AIMC Topic: ROC Curve
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Predicting intubation for intensive care units patients: A deep learning approach to improve patient management.
International journal of medical informatics
Mar 26, 2024
OBJECTIVE: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant association with patients' outcomes. However, accurate prediction of the timing of intubation remains an unsolved challenge due to the noisy, sparse,...
Machine learning-based analysis of Ga-PSMA-11 PET/CT images for estimation of prostate tumor grade.
Physical and engineering sciences in medicine
Mar 25, 2024
Early diagnosis of prostate cancer, the most common malignancy in men, can improve patient outcomes. Since the tissue sampling procedures are invasive and sometimes inconclusive, an alternative image-based method can prevent possible complications an...
Early prediction of ventricular peritoneal shunt dependency in aneurysmal subarachnoid haemorrhage patients by recurrent neural network-based machine learning using routine intensive care unit data.
Journal of clinical monitoring and computing
Mar 21, 2024
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic congestion. Treatment of this acute condition often includes establishing an external ventricular drainage (EVD). However, chronic hydrocephalus develops...
The features associated with mammography-occult MRI-detected newly diagnosed breast cancer analysed by comparing machine learning models with a logistic regression model.
La Radiologia medica
Mar 21, 2024
PURPOSE: To compare machine learning (ML) models with logistic regression model in order to identify the optimal factors associated with mammography-occult (i.e. false-negative mammographic findings) magnetic resonance imaging (MRI)-detected newly di...
Deep learning using contrast-enhanced ultrasound images to predict the nuclear grade of clear cell renal cell carcinoma.
World journal of urology
Mar 21, 2024
PURPOSE: To assess the effectiveness of a deep learning model using contrastenhanced ultrasound (CEUS) images in distinguishing between low-grade (grade I and II) and high-grade (grade III and IV) clear cell renal cell carcinoma (ccRCC).
Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A development and external validation study in the emergency department.
The American journal of emergency medicine
Mar 16, 2024
OBJECTIVE: To develop and externally validate models based on neural networks and natural language processing (NLP) to identify suspected serious infections in emergency department (ED) patients afebrile at initial presentation.
Artificial intelligence predicts undiagnosed atrial fibrillation in patients with embolic stroke of undetermined source using sinus rhythm electrocardiograms.
Heart rhythm
Mar 15, 2024
BACKGROUND: Artificial intelligence (AI)-enabled sinus rhythm (SR) electrocardiogram (ECG) interpretation can aid in identifying undiagnosed paroxysmal atrial fibrillation (AF) in patients with embolic stroke of undetermined source (ESUS).
Early and accurate diagnosis of steatotic liver by artificial intelligence (AI)-supported ultrasonography.
European journal of internal medicine
Mar 14, 2024
OBJECTIVES: Steatotic liver disease is the most frequent chronic liver disease worldwide. Ultrasonography (US) is commonly employed for the assessment and diagnosis. Few information is available on the possible use of artificial intelligence (AI) to ...
Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning.
Journal of magnetic resonance imaging : JMRI
Mar 12, 2024
BACKGROUND: Early and accurate identification of lymphatic node metastasis (LNM) and lymphatic vascular space invasion (LVSI) for endometrial cancer (EC) patients is important for treatment design, but difficult on multi-parametric MRI (mpMRI) images...
Middle Aged
Deep Learning
ROC Curve
Image Processing, Computer-Assisted
Retrospective Studies
Female
Aged
Adult
Image Interpretation, Computer-Assisted
Endometrial Neoplasms
Lymph Nodes
Diffusion Magnetic Resonance Imaging
Humans
Lymphatic Metastasis
Multiparametric Magnetic Resonance Imaging
Magnetic Resonance Imaging
Neoplasm Invasiveness
Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Mar 12, 2024
BACKGROUND: Machine learning (ML) approaches have become increasingly popular in predicting surgical outcomes. However, it is unknown whether they are superior to traditional statistical methods such as logistic regression (LR). This study aimed to p...
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