Publications by authors named "Roshan Gunalan"

The paediatric orthopaedic expert system analyses and predicts the healing time of limb fractures in children using machine learning. As far we know, no published research on the paediatric orthopaedic expert system that predicts paediatric fracture healing time using machine learning has been published. The University Malaya Medical Centre (UMMC) offers paediatric orthopaedic data, comprises children under the age of 12 radiographs limb fractures with ages recorded from the date and time of initial trauma.

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Introduction: The aim of this study was to determine whether any change in degree of medial tibia plateau depression after extra-articular mechanical realignment surgery was observed in children with Blount's disease who presented late for treatment in their adolescence and young adulthood.

Methods: We retrospectively reviewed the radiographic parameters of 22 patients (32 lower limbs) with Blount's disease who underwent gradual correction of deformity using a ring external fixator without surgical elevation of the depressed medial tibial plateau at a mean age of 15 (range 10-37) years. Preoperative and postoperative angles of depressed medial tibia plateau (ADMTPs) of the same patient were compared for any significant change.

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Purpose: Management of Blount disease in adolescents and young adults is complex and associated with high risk of morbidities. Gradual correction with external fixator can minimize soft tissue injury and allow subsequent adjustment in degree of correction. This study investigates the surgical outcome and complication rate of gradual correction of neglected Blount disease through single-level extra-articular corticotomy.

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Purpose: To compare the hindfoot correction using clinical and ultrasonography assessment in clubfoot patients undergoing Achilles tendon tenotomy with patients corrected with casting alone.

Method: A prospective observational study on idiopathic clubfoot patients less than 3 months old. Clinical assessment was done using hindfoot Pirani score and measurement of ankle dorsiflexion.

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Assessing skeletal age is a subjective and tedious examination process. Hence, automated assessment methods have been developed to replace manual evaluation in medical applications. In this study, a new fully automated method based on content-based image retrieval and using extreme learning machines (ELM) is designed and adapted to assess skeletal maturity.

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Background: Recently, determination of skeletal age, defined as the assessment of bone age, has rapidly become an important task between forensic experts and radiologists. The Greulich-Pyle (GP) atlas is one of the most frequently used methods for the assessment of skeletal age around the world. After presentation of the GP approach for the estimation of the bone age, much research has been conducted to examine the usability of this method in various geographic or ethnic categories.

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