المؤلفون: Martínez-Córdoba, Claudia J, Quijano-Nieto, Bernardo A, Echeverría-González, Claudia L, Sierra-Bernal, Rosa M

المصدر: Indian Journal of Ophthalmology ; volume 69, issue 8, page 2151-2156 ; ISSN 0301-4738 1998-3689

الاتاحة: https://doi.org/10.4103/ijo.ijo_137_21
https://journals.lww.com/10.4103/ijo.IJO_137_21

المؤلفون: Vega Zabaraín, Alejandra, Arbeláez Gutiérrez, Paula, Finocchio Rivero, Andrea, Quijano Nieto, Bernardo

المصدر: Revista Sociedad Colombiana de Oftalmología, ISSN 2539-424X, Vol. 56, Nº. 3, 2023, pags. 106-115

مصطلحات الفهرس: text (article)

URL: https://dialnet.unirioja.es/servlet/oaiart?codigo=9288535

المؤلفون: Rodríguez Velásquez, Javier Oswaldo, Soracipa Muñoz, Maria Yolanda, Ovalle Londoño, Iván Andres, Castro Hernández, Mónica Genith, Senjoa, Nairo, Quijano Nieto, Bernardo, Ortiz Tovar, Adriana Lizbeth, Guzmán de la Rosa, Esmeralda Esther, Rozo Gonzalez, Arlyn Carolina

المصدر: Archivos de Medicina (Manizales); Vol. 18 No. 1; 13-23 ; Archivos de Medicina (Manizales); Vol. 18 Núm. 1; 13-23 ; Archivos de Medicina (Manizales); v. 18 n. 1; 13-23 ; 2339-3874 ; 1657-320X

مصطلحات موضوعية: math, fractals, hematology, erythrocyte, anemia hemolytic, fractales, hematología, eritrocito, anemia hemolítica

وصف الملف: application/pdf; text/html; application/epub+zip; application/xml

Relation: https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/1835/3114; https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/1835/3182; https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/1835/3535; https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/1835/3536; https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/1835

الاتاحة: https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/1835
https://doi.org/10.30554/archmed.18.1.1835.2018

المؤلفون: Quijano Nieto, Bernardo, Pineda Gutiérrez, Lina Marcela

المصدر: Revista Sociedad Colombiana de Oftalmología; Vol. 50, Núm. 2: Julio-Diciembre; 107-112 ; 2539-424X ; 0120-0453

مصطلحات موضوعية: Vasculitis retiniana, uveítis, angiografía fl uoresceínica, isquemia

وصف الملف: application/pdf

Relation: https://scopublicaciones.socoftal.com/index.php/SCO/article/view/67/65; https://scopublicaciones.socoftal.com/index.php/SCO/article/view/67

الاتاحة: https://scopublicaciones.socoftal.com/index.php/SCO/article/view/67

Alternate Title: Ocular complications derived from the use of new oral anticoagulants: narrative review. (English)

المؤلفون: Vega-Zabaraín, Alejandra, Arbeláez-Gutiérrez, Paula, Finocchio-Rivero, Andrea, Quijano-Nieto, Bernardo

المصدر: Revista Sociedad Colombiana de Oftalmología; sep-dic2023, Vol. 56 Issue 3, p106-115, 10p

مصطلحات موضوعية: ORAL medication, SURGICAL complications, OPHTHALMIC surgery, OPERATIVE surgery, ANTICOAGULANTS

المؤلفون: Quijano Nieto, Bernardo, Peñaloza Suárez, Sandra Juliana, Pérez Murillo, Alba

المصدر: Revista Sociedad Colombiana de Oftalmología; Vol. 49, Núm. 2: Abril-Junio; 142-152 ; 2539-424X ; 0120-0453

مصطلحات موضوعية: Enfermedad de Coats, telangiectasias retinianas, fotocoagulación láser, antiangiogénicos

وصف الملف: application/pdf

Relation: https://scopublicaciones.socoftal.com/index.php/SCO/article/view/21/17; https://scopublicaciones.socoftal.com/index.php/SCO/article/view/21

الاتاحة: https://scopublicaciones.socoftal.com/index.php/SCO/article/view/21

المؤلفون: López Puerto, Mayerly, Quijano Nieto, Bernardo, Otoya Albino, Valeria

المصدر: Revista Sociedad Colombiana de Oftalmología, ISSN 2539-424X, Vol. 55, Nº. 2, 2022, pags. 72-79

وصف الملف: application/pdf

Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9288145; (Revista) ISSN 0120-0453; (Revista) ISSN 2539-424X

الاتاحة: https://dialnet.unirioja.es/servlet/oaiart?codigo=9288145

المؤلفون: Quijano Nieto, Bernardo, F. Martínez Pulgarín, Dayron, P. Reyes Vivas, Laura

المصدر: Revista Sociedad Colombiana de Oftalmología, ISSN 2539-424X, Vol. 54, Nº. 1, 2021, pags. 58-62

وصف الملف: application/pdf

Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9287083; (Revista) ISSN 0120-0453; (Revista) ISSN 2539-424X

الاتاحة: https://dialnet.unirioja.es/servlet/oaiart?codigo=9287083

المؤلفون: Martínez Córdoba, Claudia Johanna, Quijano Nieto, Bernardo, Echeverría, Claudia, Sierra Bernal, Rosa María

المصدر: Revista Sociedad Colombiana de Oftalmología, ISSN 2539-424X, Vol. 54, Nº. 1, 2021, pags. 20-28

وصف الملف: application/pdf

Relation: https://dialnet.unirioja.es/servlet/oaiart?codigo=9287078; (Revista) ISSN 0120-0453; (Revista) ISSN 2539-424X

الاتاحة: https://dialnet.unirioja.es/servlet/oaiart?codigo=9287078

Alternate Title: Fractal geometry applied to compare the spaces occupied by normal erythrocytes and spherocytes. (English)

المؤلفون: RODRÍGUEZ VELÁSQUEZ, JAVIER OSWALDO, SORACIPA MUÑOZ, MARÍA YOLANDA, OVALLE LONDOÑO, IVÁN ANDRÉS, CASTRO HERNÁNDEZ, MÓNICA GENITH, SENEJOA, NAIRO, QUIJANO NIETO, BERNARDO, ORTIZ TOVAR, ADRIANA LIZBETH, GUZMÁN DE LA ROSA, ESMERALDA ESTHER, ROZO GONZALEZ, ARLYN CAROLINA

المصدر: Archivos de Medicina (1657-320X); jan-jun2018, Vol. 18 Issue 1, p13-23, 11p

المؤلفون: Gallego Suárez, Laura Juliana

المساهمون: Quijano Nieto, Bernardo Alfonso, Perdomo Charry Oscar Julian

مصطلحات موضوعية: Tomografia, Biochemical markers, Artificial, Coherencia, Optica, Enfermedades de los ojos, Venosa, Eye diseases, medicina, Inteligencia, Marcadores bioquímicos, Oclusión

وصف الملف: xiii, 37 páginas; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______1326::ac8f601f6f848e17bae0d64b23cede73
https://repositorio.unal.edu.co/handle/unal/83367

المؤلفون: Giraldo Toro, Daniel Eduardo

المساهمون: Quijano Nieto, Bernardo Alfonso, Amaya Nieto, Javier Antonio

المصدر: Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia

مصطلحات موضوعية: Leukemia, Optical coherence tomography, Lymphoma, Linfoma no Hodgkin, 617 - Cirugía, medicina regional, odontología, oftalmología, otología, audiología [610 - Medicina y salud], Lymphoma, Non-Hodgkin, Macula, Mácula, 616 - Enfermedades [610 - Medicina y salud], Precursor Cell Lymphoblastic Leukemia-Lymphoma, Leucemia-Linfoma Linfoblástico de Células Precursoras, Mácula Lútea, Tomografía de coherencia óptica, Linfoma, Macula Lutea, Leucemia

وصف الملف: iv, 36 páginas; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::75c6a4ad1b8c3aee2f205b9e34e92386
https://repositorio.unal.edu.co/handle/unal/82978

المؤلفون: Gallego Suárez, Laura Juliana

المساهمون: Quijano Nieto, Bernardo Alfonso, Perdomo Charry Oscar Julian, orcid:0000-0001-5056-5956

مصطلحات موضوعية: medicina, Biochemical markers, Eye diseases, Marcadores bioquímicos, Enfermedades de los ojos, Inteligencia, Artificial, Oclusión, Venosa, Tomografia, Coherencia, Optica

وصف الملف: xiii, 37 páginas; application/pdf

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الاتاحة: https://repositorio.unal.edu.co/handle/unal/83367
https://repositorio.unal.edu.co/

المؤلفون: Giraldo Toro, Daniel Eduardo

المساهمون: Quijano Nieto, Bernardo Alfonso, Amaya Nieto, Javier Antonio

مصطلحات موضوعية: 610 - Medicina y salud::616 - Enfermedades, 610 - Medicina y salud::617 - Cirugía, medicina regional, odontología, oftalmología, otología, audiología, Mácula Lútea, Leucemia-Linfoma Linfoblástico de Células Precursoras, Linfoma no Hodgkin, Macula Lutea, Precursor Cell Lymphoblastic Leukemia-Lymphoma, Lymphoma, Non-Hodgkin, Leucemia, Linfoma, Tomografía de coherencia óptica, Mácula, Optical coherence tomography, Macula, Leukemia

وصف الملف: iv, 36 páginas; application/pdf

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Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/RESOLUCION-8430-DE-1993.PDF; Asociación Médica Mundial. Declaración de Helsinki de la AMM – Principios éticos para las investigaciones médicas en seres humanos. Fortaleza; 2013. Disponible en: https://www.wma.net/es/policies-post/declaracion-de-helsinkide-la-amm-principios-eticos-para-las-investigaciones-medicas-en-sereshumanos; Congreso de la República de Colombia. Ley Estatutaria 1581 de 2012. Artículos 5 y 6, pp. 4. [Internet] Bogotá DC; 2012. Disponible en: https://www.defensoria.gov.co/public/Normograma%202013_html/Normas/Ley_1581_2012.pdf.; Organización Panamericana de la Salud (OPS/OMS), Consejo de Organizaciones Internacionales de las Ciencias Médicas (CIOMS). Pautas éticas internacionales para la investigación relacionada con la salud con seres humanos, 4° Edición. [Internet] Ginebra: CIOMS; 2016. Disponible en: cioms.ch/wp-content/uploads/2017/12/CIOMSEthicalGuideline_SP_INTERIOR-FINAL.pdf; Dohner H, Estey E, Grimwade D, Amadori S, Appelbaum FR, Buchner T, et al. Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood. 2016.; Bassan R, Hoelzer D. Modern therapy of acute lymphoblastic leukemia (review). J Clin Oncol. 2011;29(5):532–543.; Parikh, S. A. (2018). Chronic lymphocytic leukemia treatment algorithm 2018. Blood Cancer Journal, 8(10).; RIVOALEN, A., & LE XUAN CHAT. (1962). Chronic myeloid leukemia in children. La Médecine Infantile, 69, 427–436.; Hermans J, Krol AD, van Groningen K, Kluin PM, Kluin-Nelemans JC, Kramer MH, Noordijk EM, Ong F, Wijermans PW. International Prognostic Index for aggressive non-Hodgkin's lymphoma is valid for all malignancy grades. Blood. 1995 Aug 15;86(4):1460-3.; https://repositorio.unal.edu.co/handle/unal/82978; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

الاتاحة: https://repositorio.unal.edu.co/handle/unal/82978
https://repositorio.unal.edu.co/

المؤلفون: Padilla Pantoja, Fabio Daniel

المساهمون: Quijano Nieto, Bernardo alfonso, Perdomo Charry, Oscar Julián, González Osorio, Fabio Augusto, Grupo de Investigacion en Oftalmología Básica y Clínica

مصطلحات موضوعية: 610 - Medicina y salud::617 - Cirugía, medicina regional, odontología, oftalmología, otología, audiología, Macular Edema, Artificial Intelligence, Tomography, Optical, Edema Macular, Inteligencia Artificial, Tomografía Óptica, Machine Learning, Optical coherence tomography, Tomografía de coherencia óptica

وصف الملف: xiii, 50 páginas; application/pdf

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Automated deep learning in ophthalmology: AI that can build AI. Curr Opin Ophthalmol. 2021;32(5):406-412.; Kapoor R, Walters SP, Al-Aswad LA. The current state of artificial intelligence in ophthalmology. Surv Ophthalmol. 2019;64(2):233-240.; Rajinikanth V, Sivakumar R, Hemanth DJ, et al. Automated classification of retinal images into AMD/non-AMD Class—a study using multi-threshold and Gassian-filter enhanced images. Evol Intell 2021 142. 2021;14(2):1163-1171.; Zhong P, Wang J, Guo Y, et al. Multiclass retinal disease classification and lesion segmentation in OCT B-scan images using cascaded convolutional networks. Appl Opt. 2020;59(33):10312-10320.; Fang L, Wang C, Li S, et al. Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification. IEEE Trans Med Imaging. 2019 Aug;38(8):1959-1970.; Kuwayama S, Ayatsuka Y, Yanagisono D, et al. Automated Detection of Macular Diseases by Optical Coherence Tomography and Artificial Intelligence Machine Learning of Optical Coherence Tomography Images. J Ophthalmol. 2019;2019.; Bhatia KK, Graham MS, Terry L, et al. DISEASE CLASSIFICATION OF MACULAR OPTICAL COHERENCE TOMOGRAPHY SCANS USING DEEP LEARNING SOFTWARE: Validation on Independent, Multicenter Data. Retina. 2020 Aug;40(8):1549-1557.; Liu X, Bai Y, Cao J, et al. Joint disease classification and lesion segmentation via one-stage attention-based convolutional neural network in OCT images. Biomed Signal Process Control. 2022;71:103087.; Das UN. Diabetic macular edema, retinopathy and age-related macular degeneration as inflammatory conditions. Arch Med Sci. 2016;12(5):1142-1157.; Bhagat N, Grigorian RA, Tutela A, et al. Diabetic Macular Edema: Pathogenesis and Treatment. Surv Ophthalmol. 2009;54(1):1-32.; Bolz M, Kriechbaum K, Simader C, et al. In Vivo Retinal Morphology after Grid Laser Treatment in Diabetic Macular Edema. 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Eur J Ophthalmol. 2020;30(1):8-18.; Yiu G, Welch RJ, Wang Y, et al. Spectral-Domain OCT Predictors of Visual Outcomes after Ranibizumab Treatment for Macular Edema Resulting from Retinal Vein Occlusion. Ophthalmol Retin. 2020;4(1):67-76.; Yu C, Xie S, Niu S, et al. Hyper-reflective foci segmentation in SD-OCT retinal images with diabetic retinopathy using deep convolutional neural networks. Med Phys. 2019;46(10):4502-4519.; Ozer MD, Batur M, Mesen S, et al. Evaluation of the Initial Optical Coherence Tomography Parameters in Anticipating the Final Visual Outcome of Central Retinal Vein Occlusion. J Curr Ophthalmol. 2020;32(1):46-52.; Schmidt-Erfurth U, Sadeghipour A, Gerendas BS, et al. Artificial intelligence in retina. Prog Retin Eye Res. 2018;67:1-29.; Currie G, Hawk KE, Rohren E, et al. Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging. J Med Imaging Radiat Sci. 2019;50(4):477- 487.; Carin L, Pencina MJ. On deep learning for medical image analysis. JAMA - J Am Med Assoc. 2018;320(11):1192-1193.; Lakhani P, Gray DL, Pett CR, et al. Hello World Deep Learning in Medical Imaging. J Digit Imaging. 2018;31(3):283-289.; Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56.; Ngiam KY, Khor IW. Big data and machine learning algorithms for health-care delivery. Lancet Oncol. 2019;20(5):e262-e273.; Perdomo Charry OJ, González Osorio FA. A Systematic Review of Deep Learning Methods Applied to Ocular Images. Cienc e Ing Neogranadina. 2019;30(1):9-26.; Maninis KK, Pont-Tuset J, Arbeláez P, et al. Deep retinal image understanding. In: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 9901 LNCS. Springer Verlag; 2016:140-148.; Abràmoff MD, Lavin PT, Birch M, et al. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. npj Digit Med. 2018;1(1).; Schlegl T, Waldstein SM, Bogunovic H, et al. Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning. Ophthalmology. 2018;125(4):549-558.; Roy AG, Conjeti S, Karri SPK, et al. ReLayNet: retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks. Biomed Opt Express. 2017;8(8):3627.; Alsaih K, Yusoff MZ, Tang TB, et al. Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans. In: Institute of Electrical and Electronics Engineers (IEEE); 2020:68-72.; Gao K, Niu S, Ji Z, et al. Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images. Comput Methods Programs Biomed. 2019;176:69-80.; Guan L, Yu K, Chen X. Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSE. In: Angelini ED, Landman BA, eds. Medical Imaging 2019: Image Processing. Vol 10949. SPIE; 2019:110.; Chakravarthy U, Goldenberg D, Young G, et al. Automated Identification of Lesion Activity in Neovascular Age-Related Macular Degeneration. In: Ophthalmology. Vol 123. Elsevier Inc.; 2016:1731-1736.; Ogino K, Murakami T, Tsujikawa A, et al. Characteristics of optical coherence tomographic hyperreflective foci in retinal vein occlusion. Retina. 2012;32(1):77-85.; Iannetti L, Spinucci G, Abbouda A, et al. Spectral-Domain Optical Coherence Tomography in Uveitic Macular Edema: Morphological Features and Prognostic Factors. Ophthalmologica. 2012;228(1):13-8; Munk M, Sacu S, Huf W, et al. Differential diagnosis of macular edema of different pathophysiologic origins by spectral domain optical coherence tomography. Retina. 2014;34(11):2218-2232.; Hassan B, Qin S, Ahmed R, et al. Deep learning based joint segmentation and characterization of multi-class retinal fluid lesions on OCT scans for clinical use in anti-VEGF therapy. Comput Biol Med. 2021;136:104727.; Tsuji T, Hirose Y, Fujimori K, et al. Classification of optical coherence tomography images using a capsule network. BMC Ophthalmol. 2020;20(1):114.; Karri SP, Chakraborty D, Chatterjee J. Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age- related macular degeneration. Biomed Opt Express. 2017;8(2):579-592.; Sanchez YD, Nieto B, Padilla FD, et al. Segmentation of retinal fluids and hyperreflective foci using deep learning approach in optical coherence tomography scans. In: Brieva J, Lepore N, Romero Castro E, Linguraru MG, eds. 16th International Symposium on Medical Information Processing and Analysis. Vol 11583. SPIE; 2020:38.; Kermany DS, Goldbaum M, Cai W et al. Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning. Cell. 2018;172(5):1122- 1131.e9. Dataset disponible en http://dx.doi.org/10.17632/rscbjbr9sj.3; Farsiu S, Chiu SJ, O’Connell RV, et al. Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography. Ophthalmology. 2014;121(1):162-172. Dataset disponible en línea en: https://people.duke.edu/~sf59/RPEDC_Ophth_2013_dataset.htm; Zou KH, Warfield SK, Bharatha A, et al. Statistical Validation of Image Segmentation Quality Based on a Spatial Overlap Index. Acad Radiol. 2004;11(2):178-189.; Hu J, Shen L, Sun G. Squeeze-and-Excitation Networks. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit. 2018:7132-7141.; Szegedy C, Ioffe S, Vanhoucke V, Alemi AA. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning. 31st AAAI Conf Artif Intell AAAI 2017. 2016:4278-4284.; Softmax Function Definition %7C DeepAI. Recuperado el 28 de noviembre de 2021 de https://deepai.org/machine-learning-glossary-and-terms/softmax-layer.; Ministerio de Salud y Protección Social. Resolución 8430 de 1993. Artículo 10, pp. 3. Bogotá DC; 1993. Disponible en: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/RE SOLUCION-8430-DE-1993.PDF; Asociación Médica Mundial. Declaración de Helsinki de la AMM - Principios éticos para las investigaciones médicas en seres humanos. Fortaleza; 2013. Disponible en: https://www.wma.net/es/policies-post/declaracion-de-helsinki- de-la-amm- principios-eticos-para-las-investigaciones-medicas-en-seres- humanos/; Congreso de la República de Colombia. Ley Estatutaria 1581 de 2012. Artículos 5 y 6, pp. 4. Bogotá DC; 2012. Disponible en: https://www.defensoria.gov.co/public/Normograma%202013_html/Normas/L ey_1581_2012.pdf; Organización Panamericana de la Salud (OPS/OMS), Consejo de Organizaciones Internacionales de las Ciencias Médicas (CIOMS). Pautas éticas internacionales para la investigación relacionada con la salud con seres humanos, 4° Edición. [Internet] Ginebra: CIOMS; 2016. Disponible en: cioms.ch/wp-content/uploads/2017/12/CIOMS- EthicalGuideline_SP_INTERIOR- FINAL.pdf; Jha D, Smedsrud PH, Riegler MA, et al. ResUNet++: An Advanced Architecture for Medical Image Segmentation. 2019 IEEE Int Symp Multimed. December 2019:225- 2255.; Chen Z, Li D, Shen H, et al. Automated segmentation of fluid regions in optical coherence tomography B-scan images of age-related macular degeneration. Opt Laser Technol. 2020;122:105830.; Selvaraju RR, Cogswell M, Das A, et al. Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization. Int J Comput Vis. 2016;128(2):336-359.; Li F, Chen H, Liu Z, et al. Deep learning-based automated detection of retinal diseases using optical coherence tomography images. Biomed Opt Express. 2019;10(12):6204.; Sundararajan M, Schallhorn JM, Doan T, et al. Changes to ophthalmic clinical care during the coronavirus disease 2019 pandemic. Curr Opin Ophthalmol. 2021;32(6):561-566.; Gallardo M, Munk MR, Kurmann T, et al. Machine Learning Can Predict Anti-VEGF Treatment Demand in a Treat-and-Extend Regimen for Patients with Neovascular AMD, DME, and RVO Associated Macular Edema. Ophthalmol Retin. 2021;5(7):604-624.; https://repositorio.unal.edu.co/handle/unal/80817; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

الاتاحة: https://repositorio.unal.edu.co/handle/unal/80817
https://repositorio.unal.edu.co/

المؤلفون: Martínez Córdoba, Claudia Johanna

المساهمون: Quijano Nieto, Bernardo Alfonso, Echeverría González, Claudia Liliana, Sierra Bernal, Rosa María, Contreras Candelo, Silvia Alejandra, Camargo Rodríguez, Camila Andrea

مصطلحات موضوعية: Defectos refractivos, Parto pretérmino, Astigmatismo, Espesor macular, ESTRABISMO, Retinopatía del prematuro, Retinopathy of prematurity, Optic coherence tomography, Strabismus, Tomografía de coherencia óptica, Refractive errors, Macular thickness, Pre-term birth, MIOPIA, OFTALMOLOGIA

وصف الملف: applicaction/pdf; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______2802::51e41ace1bf9e3ccf9023a5dcf72e3d1
https://hdl.handle.net/10654/37383

المؤلفون: Martínez Córdoba, Claudia Johanna

المساهمون: Quijano Nieto, Bernardo Alfonso, Echeverría González, Claudia Liliana, Sierra Bernal, Rosa María, Contreras Candelo, Silvia Alejandra, Camargo Rodríguez, Camila Andrea

مصطلحات موضوعية: Retinopathy of prematurity, Pre-term birth, Refractive errors, Strabismus, Optic coherence tomography, Macular thickness, OFTALMOLOGIA, ESTRABISMO, MIOPIA, Astigmatismo, Parto pretérmino, Retinopatía del prematuro, Defectos refractivos, Tomografía de coherencia óptica, Espesor macular

جغرافية الموضوع: Agosto 2018 hasta Diciembre 2019, Medicina

Time: Hospital Militar Central (Bogotá, Colombia), Agosto 2018 hasta Diciembre 2019

وصف الملف: applicaction/pdf; application/pdf

Relation: Giraldo MM, Hurtado A, Donado JH, Molina MC. Epidemiología de la retinopatía del prematuro en Medellín, 2003-2008. Iatreia 2001; 24(3):250-258; Leung MPS, Thompson B, Black J, Dai S, Alsweiler JM. The effects of preterm birth on visual development. Clin Exp Optom 2017; 101(1):4-12; Zhu X, Zhao R, Wang Y, Ouyang L, Yang J, Li Y, et al. Refractive state and optical compositions of preterm children with and without retinopathy of prematurity in the first 6 years of life. Medicine 2017; 96(45); Fieb A, Kölb-Keerl R, Schuster AK, Knuf M, Kirchhof B, Muether PS, et al. Prevalence and associated factors of strabismus in former preterm and full-term infants between 4 and 10 Years of age. BMC Ophthalmology 2017; 17(228); Miki A, Honda S, Inoue Y, Yamada Y, Nakamura M. Foveal Depression and Related Factors in Patients with a History of Retinopathy of Prematurity. Ophthalmologica 2018; 240(2):106-110; Charpak N, Ruiz JG, Motta S. Curso Clínico y pronóstico a un año de una cohorte de prematuros dados de alta con oxígeno domiciliario en Bogotá, Colombia. Rev salud pública 2012; 14(1):102-115; Palencia A. Parto Prematuro. Sociedad Colombiana de Pediatría CCAP 2009; 9(4); Owen LA, Morrison MA, Hoffman RO, Yoder BA, DeAngelis MM. Retinopathy of prematurity: A comprehensive risk analysis for prevention and prediction of disease. PLoS ONE 2017; 12(2); Sathar A, Shanavas A, Girijadevi PS, Jasmin LB, Kumar S, Pillai RK. Risk Factors of Retinopathy of Prematurity in a Tertiary Care Hospital in South India. Clin Epidemiol Glob Heath 2018; 6(1):44-49; Azami M, Jaafari Z, Rahmati S, Farahani AD, Badfar Gholamreza. Prevalence and risk factors of retinopathy of prematurity in Iran: a systematic review and meta-analysis. BMC Ophthalmology 2018; 18(83); Kim SJ, Port AD, Swan R, Campbell P, Chan P, Chiang M. Retinopathy of Prematurity: A Review of Risk Factors and their Clinical Significance. Survey of Ophthalmology 2018; 63(5):618-637; Lynch AM, Wagner BD, Hodges JK, Thevarajah TS, Mccourt EA, Cerda AM, et al. The Relationship of the Subtypes of Preterm Birth with Retinopathy of Prematurity. American Journal of Obstetrics and Gynecology 2017; 217(3); Hellstrom A, Kallen K, Carlsson B, Holmstrom G, Jakobsson P, Lundgren P, et al. Extreme Prematurity, treated retinopathy, bronchopulmonary dysplasia and cerebral palsy are significant risk factors for ophthalmological abnormalities at 6.5 years of age. Acta Paediatr 20148; 107(5):811-821; Gole GA, Ells AL, Katz X, Holmstrom G, Fielder AR, Capone A, et al. The International Classification of Retinopathy of Prematurity Revisited. Arch Ophthalmol 2005; 123(7):991-999; Good WV. Final Results of The Early Treatment for Retinopathy of Prematurity (ETROP) Randomized Trial. Trans Am Ophthalmol Soc 2004; 102:233-250; Guerra M, Perez O, Barbosa V, Ruis V. Prevalencia de retinopatía del prematuro y características de los recién nacidos afectados por esta enfermedad en una UCIN Barranquilla 2015. Unimetro 2016; 34(61):50-54; Abdala-Caballero C, Acosta-Reyes J, Izquierdo-León MA. Caracterización de la Retinopatía de la Prematuridad entre el Período de 2008 y 2014 en Barranquilla - Colombia. Rev. Sociedad Colombiana de Oftalmología 2015; 48(3):213–222; Montealegre-Pomar A, Sierra-Andrade AP, Charpak N. El Programa Madre Canguro de Yopal, Colombia: una oportunidad de seguimiento del niño prematuro. Rev. Salud Pública 2018; 20(1):10-16; Katz X. Prematuridad y Visión. Rev. Med. Clin. Condes 2010; 21(6):978-983; Akerblom H, Holmstrom G, Eriksson U, Larsson E. Retinal nerve fibre layer thickness in school-aged prematurely-born children compared to children born at term. Br J Ophthalmol 2012; 96(7):956-960; American Academy of Ophthalmology, Basic and Clinical Science Course 2016-2017; http://hdl.handle.net/10654/37383; instname:Universidad Militar Nueva Granada; reponame:Repositorio Institucional Universidad Militar Nueva Granada; repourl:https://repository.unimilitar.edu.co

الاتاحة: http://hdl.handle.net/10654/37383

المؤلفون: Fabio Daniel Padilla-Pantoja

المساهمون: Quijano Nieto, Bernardo alfonso, Perdomo Charry, Oscar Julián, González Osorio, Fabio Augusto, Grupo de Investigacion en Oftalmología Básica y Clínica

المصدر: Padilla-Pantoja, Fabio D
Repositorio UN
Universidad Nacional de Colombia
instacron:Universidad Nacional de Colombia

مصطلحات موضوعية: Machine Learning, Tomografía de coherencia óptica, Artificial intelligence, Macular edema, Optical coherence tomography, 617 - Cirugía, medicina regional, odontología, oftalmología, otología, audiología [610 - Medicina y salud], Tomografía Óptica, Edema macular, Tomography, Optical, Inteligencia artificial

وصف الملف: xiii, 50 páginas; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f3e4b248f9f4d782a04069ed17cb208
https://repositorio.unal.edu.co/handle/unal/80817