Search
Search Results
-
CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage
ObjectivesTo predict the functional outcome of patients with intracerebral hemorrhage (ICH) using deep learning models based on computed tomography...
-
An uncertainty-based interpretable deep learning framework for predicting breast cancer outcome
BackgroundPredicting outcome of breast cancer is important for selecting appropriate treatments and prolonging the survival periods of patients....
-
Outcome Prediction
This chapter focuses on how we can best predict the future health of patients, known as prognosis. This encompasses areas such as risk prediction and...
-
Predicting the probability of good neurological outcome after in-hospital cardiac arrest based on prearrest factors: validation of the good outcome following attempted resuscitation 2 (GO-FAR 2) score
The Good Outcome Following Attempted Resuscitation (GO-FAR) 2 score is a prognostic tool developed to support decision-making for...
-
A CT-based radiomics nomogram for predicting histologic grade and outcome in chondrosarcoma
ObjectiveThe preoperative identification of tumor grade in chondrosarcoma (CS) is crucial for devising effective treatment strategies and predicting...
-
Utility of the 21-month neurodevelopmental outcome for predicting neurodevelopmental impairment at 36 months for preterm infants <29 weeks gestation
ObjectiveTo determine the sensitivity and specificity of the 21-month neurodevelopmental outcome for predicting the presence of neurodevelopmental...
-
Predicting factors and clinical outcome of biochemical incomplete response in middle eastern differentiated thyroid carcinoma
PurposeThe aim of this study was evaluate biochemical incomplete response (BIR) in Middle Eastern differentiated thyroid cancer (DTC), identify...
-
A texture-based method for predicting molecular markers and survival outcome in lower grade glioma
Texture-based convolutional neural networks (CNNs) have shown great promise in predicting various types of cancer, including lower grade glioma (LGG)...
-
Performance of the MRI lesion pattern score in predicting neurological outcome after out of hospital cardiac arrest: a retrospective cohort analysis
BackgroundDespite advances in resuscitation practice, patient survival following cardiac arrest remains poor. The utilization of MRI in neurological...
-
Predicting 3-month Functional Outcome After Endovascular Thrombectomy in Patients with Anterior Circulation Occlusion with an Arterial Transit Artifact Grading System
PurposeThe objective of this study was to evaluate the relationship between arterial transit artifact (ATA), arterial spin labeling (ASL) perfusion...
-
Development of a CT-assessed adiposity nomogram for predicting outcome in localized ccRCC
PurposeThis study aimed to develop and validate a computed tomography—based nomogram assessing visceral and subcutaneous adiposity for predicting...
-
A modified pediatric ocular trauma score for predicting visual outcome post open globe injury
PurposeTo construct a new pediatric ocular trauma score for predicting visual outcome after open globe injuries (OGI) and to compare it to the ocular...
-
The Utility of Symptom Association Probability (SAP) in Predicting Outcome After Laparoscopic Fundoplication in Patients with Abnormal Esophageal Acid Exposure
IntroductionAbnormal DeMeester score on pH monitoring is a well-established predictor of favorable outcome after antireflux surgery (ARS). Esophageal...
-
Cerebrospinal Creatine Kinase BB Isoenzyme: A Biomarker for Predicting Outcome After Cardiac Arrest
BackgroundCerebrospinal fluid creatine kinase BB isoenzyme (CSF CK-BB) after cardiac arrest (CA) has been shown to have a high positive predictive...
-
MRI-based radiomics model and nomogram for predicting the outcome of locoregional treatment in patients with hepatocellular carcinoma
BackgroundPrediction of locoregional treatment response is important for further therapeutic strategy in patients with hepatocellular carcinoma. This...
-
The return visit, outcome and predicting factors of return visit among suspected COVID-19 outpatients
Rate of return visit, predicting factors of return visit and occurrence of adverse events in suspected to be or likely cases of COVID-19 patients who...
-
Clinical value of ultrasonic indicators in predicting the outcome of caesarean scar pregnancy after pregnancy termination
BackgroundTo investigate the predictive value of ultrasound indicators in early pregnancy for the outcome of caesarean scar pregnancy (CSP) after...
-
Extremely Preterm Infants with a Near-total Absence of Cerebellum: Usefulness of Quantitative Magnetic Resonance in Predicting the Motor Outcome
This study aims to evaluate in extremely premature infants the severity of brain structural injury causing total absence or near-total absence of...
-
A Manta-Ray Hill Climbing Vision Transformer Model for Predicting Ischemic Stroke Outcome
An ischemic stroke attack can cause permanent damage to healthy brain tissue, leading to a permanent loss of motor or sensory function. It can also...
-
Efficacy of a modified FRAIL scale in predicting the peri-operative outcome of hepatectomy in older adults (aged ≥ 75 years): a model development study
BackgroundThe FRAIL scale for evaluating frailty consists of five items: fatigue, resistance, aerobic, illness, and loss of weight. However, it is...
