25 Result(s)
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Article
Open AccessPath tracking control of a steerable catheter in transcatheter cardiology interventions
Intracardiac transcatheter interventions allow for reducing trauma and hospitalization stays as compared to standard surgery. In the treatment of mitral regurgitation, the most widely adopted transcatheter app...
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Article
Open AccessLearning-based keypoint registration for fetoscopic mosaicking
In twin-to-twin transfusion syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current practice, TTTS is treated surgical...
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Article
Open AccessToward a navigation framework for fetoscopy
Fetoscopic laser photocoagulation of placental anastomoses is the most effective treatment for twin-to-twin transfusion syndrome (TTTS). A robust mosaic of placenta and its vascular network could support surge...
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Article
Open AccessDeep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma
Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal non-Hodgkin lymphoma. To predict the overall survival (OS) in advance is of utmost importance as it has the potential to...
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Article
Open AccessRobot-assisted ex vivo neobladder reconstruction: preliminary results of surgical skill evaluation
Advanced developments in the medical field have gradually increased the public demand for surgical skill evaluation. However, this assessment always depends on the direct observation of experienced surgeons, w...
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Article
Open AccessLearning intraoperative organ manipulation with context-based reinforcement learning
Automation of sub-tasks during robotic surgery is challenging due to the high variability of the surgical scenes intra- and inter-patients. For example, the pick and place task can be executed different times ...
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Article
Real-time vessel segmentation and reconstruction for virtual fixtures for an active handheld microneurosurgical instrument
Complications related to vascular damage such as intra-operative bleeding may be avoided during neurosurgical procedures such as petroclival meningioma surgery. To address this and improve the patient’s safety...
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Chapter
Historical Perspectives
This chapter presents an historical overview of the entrance of robots in surgery, with focus on different surgical specializations. From the first milestone, represented by the first CT-guided stereotactic br...
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Reference Work Entry In depth
AIM in Medical Robotics
Medical robotics emerged in the 1980s to improve clinicians’ technical capability and increase safety in clinical procedures. This chapter specifically addresses the topic of surgical robots. Major opportuniti...
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Reference Work Entry In depth
AIM in Endoscopy Procedures
Artificial intelligence (AI) is revolutionizing the way medicine is practiced. In this context, the application of AI algorithms in endoscopy is gaining increasing attention so that modern endoscopy is moving ...
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Article
Open AccessUsing spatial-temporal ensembles of convolutional neural networks for lumen segmentation in ureteroscopy
Ureteroscopy is an efficient endoscopic minimally invasive technique for the diagnosis and treatment of upper tract urothelial carcinoma. During ureteroscopy, the automatic segmentation of the hollow lumen is ...
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Article
Open AccessPsychomotor skills development for Veress needle placement using a virtual reality and haptics-based simulator
Veress needle (VN) insertion, if not correctly performed, could cause severe injuries to intra-abdominal organs and vessels. Therefore, cognitive and psychomotor skills training is needed. Virtual reality (VR)...
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Article
Open AccessPath planning for endovascular catheterization under curvature constraints via two-phase searching approach
Planning a safe path for flexible catheters is one of the major challenges of endovascular catheterization. State-of-the-art methods rarely consider the catheter curvature constraint and reduced computational ...
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Living Reference Work Entry In depth
AIM in Medical Robotics
Medical robotics emerged in the 1980s to improve clinicians’ technical capability and increase safety in clinical procedures. This chapter specifically addresses the topic of surgical robots. Major opportuniti...
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Living Reference Work Entry In depth
AIM in Endoscopy Procedures
Artificial intelligence (AI) is revolutionizing the way medicine is practiced. In this context, the application of AI algorithms in endoscopy is gaining increasing attention so that modern endoscopy is moving ...
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Article
“Deep-Onto” network for surgical workflow and context recognition
Surgical workflow recognition and context-aware systems could allow better decision making and surgical planning by providing the focused information, which may eventually enhance surgical outcomes. While curr...
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Article
FCNN-based axon segmentation for convection-enhanced delivery optimization
Glioblastoma multiforme treatment is a challenging task in clinical oncology. Convection- enhanced delivery (CED) is showing encouraging but still suboptimal results due to drug leakages. Numerical models can ...
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Article
Computer-assisted liver graft steatosis assessment via learning-based texture analysis
Fast and accurate graft hepatic steatosis (HS) assessment is of primary importance for lowering liver dysfunction risks after transplantation. Histopathological analysis of biopsied liver is the gold standard ...
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Article
Toward a standard ontology of surgical process models
The development of common ontologies has recently been identified as one of the key challenges in the emerging field of surgical data science (SDS). However, past and existing initiatives in the domain of surg...
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Article
Retrospective evaluation and SEEG trajectory analysis for interactive multi-trajectory planner assistant
Focal epilepsy is a neurological disease that can be surgically treated by removing area of the brain generating the seizures. The stereotactic electroencephalography (SEEG) procedure allows patient brain acti...
