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Commentary on “The Utility and Feasibility of Smart Glasses in Spine Surgery: Minimizing Radiation Exposure During Percutaneous Pedicle Screw Insertion”

Liawrungrueang W

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Response to: Management of Traumatic Spinal Fracture in the Coronavirus Disease 2019 Situation

Liawrungrueang W, Sornsa-ard T, Niramitsantiphong A

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Response to: Management of Traumatic Spinal Fracture in the Coronavirus Disease 2019 Situation

Sornsa-ard T, Niramitsantiphong A, Liawrungrueang W

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Response to: Management of Traumatic Spinal Fracture in the Coronavirus Disease 2019 Situation

Liawrungrueang W, Sornsa-ard T, Niramitsantiphong A

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Commentary on “The Role and Clinical Outcomes of Endoscopic Spine Surgery of Treating Spinal Metastases; Outcomes of 29 Cases From 8 Countries”

Liawrungrueang W, Kotheeranurak V

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Management of Traumatic Spinal Fracture in the Coronavirus Disease 2019 Situation

Sornsa-ard T, Niramitsantiphong A, Liawrungrueang W

The coronavirus outbreak was labeled a pandemic by the World Health Organization in 2020. Patients who require spine surgery should receive coronavirus disease 2019 (COVID-19) screening to prevent nosocomial cross-infection...
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The Intersection Between Lateral Mass and Inferomedial Edge of the C1 Posterior Arch: A Reference Point for C1 Lateral Mass Screw Insertion

Bunmaprasert T, Puangkaew W, Sugandhavesa N, Liawrungrueang W, Riew KD

Objective: To determine the ideal Atlas (C1) lateral mass screw placement and trajectory using the intersection between the lateral mass and inferomedial edge of the posterior arch as an easily...
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Current Trends in Artificial Intelligence-Assisted Spine Surgery: A Systematic Review

Liawrungrueang W, Cho ST, Sarasombath P, Kim I, Kim JH

This systematic review summarizes existing evidence and outlines the benefits of artificial intelligence-assisted spine surgery. The popularity of artificial intelligence has grown significantly, demonstrating its benefits in computer-assisted surgery and...
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Artificial Intelligence Detection of Cervical Spine Fractures Using Convolutional Neural Network Models

Liawrungrueang W, Han I, Cholamjiak W, Sarasombath P, Riew KD

Objective: To develop and evaluate a technique using convolutional neural networks (CNNs) for the computer-assisted diagnosis of cervical spine fractures from radiographic x-ray images. By leveraging deep learning techniques, the...
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Artificial neural networks for the detection of odontoid fractures using the Konstanz Information Miner Analytics Platform

Liawrungrueang W, Cho ST, Kotheeranurak V, Pun A, Jitpakdee K, Sarasombath P

Study Design: An experimental study. Purpose: This study aimed to investigate the potential use of artificial neural networks (ANNs) in the detection of odontoid fractures using the Konstanz Information Miner (KNIME)...
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Clinical and Radiographic Outcomes of Cervical Disc Replacement Versus Posterior Endoscopic Cervical Decompression: A Matched-Pair Comparison Analysis

Kotheeranurak V, Jitpakdee K, Lewandrowski KU, Lin GX, Singhatanadgige W, Limthongkul W, Yingsakmongkol W, Kim JS, Liawrungrueang W

Objective: To compare clinical and radiographic outcomes between 2 motion preservation surgeries, cervical disc replacement (CDR) and posterior endoscopic cervical decompression (PECD), for unilateral cervical radiculopathy. Methods: Between February 2018 and...
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