Choline is an essential nutrient that serves as a fundamental structural component of membrane phospholipids and plays critical roles in one-carbon metabolism, acetylcholine synthesis, lipid transport, and signal transduction. Although it is synthesized endogenously in the human body, the amount produced may not be sufficient to meet the nutrient's total biological demand, necessitating consistent dietary intake from various food sources. Since its recognition as an essential nutrient by the Institute of Medicine (U.S.) in 1998, several countries and regions, including Australia and New Zealand, Europe, and China, have established specific Dietary Reference Intakes (DRIs) to monitor and manage choline intake among their respective populations. In response to the growing demand for national dietary guidelines, the Committee for the Establishment and Revision of the 2025 Dietary Reference Intakes for Koreans (KDRIs) conducted a thorough, systematic review. This initiative was undertaken to re-evaluate the necessity and strength of scientific evidence supporting DRIs for choline in the Korean population. Furthermore, the committee analyzed the distribution of actual choline intake among healthy Koreans by applying a newly developed choline database to the recent five-year data from the Korea National Health and Nutrition Examination Survey. By comprehensively reviewing both the calculated reference values based on existing evidence and the actual intake distribution, the committee successfully established the Adequate Intake and Tolerable Upper Intake Level for choline across different age and gender groups in Korea. This review details the development process and core components of the KDRIs for choline and presents the key issues to be addressed in future revisions of these standards.

Since the role of the liver in metabolic dysfunction, including type 2 diabetes mellitus, was demonstrated, studies on non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) have shown associations between fatty liver disease and other metabolic diseases. Unlike the exclusionary diagnostic criteria of NAFLD, MAFLD diagnosis is based on the presence of metabolic dysregulation in fatty liver disease. Renaming NAFLD as MAFLD also introduced simpler diagnostic criteria. In 2023, a new nomenclature, steatotic liver disease (SLD), was proposed. Similar to MAFLD, SLD diagnosis is based on the presence of hepatic steatosis with at least one cardiometabolic dysfunction. SLD is categorized into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related/-associated liver disease, alcoholrelated liver disease, specific etiology SLD, and cryptogenic SLD. The term MASLD has been adopted by a number of leading national and international societies due to its concise diagnostic criteria, exclusion of other concomitant liver diseases, and lack of stigmatizing terms. This article reviews the diagnostic criteria, clinical relevance, and differences among NAFLD, MAFLD, and MASLD from a diabetologist’s perspective and provides a rationale for adopting SLD/MASLD in the Fatty Liver Research Group of the Korean Diabetes Association.

Since the role of the liver in metabolic dysfunction, including type 2 diabetes mellitus, was demonstrated, studies on non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) have shown associations between fatty liver disease and other metabolic diseases. Unlike the exclusionary diagnostic criteria of NAFLD, MAFLD diagnosis is based on the presence of metabolic dysregulation in fatty liver disease. Renaming NAFLD as MAFLD also introduced simpler diagnostic criteria. In 2023, a new nomenclature, steatotic liver disease (SLD), was proposed. Similar to MAFLD, SLD diagnosis is based on the presence of hepatic steatosis with at least one cardiometabolic dysfunction. SLD is categorized into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related/-associated liver disease, alcoholrelated liver disease, specific etiology SLD, and cryptogenic SLD. The term MASLD has been adopted by a number of leading national and international societies due to its concise diagnostic criteria, exclusion of other concomitant liver diseases, and lack of stigmatizing terms. This article reviews the diagnostic criteria, clinical relevance, and differences among NAFLD, MAFLD, and MASLD from a diabetologist’s perspective and provides a rationale for adopting SLD/MASLD in the Fatty Liver Research Group of the Korean Diabetes Association.

Background: A clear and precise definition of the “intended use” in developing new medical devices can determine the success of entering the healthcare market. For this, practical collaboration between the clinical and engineering experts is necessary, and an appropriate tool is required for effective information collection and decision-making in the process. Methods: The Korean Academy of Medical Sciences, in cooperation with the Korean Medical Device Development Fund, implemented the Healthcare Experts’ Advisory Unit and Support (HAUS) program to match advisory clinical experts in medical device development projects. Three and five collaborative academic conferences were held in 2022 and 2023 to raise awareness of the HAUS program. In the consultation meeting, checklists were used to facilitate communications and satisfaction surveys were conducted afterward. Then, the results of the consultation meetings were compiled to build an integrated document. Results: The HAUS program was conducted with a gradually increasing number of consultation sessions from 31 in 2021 to 128 in 2023. The medical device development teams (development teams) expressed a higher level of satisfaction (91.4% to 100%) compared to the advisors (clinical experts) (78.6% to 100%) across the survey items. Based on the experiences and observations of the HAUS consultation meetings, the “Clinical Unmet Needs-based Intended Use Establishment (CLUE) templates” were developed, which were purposes to improve communication efficiency and to support a systematic approach in establishing the intended use. The CLUE process comprises four main stages for processing:Stage 1, Initial Concept; Stage 2, Expert Consultation; Stage 3, Decision-making; and Stage 4, Intended Use. Conclusion The HAUS program seemed to be helpful for the development teams by providing opinions of clinical experts. And the resultant product, the CLUE templates have been proposed to facilitate collaboration between the development teams and the advisors and to define robust clinical intended use.

Since the role of the liver in metabolic dysfunction, including type 2 diabetes mellitus, was demonstrated, studies on non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) have shown associations between fatty liver disease and other metabolic diseases. Unlike the exclusionary diagnostic criteria of NAFLD, MAFLD diagnosis is based on the presence of metabolic dysregulation in fatty liver disease. Renaming NAFLD as MAFLD also introduced simpler diagnostic criteria. In 2023, a new nomenclature, steatotic liver disease (SLD), was proposed. Similar to MAFLD, SLD diagnosis is based on the presence of hepatic steatosis with at least one cardiometabolic dysfunction. SLD is categorized into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related/-associated liver disease, alcoholrelated liver disease, specific etiology SLD, and cryptogenic SLD. The term MASLD has been adopted by a number of leading national and international societies due to its concise diagnostic criteria, exclusion of other concomitant liver diseases, and lack of stigmatizing terms. This article reviews the diagnostic criteria, clinical relevance, and differences among NAFLD, MAFLD, and MASLD from a diabetologist’s perspective and provides a rationale for adopting SLD/MASLD in the Fatty Liver Research Group of the Korean Diabetes Association.

Background: A clear and precise definition of the “intended use” in developing new medical devices can determine the success of entering the healthcare market. For this, practical collaboration between the clinical and engineering experts is necessary, and an appropriate tool is required for effective information collection and decision-making in the process. Methods: The Korean Academy of Medical Sciences, in cooperation with the Korean Medical Device Development Fund, implemented the Healthcare Experts’ Advisory Unit and Support (HAUS) program to match advisory clinical experts in medical device development projects. Three and five collaborative academic conferences were held in 2022 and 2023 to raise awareness of the HAUS program. In the consultation meeting, checklists were used to facilitate communications and satisfaction surveys were conducted afterward. Then, the results of the consultation meetings were compiled to build an integrated document. Results: The HAUS program was conducted with a gradually increasing number of consultation sessions from 31 in 2021 to 128 in 2023. The medical device development teams (development teams) expressed a higher level of satisfaction (91.4% to 100%) compared to the advisors (clinical experts) (78.6% to 100%) across the survey items. Based on the experiences and observations of the HAUS consultation meetings, the “Clinical Unmet Needs-based Intended Use Establishment (CLUE) templates” were developed, which were purposes to improve communication efficiency and to support a systematic approach in establishing the intended use. The CLUE process comprises four main stages for processing:Stage 1, Initial Concept; Stage 2, Expert Consultation; Stage 3, Decision-making; and Stage 4, Intended Use. Conclusion The HAUS program seemed to be helpful for the development teams by providing opinions of clinical experts. And the resultant product, the CLUE templates have been proposed to facilitate collaboration between the development teams and the advisors and to define robust clinical intended use.

Objective: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. Materials and Methods: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. Results: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. Conclusion The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.

Since the role of the liver in metabolic dysfunction, including type 2 diabetes mellitus, was demonstrated, studies on non-alcoholic fatty liver disease (NAFLD) and metabolic dysfunction-associated fatty liver disease (MAFLD) have shown associations between fatty liver disease and other metabolic diseases. Unlike the exclusionary diagnostic criteria of NAFLD, MAFLD diagnosis is based on the presence of metabolic dysregulation in fatty liver disease. Renaming NAFLD as MAFLD also introduced simpler diagnostic criteria. In 2023, a new nomenclature, steatotic liver disease (SLD), was proposed. Similar to MAFLD, SLD diagnosis is based on the presence of hepatic steatosis with at least one cardiometabolic dysfunction. SLD is categorized into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-related/-associated liver disease, alcoholrelated liver disease, specific etiology SLD, and cryptogenic SLD. The term MASLD has been adopted by a number of leading national and international societies due to its concise diagnostic criteria, exclusion of other concomitant liver diseases, and lack of stigmatizing terms. This article reviews the diagnostic criteria, clinical relevance, and differences among NAFLD, MAFLD, and MASLD from a diabetologist’s perspective and provides a rationale for adopting SLD/MASLD in the Fatty Liver Research Group of the Korean Diabetes Association.

Background: A clear and precise definition of the “intended use” in developing new medical devices can determine the success of entering the healthcare market. For this, practical collaboration between the clinical and engineering experts is necessary, and an appropriate tool is required for effective information collection and decision-making in the process. Methods: The Korean Academy of Medical Sciences, in cooperation with the Korean Medical Device Development Fund, implemented the Healthcare Experts’ Advisory Unit and Support (HAUS) program to match advisory clinical experts in medical device development projects. Three and five collaborative academic conferences were held in 2022 and 2023 to raise awareness of the HAUS program. In the consultation meeting, checklists were used to facilitate communications and satisfaction surveys were conducted afterward. Then, the results of the consultation meetings were compiled to build an integrated document. Results: The HAUS program was conducted with a gradually increasing number of consultation sessions from 31 in 2021 to 128 in 2023. The medical device development teams (development teams) expressed a higher level of satisfaction (91.4% to 100%) compared to the advisors (clinical experts) (78.6% to 100%) across the survey items. Based on the experiences and observations of the HAUS consultation meetings, the “Clinical Unmet Needs-based Intended Use Establishment (CLUE) templates” were developed, which were purposes to improve communication efficiency and to support a systematic approach in establishing the intended use. The CLUE process comprises four main stages for processing:Stage 1, Initial Concept; Stage 2, Expert Consultation; Stage 3, Decision-making; and Stage 4, Intended Use. Conclusion The HAUS program seemed to be helpful for the development teams by providing opinions of clinical experts. And the resultant product, the CLUE templates have been proposed to facilitate collaboration between the development teams and the advisors and to define robust clinical intended use.

Background: A clear and precise definition of the “intended use” in developing new medical devices can determine the success of entering the healthcare market. For this, practical collaboration between the clinical and engineering experts is necessary, and an appropriate tool is required for effective information collection and decision-making in the process. Methods: The Korean Academy of Medical Sciences, in cooperation with the Korean Medical Device Development Fund, implemented the Healthcare Experts’ Advisory Unit and Support (HAUS) program to match advisory clinical experts in medical device development projects. Three and five collaborative academic conferences were held in 2022 and 2023 to raise awareness of the HAUS program. In the consultation meeting, checklists were used to facilitate communications and satisfaction surveys were conducted afterward. Then, the results of the consultation meetings were compiled to build an integrated document. Results: The HAUS program was conducted with a gradually increasing number of consultation sessions from 31 in 2021 to 128 in 2023. The medical device development teams (development teams) expressed a higher level of satisfaction (91.4% to 100%) compared to the advisors (clinical experts) (78.6% to 100%) across the survey items. Based on the experiences and observations of the HAUS consultation meetings, the “Clinical Unmet Needs-based Intended Use Establishment (CLUE) templates” were developed, which were purposes to improve communication efficiency and to support a systematic approach in establishing the intended use. The CLUE process comprises four main stages for processing:Stage 1, Initial Concept; Stage 2, Expert Consultation; Stage 3, Decision-making; and Stage 4, Intended Use. Conclusion The HAUS program seemed to be helpful for the development teams by providing opinions of clinical experts. And the resultant product, the CLUE templates have been proposed to facilitate collaboration between the development teams and the advisors and to define robust clinical intended use.