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| 1 |
Artificial neural network model for predicting sex using dental and orthodontic measurements
Sandra Anic-Milosevic, Natasa Medancic, Martina Calusic-Sarac, Jelena Dumancic, Hrvoje Brkic
Korean J Orthod.2023;53(3):194-204. Published online 2023 May 25
DOI: http://dx.doi.org/10.4041/kjod22.250
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| 2 |
A Prediction Model for Osteoporosis Risk Using a Machine-Learning Approach and Its Validation in a Large Cohort
Xuangao Wu, Sunmin Park
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| 3 |
Artificial Intelligence in Point-of-Care Testing
Adil I. Khan, Mazeeya Khan, Raheeb Khan
Ann Lab Med.2023;43(5):401-407. Published online 2023 April 21
DOI: http://dx.doi.org/10.3343/alm.2023.43.5.401
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| 4 |
Convolutional neural network of age-related trends digital radiographs of medial clavicle in a Thai population: a preliminary study
Phisamon Kengkard, Jirachaya Choovuthayakorn, Chollada Mahakkanukrauh, Nadee Chitapanarux, Pittayarat Intasuwan, Yanumart Malatong, Apichat Sinthubua, Patison Palee, Sakarat Na Lampang, Pasuk Mahakkanukrauh
Anat Cell Biol.2023;56(1):86-93. Published online 2023 March 31
DOI: http://dx.doi.org/10.5115/acb.22.205
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| 5 |
Application of a Multi-Layer Perceptron in Preoperative Screening for Orthognathic Surgery
Natkritta Chaiprasittikul, Bhornsawan Thanathornwong, Suchaya Pornprasertsuk-Damrongsri, Somchart Raocharernporn, Somporn Maponthong, Somchai Manopatanakul
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| 6 |
Deep learning algorithms for identifying 79 dental implant types
Hyun-Jun Kong, Jin-Yong Yoo, Sang-Ho Eom, Jun-Hyeok Lee
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| 7 |
Efficient Segmentation for Left Atrium With Convolution Neural Network Based on Active Learning in Late Gadolinium Enhancement Magnetic Resonance Imaging
Yongwon Cho, Hyungjoon Cho, Jaemin Shim, Jong-Il Choi, Young-Hoon Kim, Namkug Kim, Yu-Whan Oh, Sung Ho Hwang
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| 8 |
Accuracy of artificial intelligence-assisted landmark identification in serial lateral cephalograms of Class III patients who underwent orthodontic treatment and two-jaw orthognathic surgery
Mihee Hong, Inhwan Kim, Jin-Hyoung Cho, Kyung-Hwa Kang, Minji Kim, Su-Jung Kim, Yoon-Ji Kim, Sang-Jin Sung, Young Ho Kim, Sung-Hoon Lim, Namkug Kim, Seung-Hak Baek
Korean J Orthod.2022;52(4):287-297. Published online 2022 July 25
DOI: http://dx.doi.org/10.4041/kjod21.248
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| 9 |
Development and Comparison of Three Data Models for Predicting Diabetes Mellitus Using Risk Factors in a Nigerian Population
Oluwakemi Odukoya, Solomon Nwaneri, Ifedayo Odeniyi, Babatunde Akodu, Esther Oluwole, Gbenga Olorunfemi, Oluwatoyin Popoola, Akinniyi Osuntoki
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| 10 |
Accuracy of one-step automated orthodontic diagnosis model using a convolutional neural network and lateral cephalogram images with different qualities obtained from nationwide multi-hospitals
Sunjin Yim, Sungchul Kim, Inhwan Kim, Jae-Woo Park, Jin-Hyoung Cho, Mihee Hong, Kyung-Hwa Kang, Minji Kim, Su-Jung Kim, Yoon-Ji Kim, Young Ho Kim, Sung-Hoon Lim, Sang Jin Sung, Namkug Kim, Seung-Hak Baek
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| 11 |
Evaluation of VGG-16 deep learning algorithm for dental caries classification
Min-Ji Byon, Eun-Joo Jun, Ji-Soo Kim, Jae-Joon Hwang, Seung-Hwa Jeong
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| 12 |
Perceptron: Basic Principles of Deep Neural Networks
Eung-Hee Kim, Hun-Sung Kim
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| 13 |
Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status
Adnan Muhammad Shah, Xiangbin Yan, Abdul Qayyum
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| 14 |
Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomography-synthesized posteroanterior cephalometric images
Min-Jung Kim, Yi Liu, Song Hee Oh, Hyo-Won Ahn, Seong-Hun Kim, Gerald Nelson
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| 15 |
Prediction of HLA-DQ in Deceased Donors and its Clinical Significance in Kidney Transplantation
Soo-Kyung Kim, John Jeongseok Yang, Sang-Hyun Hwang, Heungsup Sung, Sung Shin, Sun-Young Ko, Heung-Bum Oh
Ann Lab Med.2021;41(2):190-197. Published online 2021 March 1
DOI: http://dx.doi.org/10.3343/alm.2021.41.2.190
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| 16 |
Identification of Sleep Apnea Severity Based on Deep Learning from a Short-term Normal ECG
Erdenebayar Urtnasan, Jong-Uk Park, Eun Yeon Joo, Kyoung Joung Lee
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| 17 |
The Future of Capsule Endoscopy: The Role of Artificial Intelligence and Other Technical Advancements
Young Joo Yang
Clin Endosc.2020;53(4):387-394. Published online 2020 July 16
DOI: http://dx.doi.org/10.5946/ce.2020.133
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| 18 |
From Traditional Statistical Methods to Machine and Deep Learning for Prediction Models
Jun Hyeok Lee, Dae Ryong Kang
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| 19 |
Lesion-Based Convolutional Neural Network in Diagnosis of Early Gastric Cancer
Hong Jin Yoon, Jie-Hyun Kim
Clin Endosc.2020;53(2):127-131. Published online 2020 March 30
DOI: http://dx.doi.org/10.5946/ce.2020.046
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| 20 |
Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy
Joonmyeong Choi, Keewon Shin, Jinhoon Jung, Hyun-Jin Bae, Do Hoon Kim, Jeong-Sik Byeon, Namku Kim
Clin Endosc.2020;53(2):117-126. Published online 2020 March 30
DOI: http://dx.doi.org/10.5946/ce.2020.054
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