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Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion
BackgroundKnowledge graphs (KGs), especially medical knowledge graphs, are often significantly incomplete, so it necessitating a demand for medical...
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Exploring semantic consistency in unpaired image translation to generate data for surgical applications
PurposeIn surgical computer vision applications, data privacy and expert annotation challenges impede the acquisition of labeled training data....
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Correlation Aware Relevance-Based Semantic Index for Clinical Big Data Repository
In this paper, we focus on indexing mechanisms for unstructured clinical big integrated data repository systems. Clinical data is unstructured and...
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Verbal learning in frontal patients: area 9 is critical for employing semantic strategies
IntroductionLearning is a long-term memory process heavily influenced by the control processes implemented by working memory, including recognition...
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Holistic OR domain modeling: a semantic scene graph approach
PurposeSurgical procedures take place in highly complex operating rooms (OR), involving medical staff, patients, devices and their interactions....
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Semantic characteristic grading of pulmonary nodules based on deep neural networks
BackgroundAccurate grading of semantic characteristics is helpful for radiologists to determine the probabilities of the likelihood of malignancy of...
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BertSRC: transformer-based semantic relation classification
The relationship between biomedical entities is complex, and many of them have not yet been identified. For many biomedical research areas including...
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AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
BackgroundAutomated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status...
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Longitudinal changes in qualitative aspects of semantic fluency in presymptomatic and prodromal genetic frontotemporal dementia
BackgroundThe semantic fluency test is one of the most widely used neuropsychological tests in dementia diagnosis. Research utilizing the...
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A semantic fidelity interpretable-assisted decision model for lung nodule classification
PurposeEarly diagnosis of lung nodules is important for the treatment of lung cancer patients, existing capsule network-based assisted diagnostic...
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Lower semantic fluency scores and a phonemic-over-semantic advantage predict abnormal CSF P-tau181 levels in Aβ + patients within the Alzheimer’s disease clinical spectrum
BackgroundThe present study aimed to determine whether patients with mild cognitive impairment (MCI) and dementia due to Alzheimer’s disease (AD),...
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Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management
PurposeIntracranial aneurysms are vascular deformations in the brain which are complicated to treat. In clinical routines, the risk assessment of...
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COVID-19 information retrieval with deep-learning based semantic search, question answering, and abstractive summarization
The COVID-19 global pandemic has resulted in international efforts to understand, track, and mitigate the disease, yielding a significant corpus of...
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Development of an Arabic test for assessment of semantics for the Arabic-speaking children: the Arabic semantic test
BackgroundSemantics is the study of meaning, and it pertains to the meanings of linguistic expressions such as words, phrases, grammatical forms, and...
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Overcoming challenges in rare disease registry integration using the semantic web - a clinical research perspective
The growing number of disease-specific patient registries for rare diseases has highlighted the need for registry interoperability and data linkage,...
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A spatio-temporal network for video semantic segmentation in surgical videos
PurposeSemantic segmentation in surgical videos has applications in intra-operative guidance, post-operative analytics and surgical education. Models...
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Evaluating semantic similarity methods for comparison of text-derived phenotype profiles
BackgroundSemantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they...
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Hemispheric lateralization of semantic processing before and after aripiprazole treatment in first-episode psychosis or ultra-high risk state
Whether aberrant language-related lateralization can be improved after antipsychotic treatment in drug-free patients with first-episode psychosis or...
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The Semantic Association Test (SAT): normative data from healthy Italian participants and a validation study in aphasic patients
The Semantic Association Test assesses several aspects of Semantic Memory ( Categorical , Encyclopedic , Functional , and Visual Encyclopedic ...
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ISO/TS 21564:2019- based Evaluation of a Semantic Map between Variables in the ISARIC Freestanding Follow Up Survey and ORCHESTRA Studies
The COVID-19 pandemic has led to tremendous investment in clinical studies to generate much-needed knowledge on the prevention, diagnosis, treatment...
