Filters








57 Hits in 5.2 sec

Endoscopic Vision Challenge [article]

Stefanie Speidel, Lena Maier-Hein, Danail Stoyanov, Hassan Al Hajj, Gwenolé Quellec, Pierre-Henri Conze, Mathieu Lamard, Béatrice Cochener, Imanol Luengo, Abdolrahim Kadkhodamohammadi, Arnaud Huaulmé, Duygu Sarikaya (+8 others)
2020 Zenodo  
Sub-Challenge 1: CATARACTS - Surgical Workflow Analysis Surgical microscopes or endoscopes are commonly used to observe the anatomy of the organs in surgeries.  ...  Algorithms that have been reported for such images include 3D surface reconstruction, salient feature motion tracking, instrument detection or activity recognition.  ...  The "MIcro-Surgical Anastomose Workflow recognition" (MISAW) sub-challenge provides a unique dataset for online automatic recognition of surgical workflow by using both kinematic and stereoscopic video  ... 
doi:10.5281/zenodo.3715645 fatcat:i4poozlovnew5eixhxvp7hapji

Surgical Data Science - from Concepts toward Clinical Translation

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park (+39 others)
2021 Medical Image Analysis  
Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data.  ...  It has also been used to collect data for Endoscopic Vision challenges (e.g. EndoVis-Workflow; EndoVis-Workflow and Skill; EndoVis-ROBUST-MIS).  ...  This can be attributed to a number of various challenges, specifically related to high quality and high volume data annotation, as well as intraoperative data acquisition and analysis and surgical workflow  ... 
doi:10.1016/j.media.2021.102306 pmid:34879287 pmcid:PMC9135051 fatcat:4n27fogyqndghlc2e54h7uohgq

Surgical Data Science – from Concepts toward Clinical Translation [article]

Lena Maier-Hein, Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani, Johannes Fallert, Hubertus Feussner, Stamatia Giannarou, Pietro Mascagni, Hirenkumar Nakawala, Adrian Park (+38 others)
2021 arXiv   pre-print
Surgical Data Science (SDS) is a new research field that aims to improve the quality of interventional healthcare through the capture, organization, analysis and modeling of data.  ...  It has also been used to collect data for Endoscopic Vision challenges (e.g. EndoVis-Workflow; EndoVis-Workflow and Skill; EndoVis-ROBUST-MIS).  ...  This can be attributed to a number of various challenges, specifically related to high quality and high volume data annotation, as well as intraoperative data acquisition and analysis and surgical workflow  ... 
arXiv:2011.02284v2 fatcat:i5mq42uevjfxjmji5xdap3kgse

FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos

Sophia Bano, Francisco Vasconcelos, Emmanuel Vander Poorten, Tom Vercauteren, Sebastien Ourselin, Jan Deprest, Danail Stoyanov
2020 International Journal of Computer Assisted Radiology and Surgery  
Limited field-of-view, occlusions due to fetus presence and low visibility make it difficult to identify all vascular anastomoses.  ...  By using a lens/fibre-optic scope, inserted into the amniotic cavity, the abnormal placental vascular anastomoses are identified and ablated to regulate blood flow to both fetuses.  ...  The primary focus of surgical workflow analysis is to identify sequential, non-overlapping phases where each phase usually lasts for several minutes.  ... 
doi:10.1007/s11548-020-02169-0 pmid:32350787 fatcat:g5cpebfovvg4zfaymiofolfnaq

Virtual surgical planning, flow simulation, and 3-dimensional electrospinning of patient-specific grafts to optimize Fontan hemodynamics

Dominik Siallagan, Yue-Hin Loke, Laura Olivieri, Justin Opfermann, Chin Siang Ong, Diane de Zélicourt, Anastasios Petrou, Marianne Schmid Daners, Vartan Kurtcuoglu, Mirko Meboldt, Kevin Nelson, Luca Vricella (+3 others)
2018 Journal of Thoracic and Cardiovascular Surgery  
Next, nano/micro polymer fibers were electrospun onto the mandrel (Nanofiber Solutions, OH).  ...  Each represents a unique step and challenge in the use of 3D printing in the cardiovascular field.  ...  integrated approach including image segmentation, computer aided design based on flow simulations, patient specific optimization, and manufacturing of a custom graft has the potential to improve the surgical  ... 
doi:10.1016/j.jtcvs.2017.11.068 pmid:29361303 pmcid:PMC5860962 fatcat:o4fv4r5udrf3vdfl4vev4txlwy

Embolization and its limits: Tips and Tricks

Anna Maria Ierardi, Filippo Pesapane, Tal Horer, Victor Reva, Gianpaolo Carrafiello
2019 Journal of Endovascular Resuscitation and Trauma Management  
Blood loss is less than with traditional surgical treatment, and no surgical incision is needed.  ...  Among major complications, damage in adjacent organs has been reported [11, 54, 55] .  ... 
doi:10.26676/jevtm.v3i3.96 fatcat:h7avbnac7rfthg65vg6jvlhyt4

From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare

Javier Andreu-Perez, Daniel R. Leff, H. M. D. Ip, Guang-Zhong Yang
2015 IEEE Transactions on Biomedical Engineering  
Objective: This article discusses the evolution of pervasive healthcare from its inception for activity recognition using wearable sensors to the future of sensing implant deployment and data processing  ...  This is followed by a review on recent technological advances that have allowed unobtrusive continuous sensing combined with diverse technologies to reshape the clinical workflow for both acute and chronic  ...  The clinical relevance of each reported sensing hardware is included at the end of each row.  ... 
doi:10.1109/tbme.2015.2422751 pmid:25879838 fatcat:kvbux2fsfnfxldy2l4mphc2eb4

Review of intraoperative optical coherence tomography: technology and applications [Invited]

Oscar M. Carrasco-Zevallos, Christian Viehland, Brenton Keller, Mark Draelos, Anthony N. Kuo, Cynthia A. Toth, Joseph A. Izatt
2017 Biomedical Optics Express  
Surgical procedures outside microsurgery, such as breast tumor resections, may also benefit from visualization of the sub-surface tissue structures.  ...  Moreover, we discuss intraoperative OCT adjuncts and processing techniques currently under development to optimize the surgical feedback derivable from OCT data.  ...  Most reported HUDs used micro-displays to project live 2D OCT images into one [118, 119, 124, 128] or both [131] oculars of the operating microscope.  ... 
doi:10.1364/boe.8.001607 pmid:28663853 pmcid:PMC5480568 fatcat:i63ethetfzfbjapltoswn46lee

AI applications in robotics, precision medicine, and medical image analysis: an overview and future trends

Tetiana Habuza, Alramzana Nujum Navaz, Faiza Hashim, Fady Alnajjar, Nazar Zaki, Mohamed Adel Serhani, Yauhen Statsenko
2021 Informatics in Medicine Unlocked  
Robotics has taken huge leaps in improving the healthcare services in a variety of medical sectors, including oncology and surgical interventions.  ...  However, there are challenges that must still be addressed to enable the use of medical robots in diagnostics and interventions.  ...  Conflict of interests All authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1016/j.imu.2021.100596 fatcat:f3f7eenvw5hpnik4xx7divn3nq

CARS 2020—Computer Assisted Radiology and Surgery Proceedings of the 34th International Congress and Exhibition, Munich, Germany, June 23–27, 2020

2020 International Journal of Computer Assisted Radiology and Surgery  
Our initial validity study shows that acceptable to good accuracy for a number of surgical performance metrics can be achieved.  ...  Conclusion This work attempts to provide and validate a self-sustained tool for the automatic performance assessment of virtual temporal bone dissection performed within a mastoidectomy surgical simulator  ...  Therefore, surgical assistances by computers such as surgical navigation and workflow analysis are being developed to reduce surgical errors.  ... 
doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq

European Society for Vascular Surgery (ESVS) 2020 Clinical Practice Guidelines on the Management of Vascular Graft and Stent Graft Infections With the Endorsement of the European Association of Nuclear Medicine (EANM)

Nabil Chakfé, Holger Diener, Anne Lejay, Ojan Assadian, Xavier Berard, Jocelyne Caillon, Inge Fourneau, Andor W.J.M. Glaudemans, Igor Koncar, Jes Lindholt, Germano Melissano, Ben R. Saleem (+23 others)
2020 European Journal of Vascular and Endovascular Surgery  
SAT VGEI includes prosthetic patch, bypass, and stent graft infections. 71 However, infection rates might be underestimated, owing to lack of recognition and under reporting, as in other locations.  ...  Imaging workflow if vascular graft/endograft infection (VGEI) is suspected, divided into thoracic/abdominal and limb grafts.  ... 
doi:10.1016/j.ejvs.2019.10.016 pmid:32035742 fatcat:i5n46wvyobbjdnwxg4szuj7a7u

Abstracts of the 2021 Annual Virtual Meeting of the Swiss Society of Neurosurgery, September 16–17, 2021

Raphael Guzman
2021 Clinical and Translational Neuroscience  
Methods: We illustrate our radiological assessment with micro catheterization and our surgical technique to identify and exclude a multiple shunt thoracic pAVF.  ...  The significant longer setup time being noted for HMD doesn't impair the surgical workflow, but might be shortened with greater experience with MR HMD.  ...  Neurocognitive deficits are rarely reported in a systematic matter after NES but occur in up to 2% of the cases.  ... 
doi:10.3390/ctn5020019 fatcat:smkewqalt5hsbbdz42ikp65m7q

Machine intelligence for nerve conduit design and production

Caleb E. Stewart, Chin Fung Kelvin Kan, Brody R. Stewart, Henry W. Sanicola, Jangwook P. Jung, Olawale A. R. Sulaiman, Dadong Wang
2020 Journal of Biological Engineering  
In this review, we examine the translational challenges to peripheral nerve regeneration and where machine intelligence can innovate bottlenecks in neural tissue engineering.  ...  Descriptive tasks emphasize pattern recognition and correlation to establish data-driven workflows in AM, which is currently lacking in bioprinting [186] .  ...  Due to the variety of peripheral nerve damage etiologies, treating such condition by surgical means remains a challenge.  ... 
doi:10.1186/s13036-020-00245-2 pmid:32944070 pmcid:PMC7487837 fatcat:war5e54nnzbltnrzbadhgnzuem

Abstract Journal Reconstructive Surgery

2021 ANZ journal of surgery  
We present two cases of traumatic arteriovenous fistulas of the STA treated with complete surgical excision and also a review of the literature regarding aetiology, anatomy, pathogenesis, diagnosis.  ...  Purpose: To describe a unique multidisciplinary approach to a challenging surgical scenario.  ...  Recognition of this lesion is one of the major diagnostic criteria for TSC.  ... 
doi:10.1111/ans.16823 pmid:33964090 fatcat:xhyb6dledbadtodrctzfx5alei

ECR 2012 Book of Abstracts - A - Postergraduate Educational Programme

2012 Insights into Imaging  
workflow.  ...  For radiologists, recognition and reporting of tumour relation to anatomical structures such as the mesorectal fascia, the peritoneal reflection, the levators and anal sphincters, as well as identification  ...  Therefore, a thorough knowledge and recognition of the different knee ligament instability patterns by radiologists is essential to accurately report the findings on MR and to heighten awareness for specific  ... 
doi:10.1007/s13244-012-0153-4 pmid:22696127 pmcid:PMC3481066 fatcat:te6ctbtakzh5njsw43geghw3ta
« Previous Showing results 1 — 15 out of 57 results