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Patterns of Medical Utilization in Children, Adolescents, and Young Adults With Life-Limiting Conditions in Korea: A Cohort Study Based on National Health Insurance Data

Lee S, Kim B, Choi JY, Park SJ, Lee JA, Kim CH, Park B, Park B

Background: Children, adolescents, and young adults (CAYAs) with severe illnesses require intensive treatment, often relying on medical devices and advanced medical services. Modern medical technology has improved the lifespans of these...
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Appreciation of Invisible Intellectual Contributions

Yoo JH

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Consensus Statements on Tinnitus Assessment and Treatment Outcome Evaluation: A Delphi Study by the Korean Tinnitus Study Group

Choo OS, Park JM, Park E, Chang J, Lee MY, Lee HY, Moon IS, Song JJ, Lee KY, Song JJ, Nam EC, Park SN, Shim HJ, Rah YC, Seo JH

Background: Tinnitus is a multifactorial condition with no universally accepted assessment guidelines. The Korean Tinnitus Study Group previously established consensus statements on the definition, classification, and diagnostic tests for tinnitus....
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Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity

Doskaliuk B, Zimba O, Yessirkepov M, Klishch I, Yatsyshyn R

The rapid advancement of artificial intelligence (AI) has transformed various aspects of scientific research, including academic publishing and peer review. In recent years, AI tools such as large language models...
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Age-Stratified Risk of Severe COVID-19 for People With Disabilities in Korea: Nationwide Study Considering Disability Type

Ryu B, Jang H, Kim J, Cho Si, Kim SS

Background: Understanding disparities in severe coronavirus disease 2019 (COVID-19) outcomes between people with disabilities (PwD) and people without disabilities (PwoD) is crucial, particularly when considering the heterogeneity within PwD and...
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Lifestyle Changes and Remission in Patients With New-Onset Type 2 Diabetes: A Nationwide Cohort Study

Kim J, Kim B, Kim MK, Baek KH, Song KH, Han K, Kwon HS

Background: Lifestyle-related factors have been studied as a fundamental aspect in the onset and progression of type 2 diabetes mellitus. However, behavioral factors are easily overlooked in clinical practice. This...
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Development of a Machine LearningPowered Optimized Lung Allocation System for Maximum Benefits in Lung Transplantation: A Korean National Data

Ha M, Cho WH, So MW, Lee D, Kim YH, Yeo HJ

Background: An ideal lung allocation system should reduce waiting list deaths, improve transplant survival, and ensure equitable organ allocation. This study aimed to develop a novel lung allocation score (LAS)...
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