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  1. Article: A remineralizing orthodontic etchant that utilizes calcium phosphate ion clusters.

    Kim, Hyeryeong / Yoo, Kyung-Hyeon / Yoon, Seog-Young / Choi, Youn-Kyung / Kim, Yong-Il

    Frontiers in bioengineering and biotechnology

    2022  Volume 10, Page(s) 944869

    Abstract: This study aimed to investigate whether a phosphoric acid (H ...

    Abstract This study aimed to investigate whether a phosphoric acid (H
    Language English
    Publishing date 2022-08-31
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2022.944869
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Comparison of radiologist versus natural language processing-based image annotations for deep learning system for tuberculosis screening on chest radiographs.

    Yi, Paul H / Kim, Tae Kyung / Lin, Cheng Ting

    Clinical imaging

    2022  Volume 87, Page(s) 34–37

    Abstract: Although natural language processing (NLP) can rapidly extract disease labels from radiology reports to create datasets for deep learning models, this may be less accurate than having radiologists manually review the images. In this study, we compared ... ...

    Abstract Although natural language processing (NLP) can rapidly extract disease labels from radiology reports to create datasets for deep learning models, this may be less accurate than having radiologists manually review the images. In this study, we compared agreement between natural language processing (NLP) and radiologist-curated labels for possible tuberculosis (TB) on chest radiographs (CXR) and evaluated the performance of deep convolutional neural networks (DCNN) trained to identify TB using the preceding two sets of labels. We collected 10,951 CXRs from the NIH ChestX-ray14 dataset and labeled them as positive or negative for possible TB based on two methods: 1) NLP-derived disease labels and 2) radiologist-review of images. These images were used to train DCNNs on varying dataset sizes for possible TB and tested on an external dataset of 800 CXRs. Area under the ROC curve (AUC) was used to evaluate DCNNs. There was poor agreement between NLP and radiologist-curated labels for potential TB (Kappa coefficient 0.34). DCNNs trained using radiologist-curated labels had higher performance than the algorithm trained using the NLP-labels, regardless of the number of images used for training. The best-performing DCNN had an AUC of 0.88, which was trained on 10,951 images using the radiologist-annotated sets. DCNNs trained on CXRs labeled by a radiologist consistently outperformed those trained on the same CXRs labeled by NLP, highlighting the benefit of radiologists' determining groundtruth for machine learning dataset curation.
    MeSH term(s) Data Curation ; Deep Learning ; Humans ; Natural Language Processing ; Radiography, Thoracic/methods ; Radiologists ; Retrospective Studies
    Language English
    Publishing date 2022-04-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1028123-x
    ISSN 1873-4499 ; 0899-7071
    ISSN (online) 1873-4499
    ISSN 0899-7071
    DOI 10.1016/j.clinimag.2022.04.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Generalizability of Deep Learning Tuberculosis Classifier to COVID-19 Chest Radiographs: New Tricks for an Old Algorithm?

    Yi, Paul H / Kim, Tae Kyung / Lin, Cheng Ting

    Journal of thoracic imaging

    2020  Volume 35, Issue 4, Page(s) W102–W104

    MeSH term(s) Algorithms ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/diagnostic imaging ; Deep Learning ; Humans ; Lung/diagnostic imaging ; Pandemics ; Pneumonia, Viral/diagnostic imaging ; Radiographic Image Interpretation, Computer-Assisted/methods ; Radiography, Thoracic/methods ; Reproducibility of Results ; SARS-CoV-2 ; Tuberculosis/diagnostic imaging
    Keywords covid19
    Language English
    Publishing date 2020-06-18
    Publishing country United States
    Document type Journal Article
    ZDB-ID 632900-7
    ISSN 1536-0237 ; 0883-5993
    ISSN (online) 1536-0237
    ISSN 0883-5993
    DOI 10.1097/RTI.0000000000000532
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Design, synthesis, and study of novel phenethyl-based antitumor phospholipids downregulating p38 mitogen-activated protein kinase.

    Hassan, Ahmed H E / Oh, Yeon Il / Lee, Chae Hyeon / Kim, Yeon Ju / Cho, Soo Bin / Alam, Md Maqusood / Park, Sang-Eun / Chung, Kyung-Sook / Lee, Kyung-Tae / Lee, Yong Sup

    Journal of enzyme inhibition and medicinal chemistry

    2023  Volume 38, Issue 1, Page(s) 2217695

    Abstract: Phenethyl-based edelfosine-analogs with saturated, monounsaturated, or polyunsaturated alkoxy substituents on phenyl ring were designed as novel antitumor lipids modulating p38 MAPK. Evaluation of the synthesised compounds against nine panels of diverse ... ...

    Abstract Phenethyl-based edelfosine-analogs with saturated, monounsaturated, or polyunsaturated alkoxy substituents on phenyl ring were designed as novel antitumor lipids modulating p38 MAPK. Evaluation of the synthesised compounds against nine panels of diverse cancer cells presented saturated and monounsaturated alkoxy-substituted derivatives as the most active than other derivatives. In addition,
    MeSH term(s) Male ; Female ; Humans ; p38 Mitogen-Activated Protein Kinases ; Phosphorylation ; Antineoplastic Agents/pharmacology ; Lipids
    Chemical Substances p38 Mitogen-Activated Protein Kinases (EC 2.7.11.24) ; alkoxyl radical ; Antineoplastic Agents ; Lipids
    Language English
    Publishing date 2023-05-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2082578-X
    ISSN 1475-6374 ; 1475-6366
    ISSN (online) 1475-6374
    ISSN 1475-6366
    DOI 10.1080/14756366.2023.2217695
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Comparison of postoperative ascites replacement strategies on time to first flatus after living donor liver transplantation: Albumin vs. lactated Ringer's solution.

    Oh, Seung-Young / Woo, Hye-Young / Lim, Leerang / Im, Hyunjae / Lee, Hannah / Lee, Jeong-Moo / Hong, Suk Kyun / Choi, YoungRok / Yi, Nam-Joon / Lee, Kwang-Woong / Suh, Kyung-Suk / Ryu, Ho Geol

    Clinical transplantation

    2024  Volume 38, Issue 1, Page(s) e15231

    Abstract: ... Replacement of postoperative ascites was performed for all patients every 4 h after LT until the patient was ... transferred to the general ward. Seventy percent of ascites drained during the previous 4 h was replaced over ... the next 4 h with continuous infusion of fluids with a prescribed regimen according to the assigned group ...

    Abstract Introduction: There is insufficient evidence regarding the optimal regimen for ascites replacement after living donor liver transplantation (LT) and its effectiveness. The aim of this study is to evaluate the impact of replacing postoperative ascites after LT with albumin on time to first flatus during recovery with early ambulation and incidence of acute kidney injury (AKI).
    Methods: Adult patients who underwent elective living donor LT at Seoul National University Hospital from 2019 to 2021 were randomly assigned to either the albumin group or lactated Ringer's group, based on the ascites replacement regimen. Replacement of postoperative ascites was performed for all patients every 4 h after LT until the patient was transferred to the general ward. Seventy percent of ascites drained during the previous 4 h was replaced over the next 4 h with continuous infusion of fluids with a prescribed regimen according to the assigned group. In the albumin group, 30% of a total of 70% of drained ascites was replaced with 5% albumin solution, and remnant 40% was replaced with lactated Ringer's solution. In the lactated Ringer's group, 70% of drained ascites was replaced with only lactated Ringer's solution. The primary outcome was the time to first flatus from the end of the LT and the secondary outcome was the incidence of AKI for up to postoperative day 7.
    Results: Among the 157 patients who were screened for eligibility, 72 patients were enrolled. The mean age was 63 ± 8.2 years, and 73.0 % (46/63) were male. Time to first flatus was similar between the two groups (66.7 ± 24.1 h vs. 68.5 ± 25.6 h, p = .778). The albumin group showed a higher glomerular filtration rate and lower incidence of AKI until postoperative day 7, compared to the lactated Ringer's group.
    Conclusions: Using lactated Ringer's solution alone for replacement of ascites after living donor LT did not reduce the time to first flatus and was associated with an increased risk of AKI. Further research on the optimal ascites replacement regimen and the target serum albumin level which should be corrected after LT is required.
    MeSH term(s) Aged ; Female ; Humans ; Male ; Middle Aged ; Acute Kidney Injury/etiology ; Albumins ; Ascites/etiology ; Flatulence ; Isotonic Solutions ; Liver Transplantation/adverse effects ; Living Donors ; Ringer's Lactate
    Chemical Substances Albumins ; Isotonic Solutions ; Ringer's Lactate
    Language English
    Publishing date 2024-01-30
    Publishing country Denmark
    Document type Comparative Study ; Journal Article ; Randomized Controlled Trial ; Research Support, Non-U.S. Gov't
    ZDB-ID 639001-8
    ISSN 1399-0012 ; 0902-0063
    ISSN (online) 1399-0012
    ISSN 0902-0063
    DOI 10.1111/ctr.15231
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Magnesium Sulfate and Cerebral Oxygen Saturation in Mild Traumatic Brain Injury: A Randomized, Double-Blind, Controlled Trial.

    Sohn, Hye-Min / Ahn, Hyoeun / Seo, Won-Seok / Yi, In-Kyung / Park, Jun Yeong

    Journal of clinical medicine

    2022  Volume 11, Issue 12

    Abstract: ... either intravenous MgSO4 (30 mg/kg for 10 min, followed by a continuous infusion of 15 mg/kg/h) or a placebo (saline ... postoperative pain intensity, and fentanyl consumption at 6 h were lower in the MgSO4 group (p = 0.024, 0.017, and 0 ...

    Abstract Perioperative cerebral hypoperfusion/ischemia is considered to play a pivotal role in the development of secondary traumatic brain injury (TBI). This prospective randomized, double-blind, controlled study investigated whether magnesium sulfate (MgSO4) infusion was associated with neuroprotection in maintaining regional cerebral oxygen saturation (rSO2) values in patients with mild TBI undergoing general anesthesia. Immediately after intubation, we randomly assigned patients with TBI to receive either intravenous MgSO4 (30 mg/kg for 10 min, followed by a continuous infusion of 15 mg/kg/h) or a placebo (saline) during surgery. We also implemented an intervention protocol for a sudden desaturation exceeding 20% of the initial baseline rSO2. The intraoperative rSO2 values were similar with respect to the median (left. 67% vs. 66%, respectively; p = 0.654), lowest, and highest rSO2 in both groups. The incidence (left 31.2% vs. 24.3%; p = 0.521) and duration (left 2.6% vs. 3.5%; p = 0.638) of cerebral desaturations (the relative decline in rSO2 < 80% of the baseline value) were also similar for both groups. Although the patients suffered serious traumatic injuries, all critical desaturation events were restored (100%) following stringent adherence to the intervention protocol. Intraoperative remifentanil consumption, postoperative pain intensity, and fentanyl consumption at 6 h were lower in the MgSO4 group (p = 0.024, 0.017, and 0.041, respectively) compared to the control group, whereas the satisfaction score was higher in the MgSO4 group (p = 0.007). The rSO2 did not respond to intraoperative MgSO4 in mild TBI. Nevertheless, MgSO4 helped the postoperative pain intensity, reduce the amount of intraoperative and postoperative analgesics administered, and heighten the satisfaction score.
    Language English
    Publishing date 2022-06-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm11123388
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Demographic Reporting in Publicly Available Chest Radiograph Data Sets: Opportunities for Mitigating Sex and Racial Disparities in Deep Learning Models.

    Yi, Paul H / Kim, Tae Kyung / Siegel, Eliot / Yahyavi-Firouz-Abadi, Noushin

    Journal of the American College of Radiology : JACR

    2022  Volume 19, Issue 1 Pt B, Page(s) 192–200

    Abstract: Objective: Data sets with demographic imbalances can introduce bias in deep learning models and potentially amplify existing health disparities. We evaluated the reporting of demographics and potential biases in publicly available chest radiograph (CXR) ...

    Abstract Objective: Data sets with demographic imbalances can introduce bias in deep learning models and potentially amplify existing health disparities. We evaluated the reporting of demographics and potential biases in publicly available chest radiograph (CXR) data sets.
    Methods: We reviewed publicly available CXR data sets available on February 1, 2021, with >100 CXRs and performed a thorough search of various repositories, including Radiopaedia and Kaggle. For each data set, we recorded the total number of images and whether the data set reported demographic variables (age, race or ethnicity, sex, insurance status) in aggregate and on an image-level basis.
    Results: Twenty-three CXR data sets were included (range, 105-371,858 images). Most data sets reported demographics in some form (19 of 23; 82.6%) and on an image level (17 of 23; 73.9%). The majority reported age (19 of 23; 82.6%) and sex (18 of 23; 78.2%), but a minority reported race or ethnicity (2 of 23; 8.7%) and insurance status (1 of 23; 4.3%). Of the 13 data sets with sex distribution readily available, the average breakdown was 55.2% male subjects, ranging from 47.8% to 69.7% male representation. Of these, 8 (61.5%) overrepresented male subjects and 5 (38.5%) overrepresented female subjects.
    Discussion: Although most publicly available CXR data sets report age and sex on an image-basis level, few report race or ethnicity and insurance status. Furthermore, these data sets frequently underrepresent one of the sexes, more frequently the female sex. We recommend that data sets report standard demographic variables, and when possible, balance demographic representation to mitigate bias. Furthermore, for researchers using these data sets, we recommend that attention be paid to balancing demographic labels in addition to disease labels, as well as developing training methods that can account for these imbalances.
    MeSH term(s) Bias ; Deep Learning ; Ethnicity ; Female ; Humans ; Male ; Radiography
    Language English
    Publishing date 2022-01-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2274861-1
    ISSN 1558-349X ; 1546-1440
    ISSN (online) 1558-349X
    ISSN 1546-1440
    DOI 10.1016/j.jacr.2021.08.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Generalizability of Deep Learning Tuberculosis Classifier to COVID-19 Chest Radiographs: New Tricks for an Old Algorithm?

    Yi, Paul H / Kim, Tae Kyung / Lin, Cheng Ting

    J Thorac Imaging

    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #275188
    Database COVID19

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  9. Article: Simultaneous Substitution of Fe and Sr in Beta-Tricalcium Phosphate: Synthesis, Structural, Magnetic, Degradation, and Cell Adhesion Properties.

    Kim, So-Min / Yoo, Kyung-Hyeon / Kim, Hyeonjin / Kim, Yong-Il / Yoon, Seog-Young

    Materials (Basel, Switzerland)

    2022  Volume 15, Issue 13

    Abstract: ... photoelectron spectroscopy. The results of VSM represent the M-H graph having a combination of diamagnetic and ferromagnetic ...

    Abstract β-tricalcium phosphate is a promising bone graft substitute material with biocompatibility and high osteoinductivity. However, research on the ideal degradation and absorption for better clinical application remains a challenge. Now, we focus on modifying physicochemical properties and improving biological properties through essential ion co-substitution (Fe and Sr) in β-TCPs. Fe- and Sr-substituted and Fe/Sr co-substituted β-TCP were synthesized by aqueous co-precipitation with substitution levels ranging from 0.2 to 1.0 mol%. The β-TCP phase was detected by X-ray diffraction and Fourier transform infrared spectroscopy. Changes in Ca-O and P-O bond lengths of the co-substituted samples were observed through X-ray photoelectron spectroscopy. The results of VSM represent the M-H graph having a combination of diamagnetic and ferromagnetic properties. A TRIS-HCl solution immersion test showed that the degradation and resorption functions act synergistically on the surface of the co-substituted sample. Cell adhesion tests demonstrated that Fe enhances the initial adhesion and proliferation behavior of hDPSCs. The present work suggests that Fe and Sr co-substitution in β-TCP can be a candidate for promising bone graft materials in tissue engineering fields. In addition, the possibility of application of hyperthermia for cancer treatment can be expected.
    Language English
    Publishing date 2022-07-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma15134702
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Generalizability of Deep Learning Tuberculosis Classifier to COVID-19 Chest Radiographs ; New Tricks for an Old Algorithm?

    Yi, Paul H. / Kim, Tae Kyung / Lin, Cheng Ting

    Journal of Thoracic Imaging

    2020  Volume 35, Issue 4, Page(s) W102–W104

    Keywords Pulmonary and Respiratory Medicine ; Radiology Nuclear Medicine and imaging ; covid19
    Language English
    Publisher Ovid Technologies (Wolters Kluwer Health)
    Publishing country us
    Document type Article ; Online
    ZDB-ID 632900-7
    ISSN 1536-0237 ; 0883-5993
    ISSN (online) 1536-0237
    ISSN 0883-5993
    DOI 10.1097/rti.0000000000000532
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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