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  1. Article ; Online: Brain imaging prior to thrombectomy in the late window of large vessel occlusion ischemic stroke: a systematic review and meta-analysis.

    Lin, Chun-Hsien / Ovbiagele, Bruce / Liebeskind, David S / Saver, Jeffrey L / Lee, Meng

    Neuroradiology

    2024  Volume 66, Issue 5, Page(s) 809–816

    Abstract: Purpose: Optimal imaging modalities to select patients for endovascular thrombectomy (EVT) in the late window of acute ischemic stroke due to large vessel occlusions (AIS-LVO) are not known. We conducted a systematic review comparing outcomes of ... ...

    Abstract Purpose: Optimal imaging modalities to select patients for endovascular thrombectomy (EVT) in the late window of acute ischemic stroke due to large vessel occlusions (AIS-LVO) are not known. We conducted a systematic review comparing outcomes of patients selected by non-contrast computed tomography (NCCT)/CT angiography (CTA) vs. those selected by CT perfusion (CTP) or magnetic resonance imaging (MRI) for EVT in these patients.
    Methods: We searched PUBMED, EMBASE, and the Cochrane Library from January 1, 2000, to July 15, 2023, to identify studies comparing outcomes of patients selected for EVT by NCCT/CTA vs. CTP or MRI in the late time window for AIS-LVO. Primary outcome was independence (mRS 0-2) at 90 days or discharge. Secondary outcomes were symptomatic intracranial hemorrhage (sICH) and mortality. We pooled data across studies based on an inverse variance method.
    Results: Six cohort studies with 4208 patients were included. Pooled results showed no significant difference in the rate of independence at 90 days or discharge (RR 0.96, 95% CI 0.88-1.03) and sICH (RR 1.26, 0.85-1.86) between patients selected by NCCT/CTA vs. CTP or MRI for EVT in the late window of AIS-LVO. However, patients selected by NCCT/CTA vs. CTP or MRI for EVT were associated with a higher risk of mortality (RR 1.21, 1.06-1.39).
    Conclusion: For AIS-LVO in the late window, patients selected by NCCT/CTA compared with those selected by CTP or MRI for EVT might have a comparable rate of functional independence and sICH. Baseline NCCT/CTA may triage AIS-LVO in the late window.
    MeSH term(s) Humans ; Ischemic Stroke ; Stroke/diagnostic imaging ; Stroke/surgery ; Brain Ischemia/diagnostic imaging ; Brain Ischemia/surgery ; Endovascular Procedures/methods ; Thrombectomy/methods ; Intracranial Hemorrhages ; Neuroimaging ; Treatment Outcome
    Language English
    Publishing date 2024-03-01
    Publishing country Germany
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 123305-1
    ISSN 1432-1920 ; 0028-3940
    ISSN (online) 1432-1920
    ISSN 0028-3940
    DOI 10.1007/s00234-024-03324-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Endovascular therapy might be a treatment option for mild stroke due to proximal occlusions but not M2 occlusions.

    Lin, Chun-Hsien / Saver, Jeffrey L / Lee, Meng

    Journal of neurointerventional surgery

    2022  Volume 15, Issue 4, Page(s) 409

    MeSH term(s) Humans ; Stroke/diagnostic imaging ; Stroke/etiology ; Stroke/surgery ; Infarction, Middle Cerebral Artery/therapy ; Endovascular Procedures
    Language English
    Publishing date 2022-05-17
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2514982-9
    ISSN 1759-8486 ; 1759-8478
    ISSN (online) 1759-8486
    ISSN 1759-8478
    DOI 10.1136/neurintsurg-2022-019098
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: An Evaluation Dataset for Legal Word Embedding

    Lin, Chun-Hsien / Cheng, Pu-Jen

    A Case Study On Chinese Codex

    2022  

    Abstract: Word embedding is a modern distributed word representations approach widely used in many natural language processing tasks. Converting the vocabulary in a legal document into a word embedding model facilitates subjecting legal documents to machine ... ...

    Abstract Word embedding is a modern distributed word representations approach widely used in many natural language processing tasks. Converting the vocabulary in a legal document into a word embedding model facilitates subjecting legal documents to machine learning, deep learning, and other algorithms and subsequently performing the downstream tasks of natural language processing vis-\`a-vis, for instance, document classification, contract review, and machine translation. The most common and practical approach of accuracy evaluation with the word embedding model uses a benchmark set with linguistic rules or the relationship between words to perform analogy reasoning via algebraic calculation. This paper proposes establishing a 1,134 Legal Analogical Reasoning Questions Set (LARQS) from the 2,388 Chinese Codex corpus using five kinds of legal relations, which are then used to evaluate the accuracy of the Chinese word embedding model. Moreover, we discovered that legal relations might be ubiquitous in the word embedding model.

    Comment: 16 pages, 9 figures, 3rd International Conference on Natural Language Computing and AI (NLCAI 2022)
    Keywords Computer Science - Computation and Language ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning
    Subject code 401
    Publishing date 2022-03-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Contact-Free Atrial Fibrillation Screening with Attention Network.

    Wu, Yi-Chiao / Lin, Chun-Hsien / Chiu, Li-Wen / Wu, Bing-Fei / Chung, Meng-Liang / Tang, Sung-Chun / Sun, Yu

    IEEE journal of biomedical and health informatics

    2024  Volume PP

    Abstract: Atrial Fibrillation (AF) screening from face videos has become popular with the trend of telemedicine and telehealth in recent years. In this study, the largest facial image database for camera-based AF detection is proposed. There are 657 participants ... ...

    Abstract Atrial Fibrillation (AF) screening from face videos has become popular with the trend of telemedicine and telehealth in recent years. In this study, the largest facial image database for camera-based AF detection is proposed. There are 657 participants from two clinical sites and each of them is recorded for about 10 minutes of video data, which can be further processed as over 10,000 segments around 30 seconds, where the duration setting is referred to the guideline of AF diagnosis. It is also worth noting that, 2,979 segments are segment-wise labeled, that is, every rhythm is independently labeled with AF or not. Besides, all labels are confirmed by the cardiologist manually. Various environments, talking, facial expressions, and head movements are involved in data collection, which meets the situations in practical usage. Specific to camera-based AF screening, a novel CNN-based architecture equipped with an attention mechanism is proposed. It is capable of fusing heartbeat consistency, heart rate variability derived from remote photoplethysmography, and motion features simultaneously to reliable outputs. With the proposed model, the performance of intra-database evaluation comes up to 96.62% of sensitivity, 90.61% of specificity, and 0.96 of AUC. Furthermore, to check the capability of adaptation of the proposed method thoroughly, the cross-database evaluation is also conducted, and the performance also reaches about 90% on average with the AUCs being over 0.94 in both clinical sites.
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2024.3368049
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Mitigating Domain Mismatch in Face Recognition Using Style Matching

    Lin, Chun-Hsien / Wu, Bing-Fei

    2021  

    Abstract: Despite outstanding performance on public benchmarks, face recognition still suffers due to domain mismatch between training (source) and testing (target) data. Furthermore, these domains are not shared classes, which complicates domain adaptation. Since ...

    Abstract Despite outstanding performance on public benchmarks, face recognition still suffers due to domain mismatch between training (source) and testing (target) data. Furthermore, these domains are not shared classes, which complicates domain adaptation. Since this is also a fine-grained classification problem which does not strictly follow the low-density separation principle, conventional domain adaptation approaches do not resolve these problems. In this paper, we formulate domain mismatch in face recognition as a style mismatch problem for which we propose two methods. First, we design a domain discriminator with human-level judgment to mine target-like images in the training data to mitigate the domain gap. Second, we extract style representations in low-level feature maps of the backbone model, and match the style distributions of the two domains to find a common style representation. Evaluations on verification and open-set and closed-set identification protocols show that both methods yield good improvements, and that performance is more robust if they are combined. Our approach is competitive with related work, and its effectiveness is verified in a practical application.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004 ; 006
    Publishing date 2021-02-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Domain Adapting Ability of Self-Supervised Learning for Face Recognition

    Lin, Chun-Hsien / Wu, Bing-Fei

    2021  

    Abstract: Although deep convolutional networks have achieved great performance in face recognition tasks, the challenge of domain discrepancy still exists in real world applications. Lack of domain coverage of training data (source domain) makes the learned models ...

    Abstract Although deep convolutional networks have achieved great performance in face recognition tasks, the challenge of domain discrepancy still exists in real world applications. Lack of domain coverage of training data (source domain) makes the learned models degenerate in a testing scenario (target domain). In face recognition tasks, classes in two domains are usually different, so classical domain adaptation approaches, assuming there are shared classes in domains, may not be reasonable solutions for this problem. In this paper, self-supervised learning is adopted to learn a better embedding space where the subjects in target domain are more distinguishable. The learning goal is maximizing the similarity between the embeddings of each image and its mirror in both domains. The experiments show its competitive results compared with prior works. To know the reason why it can achieve such performance, we further discuss how this approach affects the learning of embeddings.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2021-02-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Commentary on risk factors for first and subsequent cardiovascular disease events in type 1 diabetes: The Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications study.

    Lin, Chun-Hsien / Chang, Chia-Hsuin / Chuang, Lee-Ming

    Journal of diabetes investigation

    2020  Volume 12, Issue 3, Page(s) 313–316

    MeSH term(s) Cardiovascular Diseases/complications ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/prevention & control ; Diabetes Mellitus, Type 1/complications ; Diabetes Mellitus, Type 1/epidemiology ; Glycemic Control ; Humans ; Risk Factors
    Language English
    Publishing date 2020-10-28
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2625840-7
    ISSN 2040-1124 ; 2040-1116
    ISSN (online) 2040-1124
    ISSN 2040-1116
    DOI 10.1111/jdi.13420
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Efficacy of endovascular therapy for basilar and vertebral artery occlusion: A systematic review and meta-analysis of randomized controlled trials.

    Lin, Chun-Hsien / Liebeskind, David S / Ovbiagele, Bruce / Lee, Meng / Saver, Jeffrey L

    European journal of internal medicine

    2022  Volume 110, Page(s) 22–28

    Abstract: Background: The best management for acute basilar artery occlusion (BAO) has increasingly been clarified by recent randomized controlled trials (RCTs). We conducted a systematic review and meta-analysis of RCTs comparing endovascular therapy (EVT) vs ... ...

    Abstract Background: The best management for acute basilar artery occlusion (BAO) has increasingly been clarified by recent randomized controlled trials (RCTs). We conducted a systematic review and meta-analysis of RCTs comparing endovascular therapy (EVT) vs best medical management (BMM).
    Methods: We searched PubMed, Embase, the CENTRAL, and ClinicalTrials.gov from January 1, 2000, to November 20, 2022. We included RCTs comparing EVT vs BMM in BAO or bilateral vertebral artery occlusion (VAO). Primary outcome was ambulation (modified Rankin Scale score [mRS] 0-3) at 90 days. Secondary outcomes were independence (mRS 0-2) at 90 days, death by 90 days, and symptomatic intracranial hemorrhage (sICH). Risk ratio (RR) with 95% CI was used as a measure of the association of EVT vs BMM with outcomes.
    Results: Final analyses included 4 RCTs with 988 patients with BAO or VAO. Pooled results showed that EVT vs BMM was associated with an increased rate of 90-day ambulation (RR 1.54, 95% CI 1.16-2.05), independence (RR 1.83, 1.08-3.08) and a reduced risk of mortality (RR 0.76, 0.65-0.89), but an increased risk of sICH (RR 7.48, 2.27-24.62) and the benefits might be confined to patients with BAO but not patients with VAO. EVT effect was modified by occlusion location with the basilar artery, with greatest benefit for proximal, intermediate benefit for middle, and least benefit for distal occlusions.
    Conclusion: EVT compared with BMM might be associated with an increased rate of ambulation, independence and survival but with an increased risk of sICH in patients with acute BAO.
    MeSH term(s) Humans ; Stroke ; Vertebral Artery ; Treatment Outcome ; Endovascular Procedures/adverse effects ; Endovascular Procedures/methods ; Randomized Controlled Trials as Topic ; Thrombectomy/adverse effects ; Intracranial Hemorrhages/etiology
    Language English
    Publishing date 2022-12-25
    Publishing country Netherlands
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 1038679-8
    ISSN 1879-0828 ; 0953-6205
    ISSN (online) 1879-0828
    ISSN 0953-6205
    DOI 10.1016/j.ejim.2022.12.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Effects of endovascular therapy for mild stroke due to proximal or M2 occlusions: meta-analysis.

    Lin, Chun-Hsien / Saver, Jeffrey L / Ovbiagele, Bruce / Tang, Sung-Chun / Lee, Meng / Liebeskind, David S

    Journal of neurointerventional surgery

    2022  Volume 15, Issue 4, Page(s) 350–354

    Abstract: Objective: To conduct a meta-analysis to evaluate the effect of endovascular therapy (EVT) in mild acute ischemic stroke (AIS) due to proximal versus distal occlusions.: Methods: We searched PubMed, Embase, the Cochrane Library, and clinicaltrials ... ...

    Abstract Objective: To conduct a meta-analysis to evaluate the effect of endovascular therapy (EVT) in mild acute ischemic stroke (AIS) due to proximal versus distal occlusions.
    Methods: We searched PubMed, Embase, the Cochrane Library, and clinicaltrials.gov from January 2000 to September 2021 to identify studies comparing EVT versus best medical management (BMM) in AIS with National Institutes of Health Stroke Scale (NIHSS) scores ≤5 due to proximal internal carotid artery (ICA) or M1 versus distal M2 occlusions. We included studies that reported the number of patients with proximal or distal occlusions separately and reported the number of patients with freedom of disability (modified Rankin Scale (mRS) score 0-1) or functional independence (mRS score 0-2) at 90 days in proximal or M2 occlusions, respectively. OR with 95% CI was used.
    Results: We identified six studies with 653 proximal ICA and M1 occlusion patients and 666 distal M2 occlusion patients. Pooled results showed EVT versus BMM was associated with a higher rate of being disability-free in patients with proximal occlusions (OR 1.58, 95% CI 1.09 to 2.30), but was associated with a lower rate of being disability-free in patients with M2 occlusions (OR 0.70, 95% CI 0.49 to 0.99). Effect of EVT in proximal versus distal occlusions was substantially different (P for interaction=0.002). A similar pattern was seen for functional independence (P for interaction=0.05).
    Conclusions: For patients with mild AIS, observational data suggest that EVT may be beneficial for proximal ICA or M1 but not for distal M2 occlusions. Randomized trials are needed to confirm these findings.
    Prospero registration number: CRD42021281034.
    MeSH term(s) Humans ; Brain Ischemia/etiology ; Brain Ischemia/surgery ; Brain Ischemia/therapy ; Carotid Artery Diseases/complications ; Carotid Artery Diseases/surgery ; Carotid Artery Diseases/therapy ; Endovascular Procedures ; Infarction, Middle Cerebral Artery/complications ; Infarction, Middle Cerebral Artery/surgery ; Infarction, Middle Cerebral Artery/therapy ; Ischemic Stroke/etiology ; Ischemic Stroke/surgery ; Ischemic Stroke/therapy ; Thrombectomy/methods ; Treatment Outcome
    Language English
    Publishing date 2022-03-15
    Publishing country England
    Document type Comparative Study ; Journal Article ; Meta-Analysis ; Systematic Review
    ZDB-ID 2514982-9
    ISSN 1759-8486 ; 1759-8478
    ISSN (online) 1759-8486
    ISSN 1759-8478
    DOI 10.1136/neurintsurg-2022-018662
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Non-meningeal, non-pulmonary cryptococcosis with limited posterior uveitis in a kidney organ transplant recipient with antibody-mediated rejection: a case report.

    Lu, Yi-An / Lin, Chun-Hsien / Chang, Chia-Jen / Shu, Kuo-Hsiung / Chung, Mu-Chi / Chou, Chien-Chih

    BMC ophthalmology

    2023  Volume 23, Issue 1, Page(s) 409

    Abstract: Background: Cryptococcosis is one of the most frequent fungal eye infections in patients with immunosuppression. Currently, treatment approaches for non-meningeal, non-pulmonary cryptococcosis are based on those used for cryptococcal meningitis or ... ...

    Abstract Background: Cryptococcosis is one of the most frequent fungal eye infections in patients with immunosuppression. Currently, treatment approaches for non-meningeal, non-pulmonary cryptococcosis are based on those used for cryptococcal meningitis or pneumonia.
    Case presentation: We present a rare case of non-meningeal, non-pulmonary cryptococcosis with clinical manifestations limited to one eye of a cadaveric kidney transplant recipient with chronic-active antibody-mediated rejection. Typical manifestations, diagnosis, and treatments, including antifungal therapies, adjunctive therapies, and immunosuppression reduction, are discussed. After timely diagnosis and treatment, her visual acuity recovered to baseline without recurrence or sequelae of cryptococcosis.
    Conclusions: Clinicians should be aware of rare presentations of fungal infections, especially when a kidney transplant recipient with rejection has been treated with intensive immunosuppressants. Early diagnosis with individualized therapies may have a favorable prognosis.
    MeSH term(s) Humans ; Female ; Antifungal Agents/therapeutic use ; Kidney Transplantation/adverse effects ; Cryptococcosis/diagnosis ; Cryptococcosis/drug therapy ; Cryptococcosis/microbiology ; Immunosuppressive Agents/therapeutic use ; Kidney
    Chemical Substances Antifungal Agents ; Immunosuppressive Agents
    Language English
    Publishing date 2023-10-10
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2050436-6
    ISSN 1471-2415 ; 1471-2415
    ISSN (online) 1471-2415
    ISSN 1471-2415
    DOI 10.1186/s12886-023-03130-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

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