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Classification, detection, and segmentation performance of image-based AI in intracranial aneurysm: a systematic review
BackgroundThe detection and management of intracranial aneurysms (IAs) are vital to prevent life-threatening complications like subarachnoid...
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Brazilian Portuguese version and content validity of the Strengthening and Stretching for Rheumatoid Arthritis of the Hand (SARAH)
IntroductionThe Strengthening and Stretching for Rheumatoid Arthritis of the Hand (SARAH) program is a personalized, progressive 12-week exercise...
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Hellenic registry of patients with home mechanical ventilation (HR-HMV): profiling sleep Apnea–Hypopnea syndrome patients across Greece
BackgroundChronic respiratory conditions are a prominent public health issue and thus, building a patient registry might facilitate both policy...
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Artificial intelligence applied to laparoscopic cholecystectomy: what is the next step? A narrative review
Artificial Intelligence (AI) is playing an increasing role in several fields of medicine. AI is also used during laparoscopic cholecystectomy (LC)...
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Identification of apoptosis-related key genes and the associated regulation mechanism in thoracic aortic aneurysm
BackgroundThis study investigated the role of apoptosis-related genes in thoracic aortic aneurysms (TAA) and provided more insights into TAA's...
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Exploring hot topics and evolutionary paths in the Diagnosis-Related Groups (DRGs) field: a comparative study using LDA modeling
BackgroundThis study reviews the research status of Diagnosis-related groups (DRGs) payment system in China and globally by analyzing topical issues...
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Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study
BackgroundElectronic medical records (EMRs) contain a wealth of information related to breast cancer diagnosis and treatment. Extracting relevant...
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Connected speech features in non-English speakers with Alzheimer’s disease: protocol for sco** review
BackgroundA large body of literature indicates that connected speech profiles in patients with Alzheimer’s disease (AD) can be utilized for...
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Operationalizing and digitizing person-centered daily functioning: a case for functionomics
An ever-increasing amount of data on a person’s daily functioning is being collected, which holds information to revolutionize person-centered...
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Exploring the Landscape of Salivary Gland Disorders: A Comprehensive Bibliometric Analysis
ObjectiveThis study aims to conduct a major bibliometric analysis of salivary gland disorders, exploring publication characteristics, trends, and...
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ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials
BackgroundScreening for eligible patients continues to pose a great challenge for many clinical trials. This has led to a rapidly growing interest in...
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Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique
Image segmentation is a crucial task in computer vision and image processing, with numerous segmentation algorithms being found in the literature. It...
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A Novel Computerized Cognitive Stress Test to Detect Mild Cognitive Impairment
BackgroundThe Loewenstein Acevedo Scales of Semantic Interference and Learning (LASSI-L) is a novel and increasingly employed instrument that has...
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Characteristics and specifications of dashboards developed for the COVID-19 pandemic: a sco** review
AimThe use of information-based solutions such as dashboards is on the rise for taking fact-based actions against the COVID-19 crisis. This sco**...
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MedTAG: a portable and customizable annotation tool for biomedical documents
BackgroundSemantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L) require plenty of...
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Retrospective charts for reporting, analysing, and evaluating disaster emergency response: a systematic review
ObjectiveGiven the frequency of disasters worldwide, there is growing demand for efficient and effective emergency responses. One challenge is to...
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A cross-sectional survey examining motivation and beliefs to participating in a web-based prospective cohort study on nutrition and health among individuals with a low socioeconomic status
BackgroundProspective cohort studies may support public health efforts in reducing health inequalities. However, individuals with a low socioeconomic...
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Assessing the Impact of Urban Environments on Mental Health and Perception Using Deep Learning: A Review and Text Mining Analysis
Understanding how outdoor environments affect mental health outcomes is vital in today’s fast-paced and urbanized society. Recently, advancements in...
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Effects of fruit and vegetable intake on memory and attention: a systematic review of randomized controlled trials
BackgroundMemory and attention are important for daily functioning, and their function deteriorates due to aging. However, fruit and vegetable...
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METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII
PurposeTo propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies.
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