Results 21 to 30 of about 330,352 (233)

Simulação de bloqueios periféricos guiados por ultra-som: curva de aprendizado dos residentes de anestesiologia do CET-SMA/HSL Simulacro de bloqueos periféricos guiados por ultrasonido: curva de aprendizaje de los residentes de anestesiología del CET-SMA/HSL Simulation of ultrasound-guided peripheral nerve block: learning curve of CET-SMA/HSL anesthesiology residents

Revista Brasileira de Anestesiologia, 2008
JUSTIFICATIVA E OBJETIVOS: A técnica de ultra-som tem sido cada vez mais utilizada para a realização de bloqueios de nervos periféricos. Existem poucos relatos na literatura que analisam a curva de aprendizado da técnica de ultra-som.
Marilia Bonifácio Baranauskas, Clarita Bandeira Margarido, Cláudia Panossian, Enis Donizetti Silva, Murilo Awada Campanella, Pedro Paulo Kimachi   +5 more
doaj   +2 more sources

Estudio de la curva de aprendizaje de la facoemulsificación durante la residencia

Revista Cubana de Oftalmología
RESUMEN Objetivo: Evaluar la curva de aprendizaje de la facoemulsificación en residentes de Oftalmología. Métodos: Se realizó un estudio prospectivo, descriptivo de corte longitudinal, de las cirugías de cataratas por facoemulsificación, efectuadas por
Juan Raúl Hernández Silva, Marcos Antonio Carranza, Heidy Hernández Ramos, Meisy Ramos López, Elianne Perera Miniet   +4 more
doaj   +1 more source

Integrating presence‐only and presence–absence data to model changes in species geographic ranges: An example in the Neotropics

Journal of Biogeography, Volume 50, Issue 9, Page 1561-1575, September 2023., 2023
Abstract Aim Anthropogenic changes such as land use and climate change affect species' geographic ranges, causing range shifts, contractions, or expansions. However, data on range dynamics are insufficient, heterogeneous, and spatially and temporally biased in most regions.
Florencia Grattarola, Diana E. Bowler, Petr Keil   +2 more
wiley   +1 more source

Climate change adaptation in Central America: A review of the national policy efforts

Latin American Policy, Volume 13, Issue 2, Page 276-327, November 2022., 2022
Abstract The latest comparative studies of climate policies reinforce the fundamental importance of employing adaptation planning alongside national development strategies. While these studies are necessary to document and share the knowledge of the practices and experiences undertaken at the national level, documents are still scarce on regions of ...
Luis D. Segura, Annemarie van Zeijl‐Rozema, Pim Martens   +2 more
wiley   +1 more source

Anatomía quirúrgica aplicada de la artroplastia total de cadera por abordaje anterior directo: Ventajas y obstáculos durante la curva de aprendizaje

Revista Chilena de Ortopedia y Traumatología, 2023
Resumen El abordaje anterior directo (AAD) se ha convertido en una opción cada vez más popular entre los cirujanos ortopédicos para realizar una artroplastia total de cadera (ATC). El AAD proporciona un medio menos invasivo para acceder a la articulación
James N. Foster, Ashleigh N. Bush, Samantha Stanzione, Neil P. Sheth   +3 more
semanticscholar   +1 more source

Large‐scale, image‐based tree species mapping in a tropical forest using artificial perceptual learning

Methods in Ecology and Evolution, Volume 12, Issue 4, Page 608-618, April 2021., 2021
Abstract Information about the spatial distribution of species lies at the heart of many important questions in ecology. Logistical limitations and collection biases, however, limit the availability of such data at ecologically relevant scales. Remotely sensed information can alleviate some of these concerns, but presents challenges associated with ...
Chengliang Tang, María Uriarte, Helen Jin, Douglas C. Morton, Tian Zheng, Aaron Ellison   +5 more
wiley   +1 more source

Estimulación cardiaca en Cienfuegos, algunas observaciones durante la curva de aprendizaje

Medisur, 2012
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Arnaldo Rodríguez León, Francisco Luís Moreno Martínez   +1 more
doaj   +3 more sources

Shortening surgical training through robotics: randomized clinical trial of laparoscopic versus robotic surgical learning curves

BJS Open, Volume 4, Issue 6, Page 1100-1108, December 2020., 2020
Medical students and surgical trainees were randomized to robotic or laparoscopic simulator training followed by cadaveric surgical tasks. The robotic groups had a shorter learning curve with better task performance. Another advantage for robotic surgery Background Minimally invasive surgery is the standard technique for many operations.
T. M. H. Gall, W. Alrawashdeh, N. Soomro, S. White, L. R. Jiao   +4 more
wiley   +1 more source

Locoregional recurrences after transanal total mesorectal excision of rectal cancer during implementation

BJS (British Journal of Surgery), Volume 107, Issue 9, Page 1211-1220, August 2020., 2020
During the learning curve, the transanal total mesorectal excision procedure is associated with a high multifocal local recurrence rate, which appears to be related to suboptimal execution rather than the technique, and necessitates prolonged proctoring, optimization of the technique avoiding spillage, participation in controlled clinical trials with ...
S. E. van Oostendorp, H. J. Belgers, B. T. Bootsma, J. C. Hol, E. J. T. H. Belt, W. Bleeker, F. C. Den Boer, A. Demirkiran, M. S. Dunker, H. F. J. Fabry, E. J. R. Graaf, J. J. Knol, S. J. Oosterling, G. D. Slooter, D. J. A. Sonneveld, A. K. Talsma, H. L. Van Westreenen, M. Kusters, R. Hompes, H. J. Bonjer, C. Sietses, J. B. Tuynman   +21 more
wiley   +1 more source

Machine learning to predict early recurrence after oesophageal cancer surgery

BJS (British Journal of Surgery), Volume 107, Issue 8, Page 1042-1052, July 2020., 2020
Early recurrence after surgery for adenocarcinoma of the oesophagus is common. A risk prediction model was derived using modern machine learning methods that accurately predicts risk of early recurrence using postoperative pathology. Machine learning may help Background Early cancer recurrence after oesophagectomy is a common problem, with an incidence
S. A. Rahman, R. C. Walker, M. A. Lloyd, B. L. Grace, G. I. van Boxel, B. F. Kingma, J. P. Ruurda, R. van Hillegersberg, S. Harris, S. Parsons, S. Mercer, E. A. Griffiths, J. R. O'Neill, R. Turkington, R. C. Fitzgerald, T. J. Underwood, the OCCAMS Consortium, Ayesha Noorani, Rachael Fels Elliott, Paul A.W. Edwards, Nicola Grehan, Barbara Nutzinger, Jason Crawte, Hamza Chettouh, Gianmarco Contino, Xiaodun Li, Eleanor Gregson, Sebastian Zeki, Rachel de la Rue, Shalini Malhotra, Simon Tavaré, Andy G. Lynch, Mike L. Smith, Jim Davies, Charles Crichton, Nick Carroll, Peter Safranek, Andrew Hindmarsh, Vijayendran Sujendran, Stephen J. Hayes, Yeng Ang, Shaun R. Preston, Sarah Oakes, Izhar Bagwan, Vicki Save, Richard J.E. Skipworth, Ted R. Hupp, J. Robert O'Neill, Olga Tucker, Andrew Beggs, Philippe Taniere, Sonia Puig, Timothy J. Underwood, Fergus Noble, James P. Byrne, Jamie J. Kelly, Jack Owsley, Hugh Barr, Neil Shepherd, Oliver Old, Jesper Lagergren, James Gossage, Andrew Davies Fuju Chang, Janine Zylstra, Vicky Goh, Francesca D. Ciccarelli, Grant Sanders, Richard Berrisford, Catherine Harden, David Bunting, Mike Lewis, Ed Cheong, Bhaskar Kumar, Simon L. Parsons, Irshad Soomro, Philip Kaye, John Saunders, Laurence Lovat, Rehan Haidry, Victor Eneh, Laszlo Igali, Michael Scott, Shamila Sothi, Sari Suortamo, Suzy Lishman, George B. Hanna, Christopher J. Peters, Anna Grabowska   +87 more
wiley   +1 more source