• Title/Summary/Keyword: Effectiveness Score

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Efficiency and accuracy of artificial intelligence in the radiographic detection of periodontal bone loss: A systematic review

  • Asmhan Tariq;Fatmah Bin Nakhi;Fatema Salah;Gabass Eltayeb;Ghada Jassem Abdulla;Noor Najim;Salma Ahmed Khedr;Sara Elkerdasy;Natheer Al-Rawi;Sausan Alkawas;Marwan Mohammed;Shishir Ram Shetty
    • Imaging Science in Dentistry
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    • v.53 no.3
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    • pp.193-198
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    • 2023
  • Purpose: Artificial intelligence (AI) is poised to play a major role in medical diagnostics. Periodontal disease is one of the most common oral diseases. The early diagnosis of periodontal disease is essential for effective treatment and a favorable prognosis. This study aimed to assess the effectiveness of AI in diagnosing periodontal bone loss through radiographic analysis. Materials and Methods: A literature search involving 5 databases (PubMed, ScienceDirect, Scopus, Health and Medical Collection, Dentistry and Oral Sciences) was carried out. A specific combination of keywords was used to obtain the articles. The PRISMA guidelines were used to filter eligible articles. The study design, sample size, type of AI software, and the results of each eligible study were analyzed. The CASP diagnostic study checklist was used to evaluate the evidence strength score. Results: Seven articles were eligible for review according to the PRISMA guidelines. Out of the 7 eligible studies, 4 had strong CASP evidence strength scores (7-8/9). The remaining studies had intermediate CASP evidence strength scores (3.5-6.5/9). The highest area under the curve among the reported studies was 94%, the highest F1 score was 91%, and the highest specificity and sensitivity were 98.1% and 94%, respectively. Conclusion: AI-based detection of periodontal bone loss using radiographs is an efficient method. However, more clinical studies need to be conducted before this method is introduced into routine dental practice.

Overcoming Ethical Conflicts and Dilemmas in Farm Animal Welfare: Investigation of Correlation between Ethical Awareness Level and Compliance with Animal Welfare-Related Regulations in Korean Layer Farms (축산농장 동물복지의 윤리적 갈등과 딜레마 극복: 국내 산란계 농장에서의 윤리의식 수준에 따른 동물복지 관련법규 준수여부 상관관계 조사)

  • Bonn Lee;Taesik Kim;Soo-Won Choi
    • Korean Journal of Poultry Science
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    • v.50 no.2
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    • pp.81-90
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    • 2023
  • Animal welfare was introduced relatively late to Korea in comparison with Western countries. Nonetheless, the Korean government has continuously improved animal welfare-friendly regulations as policy instruments. Given the current situation, it is predicted that spontaneous settlement of the animal welfare policies will be difficult and may cause conflict in the farm animal industry. To identify and categorize conflicts caused by animal-welfare-related policies in the last five years, we investigated the awareness of animal welfare among Korean hen farms and the level of compliance with the animal welfare regulations. We collected a sample of 53 egg-laying chicken farm operators (e.g., owners or head managers) was collected through the on-site survey (90% confidence level (Z-score: 1.65) and 10.18% tolerance, based on a number of 797 egg-laying farms in 2020). Ethical conflicts on the farms were categorized into three different types according to the hen farm's ethical awareness level: passive, moderate, and active. Additionally, we investigated the correlation between compliance with regulations and ethical consideration. This study confirmed that compliance with animal welfare-related regulations significantly correlated to the level of ethical consideration of farm operators. Interestingly, we also observed that farm operators did not comply with the regulation despite their high level of awareness of animal welfare. This conflict implies contradiction and unresolved ethical dilemmas. Therefore, this study argues that the policies cause conflict in the field despite the certain level of effectiveness on animal welfare regulations.

Health-related Quality of Life of Patients With Diabetes Mellitus Measured With the Bahasa Indonesia Version of EQ-5D in Primary Care Settings in Indonesia

  • Muhammad Husen Prabowo;Ratih Puspita Febrinasari;Eti Poncorini Pamungkasari;Yodi Mahendradhata;Anni-Maria Pulkki-Brannstrom;Ari Probandari
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.5
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    • pp.467-474
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    • 2023
  • Objectives: Diabetes mellitus (DM) is a serious public health issue that places a heavy financial, social, and health-related burden on individuals, families, and healthcare systems. Self-reported health-related quality of life (HRQoL) is extensively used for monitoring the general population's health conditions and measuring the effectiveness of interventions. Therefore, this study investigated HRQoL and associated factors among patients with type 2 DM at a primary healthcare center in Indonesia. Methods: A cross-sectional study was conducted in Klaten District, Central Java, Indonesia, from May 2019 to July 2019. In total, 260 patients with DM registered with National Health Insurance were interviewed. HRQoL was measured with the EuroQol Group's validated Bahasa Indonesia version of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) with the Indonesian value set. Multivariate regression models were used to identify factors influencing HRQoL. Results: Data from 24 patients were excluded due to incomplete information. Most participants were men (60.6%), were aged above 50 years (91.5%), had less than a senior high school education (75.0%), and were unemployed (85.6%). The most frequent health problems were reported for the pain/discomfort dimension (64.0%) followed by anxiety (28.4%), mobility (17.8%), usual activities (10.6%), and self-care (6.8%). The average EuroQoL 5-Dimension (EQ-5D) index score was 0.86 (95% confidence interval [CI], 0.83 to 0.88). In the multivariate ordinal regression model, a higher education level (coefficient, 0.08; 95% CI, 0.02 to 0.14) was a significant predictor of the EQ-5D-5L utility score. Conclusions: Patients with diabetes had poorer EQ-5D-5L utility values than the general population. DM patients experienced pain/discomfort and anxiety. There was a substantial positive relationship between education level and HRQoL.

Two Cases of Korean Medicine Treatment for Patients with Parkinson's Disease Evaluated Using a Three-Dimensional Gait Analysis System (3차원 보행분석기로 평가한 보행장애 및 자세불안정을 주소로 하는 파킨슨병 환자 한의 치험 2례)

  • Hye-jin Lee;Ye-chae Hwang;Kyeong-hwa Lee;Dong-joo Kim;Seung-yeon Cho;Jung-mi Park;Chang-nam Ko;Seong-uk Park
    • The Journal of Internal Korean Medicine
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    • v.44 no.4
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    • pp.774-790
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    • 2023
  • Objective: This study examined the effectiveness of Korean medicine treatments in two patients with Parkinson's disease complaining of discomfort stemming from postural instability and gait disturbance (PIGD). Methods: Two patients were treated for 3 months. They visited the clinic once a week for the first month and thereafter once every 2 weeks. The Unified Parkinson's Disease Rating Scale (UPDRS) and a three-dimensional gait analysis were performed at the first visit and at 1, 2, and 3 months thereafter. Results: In Case 1, gait speed, stride length, and swing phase increased. Double support decreased until 2 months after treatment but increased slightly after 3 months. Among the kinematic parameters, tilt and rotation increased. The total UPDRS Part III score decreased from 51 points to 29 points after 3 months of treatment. In Case 2, gait speed, stride length, and swing phase increased, but double support decreased. Among the kinematic parameters, tilt, rotation, and obliquity decreased. The total UPDRS Part III score decreased from 11 points to 7 points after 3 months of treatment. Conclusions: This study suggests that Korean medicine can be an effective treatment for patients with Parkinson's disease who experience discomfort due to PIGD.

AI-based stuttering automatic classification method: Using a convolutional neural network (인공지능 기반의 말더듬 자동분류 방법: 합성곱신경망(CNN) 활용)

  • Jin Park;Chang Gyun Lee
    • Phonetics and Speech Sciences
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    • v.15 no.4
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    • pp.71-80
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    • 2023
  • This study primarily aimed to develop an automated stuttering identification and classification method using artificial intelligence technology. In particular, this study aimed to develop a deep learning-based identification model utilizing the convolutional neural networks (CNNs) algorithm for Korean speakers who stutter. To this aim, speech data were collected from 9 adults who stutter and 9 normally-fluent speakers. The data were automatically segmented at the phrasal level using Google Cloud speech-to-text (STT), and labels such as 'fluent', 'blockage', prolongation', and 'repetition' were assigned to them. Mel frequency cepstral coefficients (MFCCs) and the CNN-based classifier were also used for detecting and classifying each type of the stuttered disfluency. However, in the case of prolongation, five results were found and, therefore, excluded from the classifier model. Results showed that the accuracy of the CNN classifier was 0.96, and the F1-score for classification performance was as follows: 'fluent' 1.00, 'blockage' 0.67, and 'repetition' 0.74. Although the effectiveness of the automatic classification identifier was validated using CNNs to detect the stuttered disfluencies, the performance was found to be inadequate especially for the blockage and prolongation types. Consequently, the establishment of a big speech database for collecting data based on the types of stuttered disfluencies was identified as a necessary foundation for improving classification performance.

Quality of Radiomics Research on Brain Metastasis: A Roadmap to Promote Clinical Translation

  • Chae Jung Park;Yae Won Park;Sung Soo Ahn;Dain Kim;Eui Hyun Kim;Seok-Gu Kang;Jong Hee Chang;Se Hoon Kim;Seung-Koo Lee
    • Korean Journal of Radiology
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    • v.23 no.1
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    • pp.77-88
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    • 2022
  • Objective: Our study aimed to evaluate the quality of radiomics studies on brain metastases based on the radiomics quality score (RQS), Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) checklist, and the Image Biomarker Standardization Initiative (IBSI) guidelines. Materials and Methods: PubMed MEDLINE, and EMBASE were searched for articles on radiomics for evaluating brain metastases, published until February 2021. Of the 572 articles, 29 relevant original research articles were included and evaluated according to the RQS, TRIPOD checklist, and IBSI guidelines. Results: External validation was performed in only three studies (10.3%). The median RQS was 3.0 (range, -6 to 12), with a low basic adherence rate of 50.0%. The adherence rate was low in comparison to the "gold standard" (10.3%), stating the potential clinical utility (10.3%), performing the cut-off analysis (3.4%), reporting calibration statistics (6.9%), and providing open science and data (3.4%). None of the studies involved test-retest or phantom studies, prospective studies, or cost-effectiveness analyses. The overall rate of adherence to the TRIPOD checklist was 60.3% and low for reporting title (3.4%), blind assessment of outcome (0%), description of the handling of missing data (0%), and presentation of the full prediction model (0%). The majority of studies lacked pre-processing steps, with bias-field correction, isovoxel resampling, skull stripping, and gray-level discretization performed in only six (20.7%), nine (31.0%), four (3.8%), and four (13.8%) studies, respectively. Conclusion: The overall scientific and reporting quality of radiomics studies on brain metastases published during the study period was insufficient. Radiomics studies should adhere to the RQS, TRIPOD, and IBSI guidelines to facilitate the translation of radiomics into the clinical field.

The Impact of M&L Psychotherapy on the Growth and Development of a Socially Disadvantaged Adolescent with Anxiety Disorders - Quantitative and Qualitative Analysis of a Single Case (M&L 심리치료가 불안장애를 가진 취약계층 청소년의 건강한 성장에 미치는 영향 - 단일증례의 양적, 질적 분석)

  • Jae-Wook Shin;Haegue Shin;Min-Joo Lee;Dong-Uk Kim;Hyo-Weon Suh;Hyung Won Kang
    • Journal of Oriental Neuropsychiatry
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    • v.35 no.1
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    • pp.115-140
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    • 2024
  • Objectives: This study investigates the impact of M&L psychotherapy on an adolescent with anxiety disorders transitioning into adulthood, using a retrospective mixed-method approach. Methods: An adolescent with Diagnostic Statistical Manual of Mental Disorders (DSM)-5-diagnosed anxiety disorders underwent combined treatment with M&L psychotherapy and complex Korean medicine therapy over a period of approximately two years. Patient records tracked the diagnosis, treatments, and progress. In-depth interviews were also conducted. The study used a convergent parallel mixed-method approach, integrating quantitative analysis from psychological assessments, including the State-Trait Anxiety Inventory (STAI-X), the Core Seven Emotions Inventory-short form (CSEI-s), and the Minnesota Multiphasic Personality Inventory-2 (MMPI-2), with qualitative analyses of traditional Korean medicine counseling session notes, interviews, and other qualitative psychological assessments. Results: State anxiety decreased from 40 to 36, and trait anxiety decreased from 42 to 34. MMPI-2 L scale scores decreased slightly to 64T, whereas S scale scores increased to 62T, and FRS scores decreased to 70T from an initial score of 78T. Qualitative analysis revealed an increase in the MMPI-2 Es scale, identified as "subjectivity." Joy (喜) emerged as the highest emotional profile score in the CSEI-S. Scores for anger (怒), thought (思), fear (恐), and fright (驚) decreased, indicating improved negative emotions. Qualitatively, expressions of determination to "move forward" and "strengthen the mind" were noted, suggesting enhanced "lower danjeon (下丹田)." Conclusions: Integrating traditional Korean medicine treatment with M&L psychotherapy for a vulnerable adolescent with anxiety disorders demonstrated efficacy. Further research is warranted to substantiate the effectiveness of M&L psychotherapy and advocate for its wider adoption in mainstream practice.

Quality Reporting of Radiomics Analysis in Mild Cognitive Impairment and Alzheimer's Disease: A Roadmap for Moving Forward

  • So Yeon Won;Yae Won Park;Mina Park;Sung Soo Ahn;Jinna Kim;Seung-Koo Lee
    • Korean Journal of Radiology
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    • v.21 no.12
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    • pp.1345-1354
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    • 2020
  • Objective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and Methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. Adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science. Results: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.

Effectiveness of Sonic and Manual Toothbrush in Preschool Children (미취학 어린이에서 음파 칫솔과 일반 칫솔의 효과)

  • Shin, Youngseob;Lee, Hyoseol;Song, Jeseon;Lee, Jaeho
    • Journal of the korean academy of Pediatric Dentistry
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    • v.43 no.4
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    • pp.374-381
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    • 2016
  • The purpose of this study is to compare the effectiveness of sonic and manual toothbrushes using the $L{\ddot{o}}e$ and Silness plaque index (PI). This was an examiner-blind, randomized study with a cross-over design. A total of 34 children (17 males and 17 females) aged 3-6 years were included. Subjects were randomly assigned to two groups: one group used the sonic brush for two weeks before using the manual brush for two weeks, while the other group used the manual brush for two weeks followed by the sonic brush. During each dental visit, plaque indices were recorded and compared to baseline. The results were analyzed using a paired t-test or Pearson correlation test (${\alpha}=0.05$). Thirty children (mean age 4.37 years) complied with the protocol and completed the study. The PI score was 0.09 lower compared to baseline after using a manual toothbrush and 0.26 lower after using the sonic brush. The reduction was statistically significantly greater in the sonic group (p < 0.05). In conclusion, the sonic toothbrush is more effective for reducing plaque than a manual toothbrush.

Evaluation of the Effectiveness of a Salt Reduction Program for Employees (직장인 대상 저염화 교육 프로그램의 효과 평가)

  • Kim, Hyun-Hee;Shin, Eun-Kyung;Lee, Hye-Jin;Lee, Nan-Hee;Chun, Byung-Yeol;Ahn, Moon-Young;Lee, Yeon-Kyung
    • Journal of Nutrition and Health
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    • v.42 no.4
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    • pp.350-357
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    • 2009
  • The purpose of this paper was to evaluate the effectiveness of a salt reduction education program. Subjects participating in this study were 251 employees (166 in the "educated" group, 85 in the "non-educated" group) at 8 hospital and industry food service operations in Daegu. After the salt reduction education program was carried out, a salty taste assessment of both groups was conducted. The educated group had statistically significant differences and the noneducated group did not have statistically significant differences. In terms of nutrition knowledge, while the nutrition knowledge of the educated group was increased (p < 0.001), that of the non-educated group rose at a rate of 0.92. In terms of dietary attitude, the educated group exhibited increased preference toward less salty foods when compared to the noneducated group (p < 0.001). Regarding dietary behavior, the score of the educated group was improved (p < 0.001), thereby indicating a preference for less salty taste. This means that nutrition education had influence on dietary behavior. However, after education, sodium excretion for the educated group was not significantly decreased, compared to before education. The results show that there was a positive correlation between salty taste assessment and dietary attitude and behavior for a high-salt diet. There was a positive relationship between attitude for a high-salt diet and sodium intake; when people prefere a more salty taste, they eat more sodium. Therefore, in order to change dietary preference away from salty taste and to decrease sodium intake, a nationwide, systematic and continuous salt reduction education program is needed.