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  1. Article ; Online: Dark Data in Real-World Evidence: Challenges, Implications, and the Imperative of Data Literacy in Medical Research.

    Kim, Hun-Sung

    Journal of Korean medical science

    2024  Volume 39, Issue 9, Page(s) e92

    Abstract: Randomized controlled trials (RCTs) and real-world evidence (RWE) studies are crucial and complementary in generating clinical evidence. RCTs provide controlled settings to validate the clinical effect of specific drugs or medical devices, while RWE ... ...

    Abstract Randomized controlled trials (RCTs) and real-world evidence (RWE) studies are crucial and complementary in generating clinical evidence. RCTs provide controlled settings to validate the clinical effect of specific drugs or medical devices, while RWE integrates extrinsic factors, encompassing external influences affecting real-world scenarios, thus challenging RCT results in practical applications. In this study, we explore the impact of extrinsic factors on RWE outcomes, focusing on "dark data," which refers to data collected but not used or excluded from the analyses. Dark data can arise in many ways during research process, from selecting study samples to data collection and analysis. However, even unused or unanalyzed dark data hold potential insights, providing a comprehensive view of clinical contexts. Extrinsic factors lead to divergent RWE outcomes that could differ from RCTs beyond statistical correction's scope. Two main types of dark data exist: "known-unknown" and "unknown-unknown." The distinction between these dark data types highlights RWE's complexity. The transformation of
    MeSH term(s) Humans ; Literacy ; Biomedical Research ; Data Collection
    Language English
    Publishing date 2024-03-11
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2024.39.e92
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Drug Repositioning: Exploring New Indications for Existing Drug-Disease Relationships.

    Kim, Hun-Sung

    Endocrinology and metabolism (Seoul, Korea)

    2022  Volume 37, Issue 1, Page(s) 62–64

    MeSH term(s) Computational Biology ; Drug Repositioning
    Language English
    Publishing date 2022-02-28
    Publishing country Korea (South)
    Document type Editorial ; Comment
    ZDB-ID 2802452-7
    ISSN 2093-5978 ; 2093-5978
    ISSN (online) 2093-5978
    ISSN 2093-5978
    DOI 10.3803/EnM.2022.1403
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Towards Telemedicine Adoption in Korea: 10 Practical Recommendations for Physicians.

    Kim, Hun Sung

    Journal of Korean medical science

    2021  Volume 36, Issue 17, Page(s) e103

    Abstract: Due to the coronavirus disease 2019 (COVID-19) outbreak, consultation and prescription via telemedicine were temporarily allowed in the Korean population. However, at this point, it is difficult to determine whether telemedicine fulfills its role as a ... ...

    Abstract Due to the coronavirus disease 2019 (COVID-19) outbreak, consultation and prescription via telemedicine were temporarily allowed in the Korean population. However, at this point, it is difficult to determine whether telemedicine fulfills its role as a health care strategy. Arguably, if we had enough previous experience with telemedicine or sufficient preparation for its application, telemedicine could be more smoothly and flexibly adopted in the medical field. As it is still not possible to predict when the COVID-19 pandemic will end, phone consultation and prescription are likely to continue for some time. Hence, it is expected that telemedicine will naturally settle in the medical field in the near future. However, as we have noticed during this outbreak, improvised telemedicine without adequate guidance can be confusing to both patients and health professionals, thus reducing the benefit to patients. Medical staff requires preparation on how to appropriately use telemedicine. Thus, here we present some suggestions on implementing and preparing for telemedicine in the medical community.
    MeSH term(s) COVID-19/epidemiology ; Continuity of Patient Care ; Critical Pathways ; Equipment and Supplies ; Humans ; Intersectoral Collaboration ; Patient Care Team ; Physicians ; Practice Guidelines as Topic ; Republic of Korea/epidemiology ; SARS-CoV-2 ; Telemedicine
    Language English
    Publishing date 2021-05-03
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2021.36.e103
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data.

    Kim, Sung-Soo / Kim, Hun-Sung

    Journal of personalized medicine

    2023  Volume 14, Issue 1

    Abstract: This study aimed to examine comorbidity associations across age groups of inpatients with endocrine diseases as the primary diagnosis throughout the life cycle to develop an effective management strategy. Data were obtained from the Korean National ... ...

    Abstract This study aimed to examine comorbidity associations across age groups of inpatients with endocrine diseases as the primary diagnosis throughout the life cycle to develop an effective management strategy. Data were obtained from the Korean National Hospital Discharge In-depth Injury Survey (KNHDS) from 2006 to 2021, involving 68,515 discharged patients aged ≥ 19 years with a principal diagnosis of endocrine disease. A database was constructed for analysis, extracting general characteristics and comorbidities. Employing R version 4.2.3, the Chi-squared test and the Apriori algorithm of ARM (association rule mining) were used for analyzing general characteristics and comorbidity associations. There were more women (53.1%) than men (46.9%) (
    Language English
    Publishing date 2023-12-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm14010042
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The Present and Future of Artificial Intelligence-Based Medical Image in Diabetes Mellitus: Focus on Analytical Methods and Limitations of Clinical Use.

    Chun, Ji-Won / Kim, Hun-Sung

    Journal of Korean medical science

    2023  Volume 38, Issue 31, Page(s) e253

    Abstract: Artificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes ... ...

    Abstract Artificial intelligence (AI)-based diagnostic technology using medical images can be used to increase examination accessibility and support clinical decision-making for screening and diagnosis. To determine a machine learning algorithm for diabetes complications, a literature review of studies using medical image-based AI technology was conducted using the National Library of Medicine PubMed, and the Excerpta Medica databases. Lists of studies using diabetes diagnostic images and AI as keywords were combined. In total, 227 appropriate studies were selected. Diabetic retinopathy studies using the AI model were the most frequent (85.0%, 193/227 cases), followed by diabetic foot (7.9%, 18/227 cases) and diabetic neuropathy (2.7%, 6/227 cases). The studies used open datasets (42.3%, 96/227 cases) or directly constructed data from fundoscopy or optical coherence tomography (57.7%, 131/227 cases). Major limitations in AI-based detection of diabetes complications using medical images were the lack of datasets (36.1%, 82/227 cases) and severity misclassification (26.4%, 60/227 cases). Although it remains difficult to use and fully trust AI-based imaging analysis technology clinically, it reduces clinicians' time and labor, and the expectations from its decision-support roles are high. Various data collection and synthesis data technology developments according to the disease severity are required to solve data imbalance.
    MeSH term(s) Humans ; Artificial Intelligence ; Algorithms ; Machine Learning ; Diabetic Retinopathy/diagnostic imaging ; Forecasting ; Diabetes Mellitus/diagnostic imaging
    Language English
    Publishing date 2023-08-07
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2023.38.e253
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Reinforcement Learning-Based Joint Beamwidth and Beam Alignment Interval Optimization in V2I Communications.

    Lee, Jihun / Kim, Hun / So, Jaewoo

    Sensors (Basel, Switzerland)

    2024  Volume 24, Issue 3

    Abstract: The directional antenna combined with beamforming is one of the attractive solutions to accommodate high data rate applications in 5G vehicle communications. However, the directional nature of beamforming requires beam alignment between the transmitter ... ...

    Abstract The directional antenna combined with beamforming is one of the attractive solutions to accommodate high data rate applications in 5G vehicle communications. However, the directional nature of beamforming requires beam alignment between the transmitter and the receiver, which incurs significant signaling overhead. Hence, we need to find the optimal parameters for directional beamforming, i.e., the antenna beamwidth and beam alignment interval, that maximize the throughput, taking the beam alignment overhead into consideration. In this paper, we propose a reinforcement learning (RL)-based beamforming scheme in a vehicle-to-infrastructure system, where we jointly determine the antenna beamwidth and the beam alignment interval, taking into account the past and future rewards. The simulation results show that the proposed RL-based joint beamforming scheme outperforms conventional beamforming schemes in terms of the average throughput and the average link stability ratio.
    Language English
    Publishing date 2024-01-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2052857-7
    ISSN 1424-8220 ; 1424-8220
    ISSN (online) 1424-8220
    ISSN 1424-8220
    DOI 10.3390/s24030837
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Visible-Light [4+2] Homodimerization of Decomposition-Prone Styrenes via Electron Transfer Catalysis of Diaryl Diselenides.

    Jang, Inho / Kim, Hun Young / Oh, Kyungsoo

    Organic letters

    2024  

    Abstract: The facile electron transfer catalysis of diaryl diselenides was utilized for the visible-light [4+2] homodimerization of decomposition-prone styrenes. The reaction required only 0.5 mol % ... ...

    Abstract The facile electron transfer catalysis of diaryl diselenides was utilized for the visible-light [4+2] homodimerization of decomposition-prone styrenes. The reaction required only 0.5 mol % TPT
    Language English
    Publishing date 2024-04-29
    Publishing country United States
    Document type Journal Article
    ISSN 1523-7052
    ISSN (online) 1523-7052
    DOI 10.1021/acs.orglett.4c01210
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  8. Article: Lessons from Temporary Telemedicine Initiated owing to Outbreak of COVID-19.

    Kim, Hun-Sung

    Healthcare informatics research

    2020  Volume 26, Issue 2, Page(s) 159–161

    Keywords covid19
    Language English
    Publishing date 2020-04-30
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 2619923-3
    ISSN 2093-369X ; 2093-3681
    ISSN (online) 2093-369X
    ISSN 2093-3681
    DOI 10.4258/hir.2020.26.2.159
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits.

    Kim, Hun Sung

    Journal of Korean medical science

    2020  Volume 35, Issue 45, Page(s) e373

    Abstract: Digital therapeutics (DTx), like drugs or medical devices, 1) must prove their effectiveness and safety through clinical trials; 2) are provided to patients through prescriptions from doctors; and 3) may require the approval of regulatory agencies, ... ...

    Abstract Digital therapeutics (DTx), like drugs or medical devices, 1) must prove their effectiveness and safety through clinical trials; 2) are provided to patients through prescriptions from doctors; and 3) may require the approval of regulatory agencies, though this might not be mandatory. Although DTx will play an important role in the medical field in the near future, some merits of DTx have been exaggerated at this crucial juncture. In the medical field, where safety and effectiveness are important, merely reducing the development time and costs of DTx is not advantageous. The adverse effects of DTx are not yet well-known, and will be identified eventually, with the passage of time. DTx is beneficial for the collection and analysis of real-world data (RWD); however, they require new and distinct work to collect and analyze high-quality RWD. Naturally, whether this is possible must be independently ascertained through scientific methods. Depending on the type of disease, it is not recommended that DTx be prescribed, even if the patient rejects conventional treatment. Prescription of conventional pharmacotherapy is often necessary, and if the prescription of DTx is inadequate, the critical time for initial treatment may be missed. There is no basis for continuing DTx use by patients. Rather, the rate of continuity of DTx use is extremely low. While many conventional pharmacotherapies have undergone numerous verification and safety tests over a long time, barriers to the application of DTx in the medical field are lower than those for conventional pharmacotherapies. Considering these reasons, except for certain special cases, an approach to DTx is needed that complements the prescription of conventional pharmacotherapy by the medical staff. When DTx are prescribed by doctors who clearly know their advantages and disadvantages, the doctors' expertise may undergo further refinement, and the quality of medical care is expected to improve.
    MeSH term(s) Cognitive Behavioral Therapy ; Complementary Therapies/economics ; Complementary Therapies/methods ; Government Regulation ; Health Personnel/psychology ; Humans ; Mobile Applications ; Patients/psychology ; Pharmaceutical Preparations/chemistry ; Treatment Outcome
    Chemical Substances Pharmaceutical Preparations
    Language English
    Publishing date 2020-11-23
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2020.35.e373
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Decision-Making in Artificial Intelligence: Is It Always Correct?

    Kim, Hun Sung

    Journal of Korean medical science

    2020  Volume 35, Issue 1, Page(s) e1

    MeSH term(s) Artificial Intelligence ; Decision Making ; Health Personnel/psychology ; Humans
    Language English
    Publishing date 2020-01-06
    Publishing country Korea (South)
    Document type Journal Article
    ZDB-ID 639262-3
    ISSN 1598-6357 ; 1011-8934
    ISSN (online) 1598-6357
    ISSN 1011-8934
    DOI 10.3346/jkms.2020.35.e1
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