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How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts
In recent years, there has been a dramatic increase in research papers about machine learning (ML) and artificial intelligence in radiology. With so...
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Technology as the key to women’s empowerment: a sco** review
BackgroundInformation and communications technologies (ICTs) have empowered people to communicate and network at a global scale. However, there is...
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Machine learning and deep learning for classifying the justification of brain CT referrals
ObjectivesTo train the machine and deep learning models to automate the justification analysis of radiology referrals in accordance with iGuide...
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Identification of Hub Genes and Key Pathways Associated with Peripheral T-cell Lymphoma
Peripheral T-cell lymphoma (PTCL) is a very aggressive and heterogeneous hematological malignancy and has no effective targeted therapy. The...
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Construction of an Assisted Model Based on Natural Language Processing for Automatic Early Diagnosis of Autoimmune Encephalitis
IntroductionEarly diagnosis and etiological treatment can effectively improve the prognosis of patients with autoimmune encephalitis (AE). However,...
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Analysis of the evolving factors of social media users’ emotions and behaviors: a longitudinal study from China’s COVID-19 opening policy period
The outbreak of the COVID-19 pandemic has triggered citizen panic and social crises worldwide. The Chinese government was the first to implement...
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Disease knowledge and patient education are key players for a better quality of life in vascular surgery patients
BackgroundThe aim of this prospective investigation was to determine factors that influence the verbal disease knowledge level of the patient after...
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Defining key design elements of registry-based randomised controlled trials: a sco** review
BackgroundTraditional randomised controlled trials remain the gold standard for improving clinical care but they do have their limitations, including...
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Use of narrative medicine to identify key factors for effective doctor–patient relationships in severe asthma
BackgroundIn this project the authors use a narrative medicine (NM) approach to assess the promotion of trust in the relationship between physicians...
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Diagnostic Enigma of Adenoid Ameloblastoma: Literature Review Based Evidence to Consider It as a New Sub Type of Ameloblastoma
Adenoid ameloblastoma is a hybrid odontogenic tumour showing histopathological features of both ameloblastoma and adenomatoid odontogenic tumour...
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Illegal Online Gambling Site Detection using Multiple Resource-Oriented Machine Learning
The COVID-19 pandemic has led to faster digitalization and illegal online gambling has become popular. As illegal online gambling brings not only...
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An evidence-informed policymaking (EIPM) competency profile for the Brazilian Health System developed through consensus: process and outcomes
BackgroundEvidence-informed policymaking (EIPM) requires a set of individual and organizational knowledge, skills and attitudes that should be...
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Common Data Elements for Disorders of Consciousness: Recommendations from the Working Group on Biospecimens and Biomarkers
BackgroundIn patients with disorders of consciousness (DoC), laboratory and molecular biomarkers may help define endotypes, identify therapeutic...
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Natural language processing: using artificial intelligence to understand human language in orthopedics
Natural language processing (NLP) describes the broad field of artificial intelligence by which computers are trained to understand and generate...
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Public engagement in health technology assessment in Brazil: the case of the public consultation on National Clinical Guidelines for Care in Normal Birth
BackgroundThere is a growing body of literature that recognizes the importance of public engagement in health technology assessment. However, there...
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Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies
An update of the chapter on Mental, Behavioral and Neurodevelopmental Disorders in the International Classification of Diseases and Related Health...
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A bio-economic simulation study on the association between key performance indicators and pluck lesions in Irish farrow-to-finish pig farms
BackgroundPluck lesions are associated with decreased performance in grower-finisher pigs, but their economic impact needs to be further...
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Evaluation of a prototype machine learning tool to semi-automate data extraction for systematic literature reviews
BackgroundEvidence-based medicine requires synthesis of research through rigorous and time-intensive systematic literature reviews (SLRs), with...
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Malunited calcaneal fracture: the role and technique of osteotomy—a systematic review
PurposeThe research is aimed to introduce various corrective osteotomies utilized in treating calcaneal malunions in published papers, to further...
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Aligning text mining and machine learning algorithms with best practices for study selection in systematic literature reviews
BackgroundDespite existing research on text mining and machine learning for title and abstract screening, the role of machine learning within...
