The sixth edition of the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) was published in 2025. This review compared KMAP-DD 2025 with four major international clinical practice guidelines: Canadian Network for Mood and Anxiety Treatments Clinical Guidelines for the Management of Major Depressive Disorders, National Institute for Health and Care Excellence Depression Guideline, Royal Australian and New Zealand College of Psychiatrists Clinical Practice Guidelines for Mood Disorders, and British Association for Psychopharmacology Guideline. While KMAP-DD is based on expert consensus, and others on evidence-based methods, overall treatment strategies for depressive episodes were fairly consistent. Especially, KMAP-DD 2025 offers more structured recommendations in areas lacking strong evidence, such as premenstrual dysphoric disorder, perinatal depression, and depression with medical comorbidities. KMAP-DD 2025 also reflected Korean clinical practice patterns emphasizing rapid symptom relief and early use of combination strategies. Despite limitations as a consensus-based guideline, KMAP-DD 2025 complements evidence-based approaches and provides practical, situation-specific guidance for real-world clinical decision-making in Korea.

In patients with differentiated thyroid cancer (DTC), initial recurrence risk stratification based on clinical, histopathological, and perioperative data remains the key determinant for guiding management strategies during the first 1-2 years post-treatment. However, the adoption of ongoing risk stratification (ORS), which dynamically reassesses risk by integrating longitudinal clinical data and treatment response, enables more precise long-term prognostic assessment and facilitates highly individualized management. Building upon recent guidelines, the 2026 KTA guideline has been further refined by incorporating robust evidence from large-scale national cohorts and comprehensive systematic reviews. These updated recommendations outline contemporary concepts of ORS, risk-adapted TSH suppression targets, optimized surveillance modalities for recurrence detection, and disease-specific long-term follow-up strategies. Reflecting the paradigm shift toward de-escalated treatment, this revision integrates evolved perspectives on TSH suppression intensity, the clinical interpretation of thyroglobulin levels, and tailored follow-up intervals. These evidence-based recommendations aim to minimize unnecessary treatment and excessive surveillance in the large proportion of patients with excellent prognosis after initial therapy, while ensuring that each patient receives appropriately tailored and effective long-term management.

This paper describes the design, development, and implementation of a ubiquitous portfolio (u-portfolio) system aimed at enhancing clinical clerkship education at Inje University College of Medicine from 2016 to 2020. This developmental research employed involved a literature review of 69 papers on electronic portfolios (1990–2013), and as well as a series of focus group interviews and surveys with key stakeholders during the iterative design, evaluation, and revision process. The literature analysis revealed three main purposes of e-portfolios (learning, assessment, and showcase) and nine key elements for a multi-purpose e-portfolio (e.g., quality of student reflection, postgraduate continuous learning, and timely and frequent feedback). The system evolved from paper-based portfolios to address the standardization of students’ clerkship experiences across five teaching hospitals, incorporating competency-based education and enabling efficient data management to promote student learning, assessment, and feedback. Key challenges in transitioning from paper to electronic portfolios included infrastructure issues, user adaptation, and assessment standardization. The resulting u-portfolio system, which allowed the seamless integration of mobile devices, emphasized five core functions: enhanced real-time feedback, transparent evaluation with rubrics, improved reflection quality, real-time assessment and tracking, and mapping between learning and competency achievements. Initially implemented in the internal medicine clerkship in 2016, the system was gradually expanded to all core clerkships by 2018. The success of this system led to its adoption by 19 medical schools through a consortium organized by the Korea Association of Medical Colleges, with 31 schools now collaborating to enhance clerkships through the u-portfolio system.

This paper describes the design, development, and implementation of a ubiquitous portfolio (u-portfolio) system aimed at enhancing clinical clerkship education at Inje University College of Medicine from 2016 to 2020. This developmental research employed involved a literature review of 69 papers on electronic portfolios (1990–2013), and as well as a series of focus group interviews and surveys with key stakeholders during the iterative design, evaluation, and revision process. The literature analysis revealed three main purposes of e-portfolios (learning, assessment, and showcase) and nine key elements for a multi-purpose e-portfolio (e.g., quality of student reflection, postgraduate continuous learning, and timely and frequent feedback). The system evolved from paper-based portfolios to address the standardization of students’ clerkship experiences across five teaching hospitals, incorporating competency-based education and enabling efficient data management to promote student learning, assessment, and feedback. Key challenges in transitioning from paper to electronic portfolios included infrastructure issues, user adaptation, and assessment standardization. The resulting u-portfolio system, which allowed the seamless integration of mobile devices, emphasized five core functions: enhanced real-time feedback, transparent evaluation with rubrics, improved reflection quality, real-time assessment and tracking, and mapping between learning and competency achievements. Initially implemented in the internal medicine clerkship in 2016, the system was gradually expanded to all core clerkships by 2018. The success of this system led to its adoption by 19 medical schools through a consortium organized by the Korea Association of Medical Colleges, with 31 schools now collaborating to enhance clerkships through the u-portfolio system.

This paper describes the design, development, and implementation of a ubiquitous portfolio (u-portfolio) system aimed at enhancing clinical clerkship education at Inje University College of Medicine from 2016 to 2020. This developmental research employed involved a literature review of 69 papers on electronic portfolios (1990–2013), and as well as a series of focus group interviews and surveys with key stakeholders during the iterative design, evaluation, and revision process. The literature analysis revealed three main purposes of e-portfolios (learning, assessment, and showcase) and nine key elements for a multi-purpose e-portfolio (e.g., quality of student reflection, postgraduate continuous learning, and timely and frequent feedback). The system evolved from paper-based portfolios to address the standardization of students’ clerkship experiences across five teaching hospitals, incorporating competency-based education and enabling efficient data management to promote student learning, assessment, and feedback. Key challenges in transitioning from paper to electronic portfolios included infrastructure issues, user adaptation, and assessment standardization. The resulting u-portfolio system, which allowed the seamless integration of mobile devices, emphasized five core functions: enhanced real-time feedback, transparent evaluation with rubrics, improved reflection quality, real-time assessment and tracking, and mapping between learning and competency achievements. Initially implemented in the internal medicine clerkship in 2016, the system was gradually expanded to all core clerkships by 2018. The success of this system led to its adoption by 19 medical schools through a consortium organized by the Korea Association of Medical Colleges, with 31 schools now collaborating to enhance clerkships through the u-portfolio system.

This paper describes the design, development, and implementation of a ubiquitous portfolio (u-portfolio) system aimed at enhancing clinical clerkship education at Inje University College of Medicine from 2016 to 2020. This developmental research employed involved a literature review of 69 papers on electronic portfolios (1990–2013), and as well as a series of focus group interviews and surveys with key stakeholders during the iterative design, evaluation, and revision process. The literature analysis revealed three main purposes of e-portfolios (learning, assessment, and showcase) and nine key elements for a multi-purpose e-portfolio (e.g., quality of student reflection, postgraduate continuous learning, and timely and frequent feedback). The system evolved from paper-based portfolios to address the standardization of students’ clerkship experiences across five teaching hospitals, incorporating competency-based education and enabling efficient data management to promote student learning, assessment, and feedback. Key challenges in transitioning from paper to electronic portfolios included infrastructure issues, user adaptation, and assessment standardization. The resulting u-portfolio system, which allowed the seamless integration of mobile devices, emphasized five core functions: enhanced real-time feedback, transparent evaluation with rubrics, improved reflection quality, real-time assessment and tracking, and mapping between learning and competency achievements. Initially implemented in the internal medicine clerkship in 2016, the system was gradually expanded to all core clerkships by 2018. The success of this system led to its adoption by 19 medical schools through a consortium organized by the Korea Association of Medical Colleges, with 31 schools now collaborating to enhance clerkships through the u-portfolio system.

This paper describes the design, development, and implementation of a ubiquitous portfolio (u-portfolio) system aimed at enhancing clinical clerkship education at Inje University College of Medicine from 2016 to 2020. This developmental research employed involved a literature review of 69 papers on electronic portfolios (1990–2013), and as well as a series of focus group interviews and surveys with key stakeholders during the iterative design, evaluation, and revision process. The literature analysis revealed three main purposes of e-portfolios (learning, assessment, and showcase) and nine key elements for a multi-purpose e-portfolio (e.g., quality of student reflection, postgraduate continuous learning, and timely and frequent feedback). The system evolved from paper-based portfolios to address the standardization of students’ clerkship experiences across five teaching hospitals, incorporating competency-based education and enabling efficient data management to promote student learning, assessment, and feedback. Key challenges in transitioning from paper to electronic portfolios included infrastructure issues, user adaptation, and assessment standardization. The resulting u-portfolio system, which allowed the seamless integration of mobile devices, emphasized five core functions: enhanced real-time feedback, transparent evaluation with rubrics, improved reflection quality, real-time assessment and tracking, and mapping between learning and competency achievements. Initially implemented in the internal medicine clerkship in 2016, the system was gradually expanded to all core clerkships by 2018. The success of this system led to its adoption by 19 medical schools through a consortium organized by the Korea Association of Medical Colleges, with 31 schools now collaborating to enhance clerkships through the u-portfolio system.

Objective: Since its development in 2002 by the Korean College of Neuropsychopharmacology and the Korean Society for Affective Disorders, the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) has undergone five revisions. Methods: To improve survey efficiency, reflect general clinical practice, and facilitate comparisons with previous KMAP-DD revisions, the overall structure of the questionnaire was retained. The six sections of the questionnaire were as follows:1) pharmacological treatment strategies for major depressive disorder with and without psychotic features; 2) pharmacological treatment strategies for persistent depressive disorder and other depressive disorder subtypes; 3) consensus on treatment-resistant depression; 4) selection of an antidepressant in consideration of safety, adverse effects, and comorbid physical conditions; 5) treatment strategies for special populations (children/adolescents, elderly, and women); and 6) non-pharmacological biological therapies. First-, second-, and third-line treatment recommendations were statistically derived. Results: Compared to KMAP-DD 2021, only minor changes were noted, due to the limited introduction of new medications or treatment modalities. Nonetheless, notable shifts included an increased preference for atypical antipsychotics (AAPs), and higher preference of combination strategies involving AAPs and mood stabilizers, indicating a more proactive and intensive treatment trend in Korea. Conclusion KMAP-DD is expected to serve as a valuable clinical resource by providing expert consensus-based recommendations on specific treatment strategies and pharmacological options for major depressive disorders, thereby supporting the integration of real-world clinical practice with evidence-based medicine.

The increasing detection of papillary thyroid microcarcinoma (PTMC) has raised concerns about overtreatment.For low-risk PTMC, either immediate surgery or active surveillance (AS) can be considered. To support AS implementation, the Korean Thyroid Association convened a multidisciplinary panel and developed the first Korean guideline. AS is recommended to adults with pathologically proven Bethesda V-VI PTMC without clinical evidence of lymph node or distant metastasis, gross extrathyroidal extension, tracheal or recurrent laryngeal nerve invasion, or aggressive histology. Baseline assessment requires high‑resolution cervical ultrasound by experienced operators to rule out extrathyroidal extension, tracheal or recurrent laryngeal nerve invasion, and lymph node metastasis;contrast‑enhanced neck computed tomography is optional. Patient characteristics such as age, comorbidities, and capacity for long-term follow-up should be assessed. Shared decision-making should weigh the benefits and risks of surgery and AS, expected oncologic outcomes, complications, quality of life, anxiety, medical cost, and patient preference. Follow-up includes cervical ultrasound and thyroid function test every six months for two years, then annually. Disease progression, defined as significant tumor growth or newly detected nodal or distant metastasis, warrants surgery. Despite remaining uncertainties, this guideline offers a framework to ensure oncologic safety and support patient-centered active surveillance.

Purpose: This study examined longitudinal changes in interstitial lung abnormalities (ILAs) and predictors of clinically significant interstitial lung diseases (ILDs) in a screening population with ILAs. Materials and Methods: We retrieved 36891 low-dose chest CT records from screenings between January 2003 and May 2021. After identifying 101 patients with ILAs, the clinical findings, spirometry results, and initial and follow-up CT findings, including visual and artificial intelligence-based quantitative analyses, were compared between patients diagnosed with ILD (n = 23, 23%) and those who were not (n = 78, 77%). Logistic regression analysis was used to identify significant parameters for the clinical diagnosis of ILD. Results: Twenty-three patients (n = 23, 23%) were subsequently diagnosed with clinically significant ILDs at follow-up (mean, 8.7 years). Subpleural fibrotic ILAs on initial CT and signs of progression on follow-up CT were common in the ILD group (both p < 0.05). Logistic regression analysis revealed that emerging respiratory symptoms (odds ratio [OR], 5.56; 95% confidence interval [CI], 1.28–24.21; p = 0.022) and progression of ILAs at follow-up chest CT (OR, 4.07; 95% CI, 1.00–16.54; p = 0.050) were significant parameters for clinical diagnosis of ILD. Conclusion Clinically significant ILD was subsequently diagnosed in approximately one-quarter of the screened population with ILAs. Emerging respiratory symptoms and progression of ILAs at followup chest CT can be predictors of clinically significant ILDs.