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Changes in a facial recognition algorithm following different types of orthognathic surgery: a comparative study

Kim WY, Han SJ

Objectives: Contemporary biometric technologies have been gaining traction in both public and private security sectors. Facial recognition is the most commonly used biometric technology for this purpose. We aimed to...
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Predicting patient experience of Invisalign treatment: An analysis using artificial neural network

Xu L, Mei L, Lu R, Li Y, Li H, Li Y

Objective: Poor experience with Invisalign treatment affects patient compliance and, thus, treatment outcome. Knowing the potential discomfort level in advance can help orthodontists better prepare the patient to overcome the...
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Multiple biomarkers are more accurate than a combination of carbohydrate antigen 125 and human epididymis protein 4 for ovarian cancer screening

Kang KN, Koh EY, Jang JY, Kim CW

Objective The objective of this study was to compare and evaluate the diagnostic value of serum carbohydrate antigen 125 (CA125) and/or human epididymis protein 4 (HE4) and a panel of novel...
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Successful use of C-MAC® video laryngoscope for unexpected severe airway narrowing during anesthesia induction in a patient with a moderate-sized laryngeal tumor

Hong Sm, Sung Hy, Kang Bj

Periglottic masses can be treated by laser excision, simple electrocau tery, or wide excision, including neck dissection. Smooth induction of anesthesia and airway management is a challenge in these patients....
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Korean Medication Algorithm Project for Bipolar Disorder 2022: Manic Episode

Woo YS, Bahk WM, Jeong JH, Yoon BH, Seo JS, Choo IH, Yang CM, Kim W, Lee JG, Shim SH, Jung MH, Jon DI, Park SY, Sohn I, Kim MD

Objectives The Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP) is a consensus-based medication guideline. To reflect advances in pharmacotherapy for bipolar disorders, we updated KMAP-BP to provide more timely...
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Korean Medication Algorithm Project for Bipolar Disorder 2022: Overview

Kim W, Bahk WM, Woo YS, Jeong JH, Seo JS, Choo IH, Yang CM, Lee JG, Shim SH, Jung MH, Jon DI, Park SY, Sohn I, Kim MD, Yoon BH

Objectives The pharmacotherapy of bipolar disorder is complex. A treatment guideline or algorithm can help clinicians implement better practices and clinical decisions. Therefore, the Korean Medication Algorithm Project for Bipolar...
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Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study

MohammadRahimi H, Motamadian SR, Nadimi M, HassanzadehSamani S, Minabi MAS, Mahmoudinia E, Y. Lee V, Rohban MH

Objective: This study aimed to present and evaluate a new deep learning model for determining cervical vertebral maturation (CVM) degree and growth spurts by analyzing lateral cephalometric radiographs. Methods: The...
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Use of automated artificial intelligence to predict the need for orthodontic extractions

Del Real A, Del Real O, Sardina S, Oyonarte R

Objective: To develop and explore the usefulness of an artificial intelligence system for the prediction of the need for dental extractions during orthodontic treatments based on gender, model variables, and...
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Efficacy and Safety of Self-Titration Algorithms of Insulin Glargine 300 units/mL in Individuals with Uncontrolled Type 2 Diabetes Mellitus (The Korean TITRATION Study): A Randomized Controlled Trial

Bae JH, Ahn CH, Yang YS, Moon SJ, Kwak SH, Jung HS, Park KS, Cho YM

Background: To compare the efficacy and safety of two insulin self-titration algorithms, Implementing New Strategies with Insulin Glargine for Hyperglycemia Treatment (INSIGHT) and EDITION, for insulin glargine 300 units/mL (Gla-300)...
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A clinical algorithm to determine target blood pressure in the elderly: evidence and limitations from a clinical perspective

Shin J, Kim Ki

As the elderly population is growing rapidly, management of hypertension in South Korea faces major challenges because the proportion of elderly hypertension patients is also increasing. The characteristics of this...
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2021 Clinical Practice Guidelines for Diabetes: Pharmacotherapy and the Korean Diabetes Association Support System

Hur KY

The most important change introduced in the pharmacotherapy session for the 2021 Clinical Practice Guidelines for Diabetes is the recommendation of two different strategies according to the patient’s condition. One...
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Dosimetric Comparison between Varian Halcyon Analytical Anisotropic Algorithm and Acuros XB Algorithm for Planning of RapidArc Radiotherapy of Cervical Carcinoma

Mbewe J, Shiba S

Purpose: The Halcyon radiotherapy platform at Groote Schuur Hospital was delivered with a factory-configured analytical anisotropic algorithm (AAA) beam model for dose calculation. In a recent system upgrade, the Acuros...
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Evaluation of five algorithms in predicting the sublocalisation of right ventricular outflow tract arrhythmia (RVOTA) when compared to 3D electroanatomical mapping origin

Prisecaru R, Leatu C,  Riahi L, Costache V

Purpose: To compare the predictive accuracy of five different algorithms as verified by successful ablation site using 3D electroanatomical non-contact mapping in patients with symptomatic and asymptomatic but high ventricular...
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Korean Medication Algorithm Project for Depressive Disorder 2021 (VI): Non-Pharmacological Biological Treatments

Jeong JH, Woo YS, Bahk WM, Wang SM, Seo JS, Park YM, Kim W, Shim SH, Lee JG, Jang SH, Yang CM, Jung MH, Sung HM, Choo IH, Yoon BH, Lee SY, Jon DI, Min KJ

Objectives The Korean Medication Algorithm Project for Depressive Disorder 2021 (KMAP-DD 2021) was made to update new researches and data. This study focused on non-pharmacological biological treatments. Methods Ninety-seven psychiatrists with...
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Korean Medication Algorithm Project for Depressive Disorder 2021 (IV): Female and Elderly

Wang SM, Bahk WM, Woo YS, Seo JS, Park YM, Kim W, Jeong JH, Shim SH, Lee JG, Jang SH, Yang CM, Jung MH, Sung HM, Choo IH, Yoon BH, Lee SY, Jon DI, Min KJ

Objectives An expert consensus guideline for the treatment of depressive disorder, the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD), was first established in 2002 and updated in 2017. To...
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Korean Medication Algorithm for Depressive Disorder 2021, Fourth Revision: An Executive Summary

Seo JS, Bahk WM, Woo YS, Park YM, Kim W, Jeong JH, Shim SH, Lee JG, Jang SH, Yang CM, Wang SM, Jung MH, Sung HM, Choo IH, Yoon BH, Lee SY, Jon DI, Min KJ

Objective: In the 19 years since the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders developed the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) in 2002,...
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Korean Medication Algorithm Project for Depressive Disorder 2021 (III): Child and Adolescent

Yang CM, Shim SH, Bahk WM, Woo YS, Jeong JH, Wang SM, Kim W, Seo JS, Lee JG, Park YM, Jang SH, Jung MH, Sung HM, Choo IH, Yoon BH, Lee SY, Jon DI, Min KJ

Objectives The Korean Medication Algorithm Project for Depressive Disorder 2021 (KMAP-DD 2021) was a revision of previous works. The main purpose of the current study was to amend guidelines for...
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Korean Medication Algorithm Project for Depressive Disorder 2021 (II): The Subtypes of Depression

Park YM, Seo JS, Woo YS, Bahk WM, Kim W, Jeong JH, Shim SH, Lee JG, Jang SH, Wang SM, Jung MH, Sung HM, Choo LH, Yoon BH, Lee SY, Jon DI, Min KJ

Objectives The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) was developed in 2002 and revised in 2006, 2012, 2017. In 2021, the fifth edition was published. This edition reflected new...
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Korean Medication Algorithm Project for Depressive Disorder 2021 (I): Treatment Strategies for Major Depressive Episode

Woo YS, Bahk WM, Seo JS, Park YM, Kim W, Jeong JH, Shim SH, Lee JG, Jang SH, Wang SM, Jung MH, Sung HM, Choo IH, Yoon BH, Lee SY, Jon DI, Min KJ

Objectives The Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) is a consensus-based medication guideline. To reflect advances in pharmacotherapy for depressive disorders, we have undertaken a fourth revision of...
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Algorithmic approach to the lymphatic leak after vascular reconstruction: a systematic review

Nicksic PJ, Condit KM, Nayar HS, Michelotti BF

Background To date, there are no consensus guidelines for management of lymphatic leak in groin vascular reconstruction patients. The goal of this study is to review the relevant literature to...
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