bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach
Authors: Chung Joowon , Kim Doyun , Choi Jongmun , Yune Sehyo , Song Kyoung Doo , Kim Seonkyoung , Chua Michelle , Succi Marc D. , Conklin John , Longo Maria G. Figueiro , Ackman Jeanne B. , Petranovic Milena , Lev Michael H. , Do Synho 
Published: December 2022

AbstractRisk prediction requires comprehensive integration of clinical information and concurrent radiological findings. We present an upgraded chest radiograph (CXR) explainable artificial intelligence (xAI) model, which was trained on 241,723 well-annotated CXRs obtained prior to the onset of the COVID-19 pandemic. Mean area under the receiver operating characteristic curve (AUROC) for detection of 20 radiographic features was 0.955 (95% CI 0.938–0.955) on PA view and 0.909 (95% CI 0.890–0.925) on AP view. Coexistent and correlated radiographic findings are displayed in an interpretation table, and calibrated classifier confidence is displayed on an AI scoreboard. Retrieval of similar feature patches and comparable CXRs from a Model-Derived Atlas provides justification for model predictions. To demonstrate the feasibility of a fine-tuning approach for efficient and scalable development of xAI risk prediction models, we applied our CXR xAI model, in combination with clinical information, to predict oxygen requirement in COVID-19 patients. Prediction accuracy for high flow oxygen (HFO) and mechanical ventilation (MV) was 0.953 and 0.934 at 24 h and 0.932 and 0.836 at 72 h from the time of emergency department (ED) admission, respectively. Our CXR xAI model is auditable and captures key pathophysiological manifestations of cardiorespiratory diseases and cardiothoracic comorbidities. This model can be efficiently and broadly applied via a fine-tuning approach to provide fully automated risk and outcome predictions in various clinical scenarios in real-world practice.
Analysing sector coupling technologies for Re‐purposing coal‐fired power plants–Case study for the ENTSO‐E grid
Authors: Traupmann Anna , Greiml Matthias , Steinegger Josef , Kühberger Lisa , Kienberger Thomas 
Published: December 2022

AbstractThe high emission intensity of coal‐fired power plants (CFPP) leads to the inevitable next step towards energy transition, the coal phase‐out. One challenge is the subsequent use of still‐functioning assets. Re‐purposing these assets avoids value loss and creates new opportunities for coal regions. Therefore, this study considers the sector coupling technologies Power‐to‐Gas (PtG) and Gas‐to‐Power (GtP) as re‐purposing options. First, a multi‐variable Mixed‐Integer Linear Programming optimisation model is established. This model includes the participation of the plant in the current (2020) and future (2030, 2040) electricity and natural gas spot‐markets and the balancing power market while fulfilling existing contracts, and allows for determining the re‐purposing technologies' operating profiles. By applying a techno‐economic analysis, investment recovery periods of the considered re‐purposing technologies are assessed, which range between two (GtP) and over ten (PtG) years. A sensitivity analysis accounting for current energy prices and technological advancements reveals capital expenditure has the highest impact on this Return‐On‐Investment period. Additionally, a case study considering the Austrian energy grids is performed to account for the grid impact of integrating these technologies at former CFPP sites. Thus, it is found that the investigated sector coupling technologies have the potential to compensate for grid congestions even in profit‐optimised operation.
Comprehensive analysis of alternative splicing signatures in pancreatic head cancer
Authors: Zhou Lingshan , Yang Yuan , Ma Jian , Liu Min , Liu Rong , Ma Xiaopeng , Qiao Chengdong 
Published: December 2022

AbstractThe correlation between dysregulation of splicing and cancers has been increasingly recognised and confirmed. The identification of valuable alternative splicing (AS) in pancreatic head cancer (PHC) has a great significance. AS profiles in PHC were generated using the data from The Cancer Genome Atlas and TCGASpliceSeq. Then, the NMF clustering method was performed to identify overall survival‐associated AS (OS‐AS) subtypes in PHC patients. Subsequently, we used least absolute shrinkage and selection operator Cox regression analysis to construct an AS‐related risk model. The splicing regulatory network was uncovered by Cytoscape 3.7. A total of 1694 OS‐AS events were obtained. The PHC patients were divided into clusters 1 and 2. Cluster 1 had poorer prognosis and lower infiltration of immune cells. Subsequently, a prognostic signature was established that showed good performance in predicting OS and progression‐free survival. The risk score of this signature was associated with the unique tumour immunity. Moreover, a nomogram incorporating the risk score and clinicopathological parameters was established. Finally, a splicing factor‐AS regulatory network was developed. A comprehensive analysis of the AS events in PHC associated with prognosis and tumour immunity may help provide reliable information to guide individual treatment strategies.
S1-Leitlinie Long-/Post-COVID
Authors: Koczulla A. R. , Ankermann T. , Behrends U. , Berlit P. , Berner R. , Böing S. , Brinkmann F. , Frank U. , Franke C. , Glöckl R. , Gogoll C. , Häuser W. , Hohberger B. , Huber G. , Hummel T. , Köllner V. , Krause S. , Kronsbein J. , Maibaum T. , Otto-Thöne A. , Pecks U. , Peters E. M. J. , Peters S. , Pfeifer M. , Platz T. , Pletz M. , Powitz F. , Rabe K. F. , Scheibenbogen C. , Schneider D. , Stallmach A. , Stegbauer M. , Tenenbaum T. , Töpfner N. , von Versen-Höynck F. , Wagner H. O. , Waller C. , Widmann C. N. , Winterholler C. , Wirtz H. , Zwick R. 
Published: December 2022

ZusammenfassungDie Deutsche Gesellschaft für Pneumologie hat 2021 die AWMF S1-Leitlinie Long-/Post-COVID initiiert. In einem breiten interdisziplinären Ansatz wurde diese S1-Leitlinie basierend auf dem aktuellen Wissensstand gestaltet.Die klinische Empfehlung beschreibt die aktuellen Long- bzw. Post-COVID-Symptome, diagnostische Ansätze und Therapien.Neben der allgemeinen und konsentierten Einführung wurde ein fachspezifischer Zugang gewählt, der den aktuellen Wissensstand zusammenfasst.Die Leitlinie hat einen explizit praktischen Anspruch und wird basierend auf dem aktuellen Wissenszugewinn vom Autorenteam weiterentwickelt und adaptiert.
Schlangenbissvergiftungen – Inzidenz, Giftwirkung, Erste Hilfe und Therapie
Authors: Blessmann Jörg , Hosemann Deborah , Hunstig Friederike , Kreuels Benno 
Published: December 2022

ZUSAMMENFASSUNGMit jährlich geschätzten 81 000–138 000 Todesfällen sind Schlangenbissvergiftungen die tödlichste Erkrankung auf der WHO-Liste der vernachlässigten Tropenkrankheiten. Die meisten Schlangenbissvergiftungen treten in Asien und Afrika auf, vor allem in ländlichen Gebieten. Die Giftwirkung ist überwiegend hämatotoxisch oder neurotoxisch. Zudem verursachen Zytotoxine Schwellungen und Gewebsnekrosen. Zur spezifischen Therapie werden Antivenine eingesetzt, die meist aus Pferdeserum gewonnen werden. Der Zugang zu Antiveninen ist häufig nicht gewährleistet, vor allem in Ländern mit niedrigen und mittleren Einkommen. Neben der Aufklärung und praktischen Empfehlungen ist Armutsbekämpfung die beste Prävention. Um das WHO-Ziel einer Mortalitätsreduktion um 50 % bis 2030 zu erreichen, ist eine kostenlose Behandlung mit Antiveninen und eine Gesundheitsaufklärung der Bevölkerung zur Prävention essenziell.
Clinical Informatics Approaches to Understand and Address Cancer Disparities
Authors: Chaunzwa Tafadzwa L. , del Rey Maria Quiles , Bitterman Danielle S. 
Published: December 2022

Objectives: Disparities in cancer incidence and outcomes across race, ethnicity, gender, socioeconomic status, and geography are well-documented, but their etiologies are often poorly understood and multifactorial. Clinical informatics can provide tools to better understand and address these disparities by enabling high-throughput analysis of multiple types of data. Here, we review recent efforts in clinical informatics to study and measure disparities in cancer.
Methods: We carried out a narrative review of clinical informatics studies related to cancer disparities and bias published from 2018-2021, with a focus on domains such as real-world data (RWD) analysis, natural language processing (NLP), radiomics, genomics, proteomics, metabolomics, and metagenomics.
Results: Clinical informatics studies that investigated cancer disparities across race, ethnicity, gender, and age were identified. Most cancer disparities work within clinical informatics used RWD analysis, NLP, radiomics, and genomics. Emerging applications of clinical informatics to understand cancer disparities, including proteomics, metabolomics, and metagenomics, were less well represented in the literature but are promising future research avenues. Algorithmic bias was identified as an important consideration when developing and implementing cancer clinical informatics techniques, and efforts to address this bias were reviewed.
Conclusions: In recent years, clinical informatics has been used to probe a range of data sources to understand cancer disparities across different populations. As informatics tools become integrated into clinical decision-making, attention will need to be paid to ensure that algorithmic bias does not amplify existing disparities. In our increasingly interconnected medical systems, clinical informatics is poised to untap the full potential of multi-platform health data to address cancer disparities.
Knowledge Representation and Management: Notable Contributions in 2021
Authors: Cui Licong , Dhombres Ferdinand , Charlet Jean 
Published: December 2022

Objectives: To select, present, and summarize the best papers in the field of Knowledge Representation and Management (KRM) published in 2021.
Methods: Following the International Medical Informatics Association (IMIA) Yearbook guidelines, a comprehensive and standardized review of the biomedical informatics literature was performed to select the best KRM papers published in 2021, based on PubMed queries.
Results: A total of 1,231 publications were retrieved from PubMed. We nominated 15 candidate best papers, and four of them were finally selected as the best papers in the KRM section. The topics covered by these papers include knowledge graph, ontology development, ontology alignment, and the International Classification of Diseases.
Conclusion: In the KRM best paper selection for 2021, the candidate best papers covered a wider spectrum of topics compared to the last year’s significant focus on ontology curation. In particular, ontology development for specific domains (e.g., Alzheimer’s disease, infectious diseases, bioethics) has received the most attention.
Inclusive Digital Health
Authors: Mougin Fleur , Hollis Kate Fultz , Soualmia Lina F. 
Published: December 2022

Objectives: To introduce the 2022 International Medical Informatics Association (IMIA) Yearbook by the editors.
Methods: The editorial provides an introduction and overview to the 2022 IMIA Yearbook whose special topic is “Inclusive Digital Health: Addressing Equity, Literacy, and Bias for Resilient Health Systems”. The special topic, survey papers, section editor synopses and some best papers are discussed. The sections’ changes in the Yearbook Editorial Committee are also described.
Results: As shown in the previous edition, health informatics in the context of a global pandemic has led to the development of ways to collect, standardize, disseminate and reuse data worldwide. The Corona Virus Disease 2019 (COVID-19) pandemic has demonstrated the need for timely, reliable, open, and globally available information to support decision making. It has also highlighted the need to address social inequities and disparities in access to care across communities. This edition of the Yearbook acknowledges the fact that much work has been done to study health equity in recent years in the various fields of health informatics research.
Conclusion: There is a strong desire to better consider disparities between populations to avoid biases being induced in Artificial Intelligence algorithms in particular. Telemedicine and m-health must be more inclusive for people with disabilities or living in isolated geographical areas.
Best Research Papers in the Field of Sensors, Signals, and Imaging Informatics 2021
Authors: Baumgartner Christian , Deserno Thomas M. 
Published: December 2022

Objectives: In this synopsis, we identify and highlight research papers representing noteworthy developments in signals, sensors, and imaging informatics in 2021.
Methods: A broad literature search was conducted on PubMed and Scopus databases. We combined Medical Subject Heading (MeSH) terms and keywords to construct particular queries for sensors, signals, and imaging informatics. Except for the sensor section, we only consider papers that have been published in journals providing at least three articles in the query response. Using a three-point Likert scale (1=not include, 2=maybe include, and 3=include), we reviewed the titles and abstracts of all database returns. Only those papers which reached two times three points were further considered for full paper review using the same Likert scale. Again, we only considered works with two times three points and provided these for external reviews. Based on the external reviews, we selected three best papers, as it happens that the three highest ranked papers represent works from all three parts of this section: sensors, signals, and imaging informatics.
Results: The search for papers was executed in January 2022. After removing duplicates and conference proceedings, the query returned a set of 88, 376, and 871 papers for sensors, signals, and imaging informatics, respectively. For signals and images, we filtered out journals that had less than three papers in the query results, reducing the number of papers to 215 and 512, respectively. From this total of 815 papers, the section co-editors identified 35 candidate papers with two times three Likert points, from which nine candidate best papers were nominated after full paper assessment. At least three external reviewers then rated the remaining papers and the three best-ranked papers were selected using the composite rating of all external reviewers. By accident, these three papers represent each of the three fields of sensor, signal, and imaging informatics. They were approved by consensus of the International Medical Informatics Association (IMIA) Yearbook editorial board. Deep and machine learning techniques are still a dominant topic as well as concepts beyond the state-of-the-art.
Conclusions: Sensors, signals, and imaging informatics is a dynamic field of intense research. Current research focuses on creating and processing heterogeneous sensor data towards meaningful decision support in clinical settings.
Black Bone MRI for Virtual Surgical Planning in Craniomaxillofacial Surgery
Authors: Vyas Krishna S. , Suchyta Marissa A. , Hunt Christopher H. , Gibreel Waleed , Mardini Samir 
Published: December 2022

AbstractAdvances in computer-aided design and computer-aided manufacturing software have improved translational applications of virtual surgical planning (VSP) in craniomaxillofacial surgery, allowing for precise and accurate fabrication of cutting guides, stereolithographic models, and custom implants. High-resolution computed tomography (CT) imaging has traditionally been the gold standard imaging modality for VSP in craniomaxillofacial surgery but delivers ionizing radiation. Black bone magnetic resonance imaging (MRI) reduces the risks related to radiation exposure and has comparable functionality when compared with CT for VSP. Our group has studied the accuracy of utilizing black bone MRI in planning and executing several types of craniofacial surgeries, including cranial vault remodeling, maxillary advancement, and mandibular reconstruction using fibular bone. Here, we review clinical applications of black bone MRI pertaining to VSP and three-dimensional (3D)-printed guide creation for craniomaxillofacial surgery. Herein, we review the existing literature and our institutional experience comparing black bone MRI and CT in VSP-generated 3D model creation in cadaveric craniofacial surgeries including cranial vault reconstruction, maxillary advancement, and mandibular reconstruction with fibular free flap. Cadaver studies have demonstrated the ability to perform VSP and execute the procedure based on black bone MRI data and achieve outcomes similar to CT when performed for cranial vault reshaping, maxillary advancement, and mandibular reconstruction with free fibula. Limitations of the technology include increased time and costs of the MRI compared with CT and the possible need for general anesthesia or sedation in the pediatric population. VSP and 3D surgical guide creation can be performed using black bone MRI with comparable accuracy to high-resolution CT scans in a wide variety of craniofacial reconstructions. Successful segmentation, VSP, and 3D printing of accurate guides from black bone MRI demonstrate potential to change the preoperative planning standard of care. Black bone MRI also reduces exposure to ionizing radiation, which is of particular concern for the pediatric population or patients undergoing multiple scans.
Low-Dose Alteplase versus Conventional Anticoagulation to treat Submassive Pulmonary Embolism in Hispanic Patients
Authors: Zientek Emily , Talkington Kelsey , Gardner Joshua , Guo Yi , Mukherjee Debabrata , Rajachandran Manu , Siddiqui Tariq S. , Nickel Nils P. 
Published: December 2022

AbstractThe use of low-dose tissue plasminogen activator (tPA) in Hispanic patients with submassive pulmonary embolism (PE) is understudied.The purpose of this study is to explore the use of low-dose tPA in Hispanic patients with submissive PE compared with counterparts that received heparin alone.We retrospectively analyzed a single-center registry of patients with acute PE between 2016 and 2022. Out of 72 patients admitted for acute PE and cor pulmonale, we identified six patients that were treated with conventional anticoagulation (heparin alone) and six patients who received low-dose tPA (and heparin afterward). We analyzed if low-dose tPA was associated with differences in length of stay (LOS) and bleeding complications.Both groups were similar in regard to age, gender, and PE severity (based on Pulmonary Embolism Severity Index scores). Mean total LOS for the low-dose tPA group was 5.3 days, compared with 7.3 days in the heparin group (p = 0.29). Mean intensive care unit (ICU) LOS for the low-dose tPA group was 1.3 days compared with 3 days in the heparin group (p = 0.035). There were no clinically relevant bleeding complications documented in either the heparin or the low-dose tPA group.Low-dose tPA for submassive PE in Hispanic patients was associated with a shorter ICU LOS without a significant increase in bleeding risk. Low-dose tPA appears to be a reasonable treatment option in Hispanic patients with submassive PE who are not at high bleeding risk (<5%).
Invasive Coronary Physiology Study in Multivessel Coronary Artery Disease
Authors: Zahidin Agita Maryalda , Alkatiri Amir Aziz , Mangkuanom Arwin Saleh , Iryuza Nanda , Firman Doni 
Published: December 2022

AbstractAssessment of relationship between the angiographic stenosis severity and the coronary blood flow is complex. Coronary angiography has many limitations that may impair the judgment of stenosis severity and then affect decision-making regarding intervention. Myocardial perfusion imaging by single-photon emission tomography (MPI-SPECT) is used for a long time to help clinical decisions of interventions, but has limitations, such as issues with identification of extensive coronary artery disease (CAD). Fractional flow reserve (FFR) is a gold standard index for investigating the physiological significance of a coronary stenosis. The instantaneous wave-free ratio (iFR) is a hyperemia-free measurement and easier method to achieve physiological assessment to measure the severity of coronary stenosis. We present a case of multivessel coronary artery disease (MVCAD) patient who was treated with iFR-guided percutaneous coronary intervention (PCI) and emphasize the importance of physiological assessment in PCI.A 63-year-old male with multiple cardiovascular risk factors came to our center with chief complaint of stable angina since 1 year. He underwent MPI-SPECT and the result showed 2.5% of ischemia burden. Coronary angiography showed MVCAD. Surgical conference decided to do PCI. iFR-guided PCI was performed in this case.Our case highlights the importance of iFR as an important cardiology–physiology-based tool as a guide in management decisions for MVCAD. iFR as an alternative approach to physiological study is noninferior compared with FFR-guided PCI.
The timing and mode of foreign exit from conflict zones: A behavioral perspective
Authors: Dai Li , Eden Lorraine , Beamish Paul W. 
Published: December 2022

AbstractWe examine the timing and mode of firm exits from host-country conflict zones. We argue that timing and mode are interdependent decisions where decision ordering matters, and show that a firm’s prioritizing of either exit timing or mode is dependent on the relative salience of two behavioral stimuli: (1) the firm’s own experience (i.e., its performance shortfall), and (2) the experience of peer firms (i.e., their exits). Using instrumental variables modeling on a sample of 101 Japanese MNE exits from 11 conflict-afflicted countries between 1991 and 2005, we demonstrate that, when mode is prioritized over timing, partial exits tend to occur earlier and whole exits later. However, when timing is prioritized over mode, the decision choices reverse: earlier exits tend to be whole and later exits partial. The outcome of one decision therefore affects that of the other in a unique and predictable manner, such that theorderingof the decisions both produces and precludes strategic choices. Our findings, based on a multidecision problem that has traditionally been treated as a single decision (i.e., foreign exit), delineate expanded boundary conditions for satisficing, as well as reconcile optimizing and satisficing behaviors.
Insurance and enterprise: cyber insurance for ransomware
Authors: Baker Tom , Shortland Anja 
Published: December 2022

AbstractSelling insurance gives insurers an incentive to manage insured risks. The “insurance-as-governance” literature demonstrates that insurers often make insurance conditional on ex ante risk reduction or mitigation. But insurance governs in support of enterprise, not security for its own sake. Tight underwriting inhibits enterprise—not only for insured businesses but also for the business of insurance. This paper highlights ex post loss reduction as a form of insurance-based governance. Drawing on interviews with industry insiders, we explore how insurers addressed the evolving problems of moral hazard, uncertainty and correlated losses since the 1990s. We find that cyber insurance developed sophisticated remedies to contain liabilities and quickly restore affected IT systems, but largely left security decisions to the insured. This facilitated enterprise in the short run but undermined security in the longer term: funding and expediting ransom payments encourages further attacks. As businesses improved their resilience, cybercriminals adapted and ransoms escalated, calling insurability into question. Yet there remains little appetite for imposing restrictive conditionality in this highly competitive market. Instead, insurers have turned to governments to contain criminal threats and cushion catastrophic losses.