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A computer vision approach to identifying the manufacturer of posterior thoracolumbar instrumentation systems

Adrish Anand, Alex R. Flores, Malcolm F. McDonald, Ron Gadot, David S. Xu, and Alexander E. Ropper

Mandal S , Greenblatt AB , An J . Imaging intelligence: AI is transforming medical imaging across the imaging spectrum . IEEE Pulse . 2018 ; 9 ( 5 ): 16 – 24 . 30273136 17 Schwartz JT , Valliani AA , Arvind V , Identification of anterior cervical spinal instrumentation using a smartphone application powered by machine learning . Spine (Phila Pa 1976) . 2022 ; 47 ( 9 ): E407 – E414 . 34269759 18 Litjens G , Kooi T , Bejnordi BE , A survey on deep learning in medical image analysis . Med Image Anal . 2017 ; 42 : 60 – 88 . 28778026

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Toward a transitional care from childhood and adolescence to adulthood in surgical neurooncology? A lesson from the Necker-Enfants Malades and the Sainte-Anne Hospitals collaboration

Alexandre Roux, Kévin Beccaria, Thomas Blauwblomme, Nizar Mahlaoui, Fabrice Chretien, Pascale Varlet, Stéphanie Puget, and Johan Pallud

, awareness, prevention, and health promotion for adolescents and their families. A multidisciplinary team offers a personalized welcome and individual consultations (e.g., neurosurgery, gynecology, dermatology, image consulting, occupational medicine). Group workshops and conferences for young people and parents are also organized. Digital tools have also been created (the “Noa” application for smartphones and a website, ) to facilitate the daily life of these patients (personalized alerts for scheduling appointments and medication

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Feasibility of smart glasses in supporting spinal surgical procedures in low- and middle-income countries: experiences from East Africa

Fabian Sommer, Francois Waterkeyn, Ibrahim Hussain, Jacob L. Goldberg, Sertac Kirnaz, Rodrigo Navarro-Ramirez, Alaaeldin Azmi Ahmad, Massimo Balsano, Branden Medary, Hamisi Shabani, Amanda Ng, Pravesh Shankar Gadjradj, and Roger Härtl

occur at any time and need to be treated promptly in order to provide the best possible outcome for patients. 3 , 4 Various concepts have been developed to meet this challenge. 5 One of these is intraoperative support by surgeons who are not on site where the surgery is being performed. 6 The introduction of Google Glass in the year 2013 as one of the first generally available smart glasses models offered new possibilities for remote support. Compared to other devices like smartphones, smart glasses allow a hands-free audiovisual communication and, not long after

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Augmented reality and physical hybrid model simulation for preoperative planning of metopic craniosynostosis surgery

Giselle Coelho, Nicollas Nunes Rabelo, Eduardo Vieira, Kid Mendes, Gustavo Zagatto, Ricardo Santos de Oliveira, Cassio Eduardo Raposo-Amaral, Maurício Yoshida, Matheus Rodrigues de Souza, Caroline Ferreira Fagundes, Manoel Jacobsen Teixeira, and Eberval Gadelha Figueiredo

creating and developing a new AR model that can be used as a cellphone app ( Video 1 ). VIDEO 1. AR simulator for preoperative surgical planning. Copyright Nicollas Nunes Rabelo, University of São Paulo. Used with permission. Click here to view. The production of a 3D model for AR for tablets or smartphones is usually based on the requirement to design objects that can be used with a variety of devices with different processing capabilities. In the case of medical uses, for example, for which there is often a demand to present real models of patients, we used software

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Three-dimensional–printed marker–based augmented reality neuronavigation: a new neuronavigation technique

Gorkem Yavas, Kadri Emre Caliskan, and Mehmet Sedat Cagli

: current and future trends . Expert Rev Med Devices . 2012 ; 9 ( 5 ): 491 – 500 . 23116076 10.1586/erd.12.42 7 Moreta-Martinez R , García-Mato D , García-Sevilla M , Pérez-Mañanes R , Calvo-Haro JA , Pascau J. Combining augmented reality and 3D printing to display patient models on a smartphone . J Vis Exp . 2020 ; 155 : e60618 . 8 Jensen LI , Dean PB , Nyman U , Golman K. Contrast media for CT. An analysis of the early pharmacokinetics . Invest Radiol . 1985 ; 20 ( 8 ): 867 – 870 . 10.1097/00004424-198511000-00016 4077440 9

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A mentorship model for neurosurgical training: the Mayo Clinic experience

Rohin Singh, Nicole M. De La Peña, Paola Suarez-Meade, Panagiotis Kerezoudis, Oluwaseun O. Akinduro, Kaisorn L. Chaichana, Alfredo Quiñones-Hinojosa, Bernard R. Bendok, Mohamad Bydon, Fredric B. Meyer, Robert J. Spinner, and David J. Daniels

model as an alternative option to the standard academic or “university” model. Mentorship in neurosurgery can take many different forms. An innovative approach integrating Vygotsky’s learning theory with real-time feedback through a smartphone app was piloted by Haglund et al. in 2021. 17 Their program, called the Surgical Autonomy Program (SAP), places trainees in their zone of proximal development and has faculty properly advise and monitor them in a step-by-step fashion using the TAGS system (T = Teach and Demonstrate, A = Advise and Scaffold, G = Guide and

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Neurosurgery resident training using blended learning concepts: course development and participant evaluation

Anne-Katrin Hickmann, Andrea Ferrari, Oliver Bozinov, Martin N. Stienen, and Carsten Ostendorp

can be accessed through multiple devices such as a personal computer, smartphone, or tablet computer, and allows for individualized training imitating a one-on-one mentorship by adapting to the trainee’s prior knowledge. Through performance analysis, the training is automatically adjusted to enhance the learning experience and to adjust the focus on content areas of need (knowledge gap), while spending little time on areas in which there is sufficient knowledge following an individualized order of different probes ( Fig. 2 ). FIG. 2. Individual learning paths of

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Objective assessment of patients with idiopathic normal pressure hydrocephalus following ventriculoperitoneal shunt placement using activity-monitoring data: pilot study

Ignacio Jusue-Torres, Desmond A. Brown, Zach Pennington, Petrice M. Cogswell, Farwa Ali, Neill Graff-Radford, David T. Jones, Jeremy K. Cutsforth-Gregory, Jonathan Graff-Radford, Kenton R. Kaufman, and Benjamin D. Elder

MR , Hoffberger JB , Rigamonti D . Using commercial activity monitors to measure gait in patients with suspected iNPH: implications for ambulatory monitoring . Cureus . 2015 ; 7 ( 11 ): e382 . 26719825 22 Sprau AC , Basil GW , Eliahu K , Using smartphone-based accelerometers to gauge postoperative outcomes in patients with NPH: implications for ambulatory monitoring . Surg Neurol Int . 2021 ; 12 : 464 . 34621579 23 Ferrari A , Milletti D , Palumbo P , Gait apraxia evaluation in normal pressure hydrocephalus using inertial

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Evaluation of patients referred to the spine clinic via telemedicine and the impact on diagnosis and surgical decision-making

Kaitlyn Melnick, Ken Porche, Sai Sriram, Michael Goutnik, Micaela Cuneo, Gregory Murad, Nohra Chalouhi, Adam Polifka, Daniel J. Hoh, and Matthew Decker

? Telemedicine for COVID-19 . N Engl J Med . 2020 ; 382 ( 18 ): 1679 – 1681 . 2 Iyer S , Shafi K , Lovecchio F , The spine physical examination using telemedicine: strategies and best practices . Global Spine J . 2022 ; 12 ( 1 ): 8 – 14 . 3 Bator EX , Gleason JM , Lorenzo AJ , The burden of attending a pediatric surgical clinic and family preferences toward telemedicine . J Pediatr Surg . 2015 ; 50 ( 10 ): 1776 – 1782 . 4 Stewart JJ , Fayed I , Henault S , Kalantar B , Voyadzis JM . Use of a smartphone application for spine

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Clinical metrics and tools for provider assessment and tracking of trigonocephaly

Nathan K. Leclair, Joshua Chern, Edward S. Ahn, Megan Chamis, Mitch R. Paro, William A. Lambert, Petronella Stoltz, David S. Hersh, Jonathan E. Martin, and Markus J. Bookland

curvature analysis. As smartphone technology evolves, the ability to render 3D models using simple camera applications may provide exciting 3D photography−based approaches that enhance accuracy or allow for integration of multiple surface-based landmarks. 10 However, we found that AAA 2D-photo measurements derived from single-view 2D patient photographs already perform exceedingly well at enabling the discrimination of nonmetopic craniosynostosis deformities from metopic craniosynostosis, with AUC values > 0.75, although additional data points are needed to identify the