Výsledky vyhledávání - "Guillermo Droppelmann"

Akademický článek

Deep learning models for tendinopathy detection: a systematic review and meta-analysis of diagnostic tests

Autor: Guillermo Droppelmann, Constanza Rodríguez, Dali Smague, Carlos Jorquera, Felipe Feijoo

Publikováno v: EFORT Open Reviews, Vol 9, Iss 10, Pp 941-952 (2024)

Purpose: Different deep-learning models have been employed to aid in the diagnosis of musculoskeletal pathologies. The diagnosis of tendon pathologies could particularly benefit from applying these technologies. The objective of this study is to asse

Externí odkaz: https://doaj.org/article/777408d4785042d38c2b23ec2a9d6f28

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Akademický článek

Automated segmentation and classification of supraspinatus fatty infiltration in shoulder magnetic resonance image using a convolutional neural network

Autor: Juan Pablo Saavedra, Guillermo Droppelmann, Carlos Jorquera, Felipe Feijoo

Publikováno v: Frontiers in Medicine, Vol 11 (2024)

BackgroundGoutallier’s fatty infiltration of the supraspinatus muscle is a critical condition in degenerative shoulder disorders. Deep learning research primarily uses manual segmentation and labeling to detect this condition. Employing unsupervise

Externí odkaz: https://doaj.org/article/504d5f93a8e0487aa6dbe9dcacccc530

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Akademický článek

Artificial intelligence in diagnosing upper limb musculoskeletal disorders: a systematic review and meta-analysis of diagnostic tests

Autor: Guillermo Droppelmann, Constanza Rodríguez, Carlos Jorquera, Felipe Feijoo

Publikováno v: EFORT Open Reviews, Vol 9, Iss 4, Pp 241-251 (2024)

Purpose: The integration of artificial intelligence (AI) in radiology has revolutionized diagnostics, optimizing precision and decision-making. Specifically in musculoskeletal imaging, AI tools can improve accuracy for upper extremity pathologies. Th

Externí odkaz: https://doaj.org/article/0c177c83243149f294b26beb205ec2c2

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Akademický článek

High-accuracy detection of supraspinatus fatty infiltration in shoulder MRI using convolutional neural network algorithms

Autor: Juan Pablo Saavedra, Guillermo Droppelmann, Nicolás García, Carlos Jorquera, Felipe Feijoo

Publikováno v: Frontiers in Medicine, Vol 10 (2023)

BackgroundThe supraspinatus muscle fatty infiltration (SMFI) is a crucial MRI shoulder finding to determine the patient’s prognosis. Clinicians have used the Goutallier classification to diagnose it. Deep learning algorithms have been demonstrated

Externí odkaz: https://doaj.org/article/9fa725afc21b475cafb52c031e4d343f

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Akademický článek

Lateral elbow tendinopathy and artificial intelligence: Binary and multilabel findings detection using machine learning algorithms

Autor: Guillermo Droppelmann, Manuel Tello, Nicolás García, Cristóbal Greene, Carlos Jorquera, Felipe Feijoo

Publikováno v: Frontiers in Medicine, Vol 9 (2022)

BackgroundUltrasound (US) is a valuable technique to detect degenerative findings and intrasubstance tears in lateral elbow tendinopathy (LET). Machine learning methods allow supporting this radiological diagnosis.AimTo assess multilabel classificati

Externí odkaz: https://doaj.org/article/132f6de616fa4ffa97134ee5404f01e4

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A New Test for the Advanced Diagnosis of Lateral Elbow Tendinopathy with Concomitant Intrasubstance Tear: Failure to Resist Extension Effort (the Free Test)

Autor: Cristóbal Greene, Guillermo Droppelmann, Nicolás García, Carlos Jorquera, Arturo Verdugo

Publikováno v: Orthopedic Research and Reviews. 14:495-503

CristÃ³bal Greene,1,2 Guillermo Droppelmann,1,3,4 NicolÃ¡s GarcÃa,1 Carlos Jorquera,5 Arturo Verdugo1 1Centro de Medicina Ejercicio Deporte y Salud, ClÃnica MEDS, Santiago, Chile; 2Facultad de Medicina, Universidad Diego Portales, Santiago,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd9047499b2c2c522dcc45ba9e7d24e7
https://doi.org/10.2147/orr.s364050

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Diagnóstico de roturas del manguito rotador por ecografía y resonancia magnética: ¿La morfología acromial influye en los resultados?

Autor: Patricio Meleán, Walter Rojas, Mauricio Agloni, Guillermo Droppelmann

Publikováno v: Revista Chilena de Ortopedia y Traumatología. 63:e77-e82

Resumen Introducción Actualmente no existen estudios que evalúen la concordancia entre la ecografía (ECO) y la resonancia magnética (RM) observando parámetros como el índice acromial (IA) y el ángulo crítico (AC) para roturas del manguito rot

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33a58a8f99eaeae4f7ff3aedd02add38
https://doi.org/10.1055/s-0042-1750094

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