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Who is on the right track? Behavior-based prediction of diagnostic success in a collaborative diagnostic reasoning simulation
BackgroundMaking accurate diagnoses in teams requires complex collaborative diagnostic reasoning skills, which require extensive training. In this...
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Machine learning constructs a diagnostic prediction model for calculous pyonephrosis
In order to provide decision-making support for the auxiliary diagnosis and individualized treatment of calculous pyonephrosis, the study aims to...
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Lung ultrasound for prediction of surfactant requirement in Indian preterm neonates: a diagnostic accuracy study
Surfactant replacement for respiratory distress syndrome (RDS) is currently guided by oxygen (FiO 2 ) requirement in preterm neonates. Lung ultrasound...
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Study of bearing currents in induction machine: diagnostic possibilities, fault detection, and prediction
Bearing failures in electrical machines pose significant challenges, attracting attention in diagnostic research. The widespread adoption of...
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Gut microbiome-based machine learning for diagnostic prediction of liver fibrosis and cirrhosis: a systematic review and meta-analysis
BackgroundInvasive detection methods such as liver biopsy are currently the gold standard for diagnosing liver cirrhosis and can be used to determine...
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Development and internal validation of a diagnostic prediction model for psoriasis severity
BackgroundWhile administrative health records such as national registries may be useful data sources to study the epidemiology of psoriasis, they do...
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Diagnostic prediction of gastrointestinal graft-versus-host disease based on a clinical- CT- signs nomogram model
ObjectiveGastrointestinal graft-versus-host disease (GI-GVHD) is one of the complications that can easily occur after hematopoietic stem cell...
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Diagnostic performance of prediction models for extraprostatic extension in prostate cancer: a systematic review and meta-analysis
PurposeIn recent decades, diverse nomograms have been proposed to predict extraprostatic extension (EPE) in prostate cancer (PCa). We aimed to...
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ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles
BackgroundEsophageal squamous cell carcinoma (ESCC) is a deadly cancer with no clinically ideal biomarkers for early diagnosis. The objective of this...
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Graph-Based Diagnostic Prediction Model Based on Global Visit Contexts
In the healthcare field, predicting future diagnoses of patients based on their medical history is a critical task. Electronic health records (EHR)...
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Diagnostic accuracy of brain age prediction in a memory clinic population and comparison with clinically available volumetric measures
The aim of this study was to assess the diagnostic validity of a deep learning-based method estimating brain age based on magnetic resonance imaging...
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Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Unreliable predictions can occur when an artificial intelligence (AI) system is presented with data it has not been exposed to during training. We...
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HFpEF as systemic disease, insight from a diagnostic prediction model reminiscent of systemic inflammation and organ interaction in HFpEF patients
Systemic inflammation and reciprocal organ interactions are associated with the pathophysiology of heart failure with preserved ejection fraction...
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Machine learning-based prediction of diagnostic markers for Graves’ orbitopathy
PurposeThe pathogenesis of Graves’ orbitopathy/thyroid-associated orbitopathy (TAO) is still unclear, and abnormal DNA methylation in TAO has been...
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Preliminary evaluation of deep learning for first-line diagnostic prediction of tumor mutational status
The detection of tumour gene mutations by DNA or RNA sequencing is crucial for the prescription of effective targeted therapies. Recent developments...
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Diagnostic accuracy of updated risk assessment criteria and development of novel computational prediction models for patients with suspected choledocholithiasis
BackgroundThere are risks of choledocholithiasis in symptomatic gallstones, and some surgeons have proposed the identification of choledocholithiasis...
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A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well
The diagnostic accuracy of a screening tool is often characterized by its sensitivity and specificity. An analysis of these measures must consider...
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Machine learning-based diagnostic prediction of IgA nephropathy: model development and validation study
IgA nephropathy progresses to kidney failure, making early detection important. However, definitive diagnosis depends on invasive kidney biopsy. This...
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Evaluation of a multimodal diagnostic algorithm for prediction of cognitive impairment in elderly patients with dizziness
BackgroundThe current diagnostic workup for chronic dizziness in elderly patients often neglects neuropsychological assessment, thus missing a...
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Service Life Prediction and Evaluation of the Technical Condition of Engines Based on Remote Diagnostic System
AbstractThe paper considers issues related to the assessment of technical condition of diesel engines by creating a remote diagnostic system capable...
