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Supervised and unsupervised techniques to analyze risk factors associated with motorcycle crash
PurposeMotorcycles are one of the highly used modes of transport in Barcelona, Spain, in particular, and in many different regions, in general. This...
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Adherence predictor variables in AIDS patients: an empirical study using the data mining-based RFM model
BackgroundHighly active antiretroviral therapy (ART) is still the only effective method to stop the disease progression in acquired immunodeficiency...
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Cancer Patients’ Social Relationships During 3 Years After Diagnosis—Generic and Cancer-Specific Social Networks
BackgroundSocial relationships are important health resources and may be investigated as social networks. We measured cancer patients’ social...
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Artificial intelligence-based analysis of associations between learning curve and clinical outcomes in endoscopic and microsurgical lumbar decompression surgery
PurposeA common spine surgery procedure involves decompression of the lumbar spine. The impact of the surgeon’s learning curve on relevant clinical...
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Increased lesion depth, higher body mass index and older age are risk factors for osteoarthritis during long-term follow-up in patients with osteochondritis dissecans of the knee
IntroductionTo report on the long-term prognosis of osteochondritis dissecans (OCD) patients regarding radiological and patient-reported outcomes and...
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Clusters of comorbidities in fibrotic hypersensitivity pneumonitis
BackgroundHypersensitivity pneumonitis (HP) is a type of interstitial lung disease (ILD) with a variable disease course and prognosis ranging from...
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Künstliche Intelligenz und Ausblick auf Anwendungsfelder in der Pseudarthrosentherapie
Methods of artificial intelligence (AI) have found applications in many fields of medicine within the last few years. Some disciplines already use...
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Improving the second-tier classification of methylmalonic acidemia patients using a machine learning ensemble method
IntroductionMethylmalonic acidemia (MMA) is a disorder of autosomal recessive inheritance, with an estimated prevalence of 1:50,000. First-tier...
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Longitudinal metabolomics of increasing body-mass index and waist-hip ratio reveals two dynamic patterns of obesity pandemic
Background/ObjectiveThis observational study dissects the complex temporal associations between body-mass index (BMI), waist-hip ratio (WHR) and...
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A spatially explicit analysis of chronic diseases in small areas: a case study of diabetes in Santiago, Chile
BackgroundThere is a strong spatial correlation between demographics and chronic diseases in urban areas. Thus, most of the public policies aimed at...
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Comorbidities in unclassifiable interstitial lung disease
BackgroundComorbidities are common in interstitial lung diseases (ILD) and have an important association with survival, but the frequency and...
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The Hintegra total ankle replacement: survivorship, failure modes and patient reported outcomes in seventy consecutive cases with a minimum five year follow-up
PurposeThe Hintegra total ankle replacement (TAR) has been widely used worldwide for ankle arthroplasty since its introduction in 2000. The implant...
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The long-term prognostic value of serum 25(OH)D, albumin, and LL-37 levels in acute respiratory diseases among older adults
BackgroundOlder adults are more susceptible to respiratory tract infection than healthy working age adults. The increased susceptibility of older...
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Artificial intelligence clustering of adult spinal deformity sagittal plane morphology predicts surgical characteristics, alignment, and outcomes
PurposeAI algorithms have shown promise in medical image analysis. Previous studies of ASD clusters have analyzed alignment metrics—this study sought...
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Assessment of Prostate and Bladder Cancer Genomic Biomarkers Using Artificial Intelligence: a Systematic Review
Purpose of ReviewThe aim of the systematic review is to assess AI’s capabilities in the genetics of prostate cancer (PCa) and bladder cancer (BCa) to...
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KRAS mutation is predictive for poor prognosis in rectal cancer patients with neoadjuvant chemoradiotherapy: a systemic review and meta-analysis
PurposeTo investigate the association between KRAS mutation and prognosis in rectal cancer patients with neoadjuvant chemoradiotherapy.
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Exploring the potential of machine learning in gynecological care: a review
Gynecological health remains a critical aspect of women’s overall well-being, with profound implications for maternal and reproductive outcomes. This...
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The pseudokinase NRBP1 activates Rac1/Cdc42 via P-Rex1 to drive oncogenic signalling in triple-negative breast cancer
We have determined that expression of the pseudokinase NRBP1 positively associates with poor prognosis in triple negative breast cancer (TNBC) and is...
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Artificial Intelligence and Acute Appendicitis: A Systematic Review of Diagnostic and Prognostic Models
BackgroundTo assess the efficacy of artificial intelligence (AI) models in diagnosing and prognosticating acute appendicitis (AA) in adult patients...
