相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。
Article
Chemistry, Multidisciplinary
Naofumi Fujishiro et al.
Summary: In this study, a similar text retrieval system was developed using Sentence-BERT (SBERT) for a database of closed medical malpractice claims, and its retrieval accuracy was investigated. Each case in the database was assigned a short Japanese summary of the accident and two labels indicating the category and process. The accuracy of the similar text retrieval system using the trained SBERTs was significantly higher than that of other systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Public, Environmental & Occupational Health
Ingrid Klingmann et al.
Summary: Regulation (EU) 536/2014 brings important innovations for patients in clinical trials and those in need of innovative therapies, including patient protection, data use conditions, and transparency. The introduction of the CTIS improves ongoing trial transparency, but redacting confidential information and delaying data publication may limit transparency. Providing trial summaries and results in layman's language within one year is a major transparency improvement, although the involvement of patients in trial protocol design and ethical review is not mandatory.
BUNDESGESUNDHEITSBLATT-GESUNDHEITSFORSCHUNG-GESUNDHEITSSCHUTZ
(2023)
Review
Psychology, Multidisciplinary
Tanja Burgard et al.
Summary: In our era of accelerated accumulation of knowledge, the manual screening of literature for eligibility is becoming too labor-intensive. Recent advances in machine learning and natural language processing promise to reduce the workload by automatically detecting unseen references. This review provides an overview of 15 tools for screening automation and discusses their characteristics and performance.
ZEITSCHRIFT FUR PSYCHOLOGIE-JOURNAL OF PSYCHOLOGY
(2023)
Review
Dermatology
J. Malvehy et al.
Summary: The new Medical Device Regulation (MDR) in the EU from May 2021 will significantly impact suppliers of medical devices, dermatologists, and other clinicians. The changes are expected to lead to improved quality of devices but may also result in availability issues and price increases.
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY
(2022)
Article
Medicine, General & Internal
Kylie E. Hunter et al.
Summary: This paper provides step-by-step guidance on conducting systematic searches for studies using clinical trials registers, aiming to reduce bias and research waste and increase the reliability of results.
BMJ-BRITISH MEDICAL JOURNAL
(2022)
Article
Mathematical & Computational Biology
Chris Cooper et al.
Summary: This research note focuses on the methods of searching for medical devices, providing guidance on 'how to search' for medical devices. It is written by three experienced searchers/researchers, including a worked example of a search for a fictitious medical device.
RESEARCH SYNTHESIS METHODS
(2022)
Review
Computer Science, Information Systems
Jiafeng Guo et al.
Summary: This article introduces the practical solution of multi-stage ranking pipelines in modern search systems. The focus is on the first-stage retrieval models, where researchers aim to build semantic models to achieve high recall efficiently. The article discusses the current landscape, challenges, and future directions in this field.
ACM TRANSACTIONS ON INFORMATION SYSTEMS
(2022)
Article
Health Care Sciences & Services
Kosta Shatrov et al.
Summary: The implementation of the European Union Medical Device Regulation (MDR) has brought significant regulatory changes to the medical device industry. While the medium- and long-term impacts of the MDR are still uncertain, there is a divergence of opinions regarding its effects on free trade and patient safety. Through an analysis of the MDR, it is suggested that it is likely to strengthen the EU internal market, but its impact on patient safety remains unclear without comprehensive studies based on empirical data.
Article
Computer Science, Information Systems
Islam Akef Ebeid
Summary: In this study, the semantic search and retrieval problem in biomedical digital libraries is investigated. The authors introduce a method called MedGraph, which is based on knowledge graph embedding and provides semantic relevance retrieval and ranking for biomedical literature. The approach is evaluated by comparing it with PubMed's Best Match algorithm and a traditional TF-IDF-based algorithm. Results show that the semantic approach based on knowledge graph modeling offers better search relevance results in biomedical digital libraries.
FRONTIERS IN BIG DATA
(2022)
Article
Computer Science, Artificial Intelligence
Wei Huang et al.
Summary: This article proposes a feature-matching-based uncertainty method to alleviate the data bias issue by resampling selected uncertainty data. To meet the requirement of no additional costs, the authors specially designed an unsupervised fusion feature matching (UFFM), and redesigned classic uncertainty methods for more complex visual tasks. Experimental results demonstrate that the proposed method outperforms other similar techniques.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Ethics
Timo Minssen et al.
Summary: Medical machine learning presents challenges and questions in terms of regulatory evaluation and international considerations. Current regulatory approaches in the USA and Europe, as well as issues such as data privacy, exportation, bias, are being analyzed.
JOURNAL OF LAW AND THE BIOSCIENCES
(2021)
Article
Information Science & Library Science
Jennifer C. Westrick et al.
Summary: Medical librarians often search for various types of clinical trials when assisting researchers with systematic reviews, but there is no consistent method for creating search strategies to locate diverse types of trials. Despite feeling confident in their searching skills, librarians express a clear need for more information on study design methodology.
JOURNAL OF THE MEDICAL LIBRARY ASSOCIATION
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
R. Beckers et al.
Summary: This paper discusses the increasing application of artificial intelligence by medical device manufacturers and health institutions, highlighting the key role of qualified medical physicist experts in the process. The new European Medical Device Regulation imposes stringent requirements for the development of AI-based medical device software.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Article
Multidisciplinary Sciences
Joshua L. Schoenbachler et al.
Summary: pmparser and PMDB allow for large-scale, reproducible, and transparent analyses of biomedical literature.
Article
Medicine, Research & Experimental
Patrice Vincent
Summary: Viscosupplementation with hyaluronic acid (HA) injections is widely used to reduce pain in osteoarthritis (OA). A comparative review of ARTHERUM devices and other equivalent IA HA devices showed that ARTHERUM was as effective if not better in reducing pain and improving function over a six-month period. The risk benefit ratio favored the use of viscosupplementation with ARTHERUM due to good tolerance and efficacy results.
CURRENT THERAPEUTIC RESEARCH-CLINICAL AND EXPERIMENTAL
(2021)
Article
Computer Science, Information Systems
Xuedong Tian et al.
Summary: An approach for scientific document retrieval based on HFS and BERT was proposed, which combines the advantages of HFS in decision making and BERT in context-dependent similarity calculation to improve accuracy in mathematical expression recall. The method was evaluated on a dataset and achieved an average MAP_k of 74.13% and an average nDCG of 86.04% for scientific document ranking.
Article
Computer Science, Information Systems
Harrisen Scells et al.
Summary: Systematic reviews target highly focused research questions and require expertise in developing complex Boolean queries. Computational adaptations of information specialists' query formulation methods have been proposed to provide a starting point for query development. The objective method is more effective for query formulation alone, while the conceptual method is better for manual query refinement.
INFORMATION RETRIEVAL JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Andres Carvallo et al.
Article
Health Care Sciences & Services
Tomohide Yamada et al.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2020)
Proceedings Paper
Computer Science, Information Systems
Jingtao Zhan et al.
PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)
(2020)
Article
Computer Science, Artificial Intelligence
Anna Rogers et al.
TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS
(2020)
Review
Cardiac & Cardiovascular Systems
Nicolas Martelli et al.
CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY
(2019)
Article
Computer Science, Interdisciplinary Applications
Elisabetta Bianchini et al.
JOURNAL OF BIOMEDICAL INFORMATICS
(2019)
Article
Computer Science, Information Systems
Masaki Eto
INFORMATION PROCESSING & MANAGEMENT
(2019)
Review
Anesthesiology
Milind S. Tullu
SAUDI JOURNAL OF ANAESTHESIA
(2019)
Proceedings Paper
Computer Science, Hardware & Architecture
Daniel Cohen et al.
PROCEEDINGS OF THE 2019 ACM SIGIR INTERNATIONAL CONFERENCE ON THEORY OF INFORMATION RETRIEVAL (ICTIR'19)
(2019)
Editorial Material
Engineering, Biomedical
Antonio Migliore
EXPERT REVIEW OF MEDICAL DEVICES
(2016)
Proceedings Paper
Computer Science, Theory & Methods
Gordon V. Cormack et al.
SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL
(2015)
Article
Multidisciplinary Sciences
Asba Tasneem et al.
