab
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Deep-learned placental vessel segmentation for intraoperative video enhancement in fetoscopic surgery.

International journal of computer assisted radiology and surgery Nov 27, 2018
INTRODUCTION: Twin-to-twin transfusion syndrome (TTTS) is a potentially lethal condition that affects pregnancies in which twins share a single placenta. The definitive treatment for TTTS is fetoscopic laser photocoagulation, a procedure in which pla...
Vascular Surgical Procedures Fetofetal Transfusion Fetoscopy Laser Coagulation Sensitivity and Specificity Humans Deep Learning Pregnancy Image Processing, Computer-Assisted Female Placenta
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A neural network model for predicting the effectiveness of treatment in patients with neovascular glaucoma associated with diabetes mellitus.

Romanian journal of ophthalmology Jan 1, 2024
INTRODUCTION: The study hypothesizes that neural networks can be an effective tool for predicting treatment outcomes in patients with diabetic neovascular glaucoma (NVG), considering not only baseline intraocular pressure (IOP) values but also inflam...
Retrospective Studies Female Aged Intraocular Pressure Humans Diabetic Retinopathy Neural Networks, Computer Visual Acuity Male Laser Coagulation Middle Aged Ciliary Body Treatment Outcome Glaucoma, Neovascular Follow-Up Studies
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