AIMC Topic: Predictive Value of Tests
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Deep learning and digital pathology powers prediction of HCC development in steatotic liver disease.
Hepatology (Baltimore, Md.)
May 20, 2024
BACKGROUND AND AIMS: Identifying patients with steatotic liver disease who are at a high risk of developing HCC remains challenging. We present a deep learning (DL) model to predict HCC development using hematoxylin and eosin-stained whole-slide imag...
Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients.
International journal of cardiology
May 20, 2024
BACKGROUND: Machine learning (ML) models have the potential to accurately predict outcomes and offer novel insights into inter-variable correlations. In this study, we aimed to design ML models for the prediction of 1-year mortality after percutaneou...
Computed tomography machine learning classifier correlates with mortality in interstitial lung disease.
Respiratory investigation
May 20, 2024
BACKGROUND: A machine learning classifier system, Fibresolve, was designed and validated as an adjunct to non-invasive diagnosis in idiopathic pulmonary fibrosis (IPF). The system uses a deep learning algorithm to analyze chest computed tomography (C...
Machine learning and radiomics analysis by computed tomography in colorectal liver metastases patients for RAS mutational status prediction.
La Radiologia medica
May 18, 2024
PURPOSE: To assess the efficacy of machine learning and radiomics analysis by computed tomography (CT) in presurgical setting, to predict RAS mutational status in colorectal liver metastases.
Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma.
HPB : the official journal of the International Hepato Pancreato Biliary Association
May 16, 2024
OBJECTIVE: We sought to develop Artificial Intelligence (AI) based models to predict non-transplantable recurrence (NTR) of hepatocellular carcinoma (HCC) following hepatic resection (HR).
New Diagnostic Tools for Pulmonary Embolism Detection.
Methodist DeBakey cardiovascular journal
May 16, 2024
The presentation of pulmonary embolism (PE) varies from asymptomatic to life-threatening, and management involves multiple specialists. Timely diagnosis of PE is based on clinical presentation, D-dimer testing, and computed tomography pulmonary angio...
Deep Learning Model for Predicting Proliferative Hepatocellular Carcinoma Using Dynamic Contrast-Enhanced MRI: Implications for Early Recurrence Prediction Following Radical Resection.
Academic radiology
May 15, 2024
RATIONALE AND OBJECTIVES: The proliferative nature of hepatocellular carcinoma (HCC) is closely related to early recurrence following radical resection. This study develops and validates a deep learning (DL) prediction model to distinguish between pr...
Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.
JACC. Cardiovascular imaging
May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Time Factors
Predictive Value of Tests
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Middle Aged
Risk Assessment
Severity of Illness Index
Hemodynamics
Plaque, Atherosclerotic
Computed Tomography Angiography
Coronary Circulation
Acute Coronary Syndrome
Coronary Vessels
Rupture, Spontaneous
Multidetector Computed Tomography
Humans
Artificial Intelligence
Prognosis
Female
Reproducibility of Results
Risk Factors
Aged
Male
Machine learning algorithm predicts urethral stricture following transurethral prostate resection.
World journal of urology
May 15, 2024
PURPOSE: To predict the post transurethral prostate resection(TURP) urethral stricture probability by applying different machine learning algorithms using the data obtained from preoperative blood parameters.
Machine-learning developed an iron, copper, and sulfur-metabolism associated signature predicts lung adenocarcinoma prognosis and therapy response.
Respiratory research
May 14, 2024
BACKGROUND: Previous studies have largely neglected the role of sulfur metabolism in LUAD, and no study has combine iron, copper, and sulfur-metabolism associated genes together to create prognostic signatures.
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