AIMC Topic: ROC Curve

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AI-based differential diagnosis of dementia etiologies on multimodal data.

Nature medicine Jul 4, 2024
Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that har...
Aged, 80 and over ROC Curve Male Diagnosis, Differential Neuroimaging Neuropsychological Tests Humans Middle Aged Cognitive Dysfunction Artificial Intelligence Dementia Female Aged
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Early Postoperative Prediction of Complications and Readmission After Colorectal Cancer Surgery Using an Artificial Neural Network.

Diseases of the colon and rectum Jul 3, 2024
BACKGROUND: Early predictors of postoperative complications can risk-stratify patients undergoing colorectal cancer surgery. However, conventional regression models have limited power to identify complex nonlinear relationships among a large set of v...
Logistic Models Elective Surgical Procedures Patient Readmission Anastomotic Leak Retrospective Studies Risk Assessment Female Humans Male Postoperative Complications Neural Networks, Computer Aged Middle Aged ROC Curve Colorectal Neoplasms
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Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning.

Scientific reports Jul 3, 2024
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehe...
Aged Male Middle Aged ROC Curve Liquid Chromatography-Mass Spectrometry Metabolome Mycobacterium Infections, Nontuberculous Diagnosis, Differential Humans Down-Regulation Machine Learning Area Under Curve Metabolomics Up-Regulation Phenotype Amino Acids Models, Statistical Biomarkers Random Forest Tuberculosis
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Deep learning-based stress detection for daily life use using single-channel EEG and GSR in a virtual reality interview paradigm.

PloS one Jul 3, 2024
This research aims to establish a practical stress detection framework by integrating physiological indicators and deep learning techniques. Utilizing a virtual reality (VR) interview paradigm mirroring real-world scenarios, our focus is on classifyi...
Virtual Reality ROC Curve Electroencephalography Galvanic Skin Response Neural Networks, Computer Adult Humans Female Male Young Adult Deep Learning Stress, Psychological
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ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles.

British journal of cancer Jul 2, 2024
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a deadly cancer with no clinically ideal biomarkers for early diagnosis. The objective of this study was to develop and validate a user-friendly diagnostic tool for early ESCC detection.
Humans Machine Learning Autoantibodies Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Middle Aged ROC Curve Support Vector Machine Female Early Detection of Cancer Aged Biomarkers, Tumor Male
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Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images.

Scientific reports Jul 2, 2024
This study aimed to apply pathomics to predict Matrix metalloproteinase 9 (MMP9) expression in glioblastoma (GBM) and investigate the underlying molecular mechanisms associated with pathomics. Here, we included 127 GBM patients, 78 of whom were rando...
Female Aged Adult Biomarkers, Tumor Brain Neoplasms Humans Machine Learning Prognosis Glioblastoma Matrix Metalloproteinase 9 Kaplan-Meier Estimate Male Middle Aged ROC Curve Support Vector Machine
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Improving the diagnostic performance of inexperienced readers for thyroid nodules through digital self-learning and artificial intelligence assistance.

Frontiers in endocrinology Jul 2, 2024
BACKGROUND: Data-driven digital learning could improve the diagnostic performance of novice students for thyroid nodules.
Ultrasonography Male Humans Thyroid Nodule Middle Aged Internship and Residency Artificial Intelligence Diagnosis, Computer-Assisted ROC Curve Female Clinical Competence Radiology Adult
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Selection of Convolutional Neural Network Model for Bladder Tumor Classification of Cystoscopy Images and Comparison with Humans.

Journal of endourology Jul 1, 2024
An investigation of various convolutional neural network (CNN)-based deep learning algorithms was conducted to select the appropriate artificial intelligence (AI) model for calculating the diagnostic performance of bladder tumor classification on cy...
Deep Learning ROC Curve Image Processing, Computer-Assisted Urinary Bladder Neoplasms Cystoscopy Humans Neural Networks, Computer Sensitivity and Specificity
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Deep learning analysis for differential diagnosis and risk classification of gastrointestinal tumors.

Scandinavian journal of gastroenterology Jul 1, 2024
OBJECTIVES: Recently, artificial intelligence (AI) has been applied to clinical diagnosis. Although AI has already been developed for gastrointestinal (GI) tract endoscopy, few studies have applied AI to endoscopic ultrasound (EUS) images. In this st...
Deep Learning ROC Curve Diagnosis, Differential Gastrointestinal Neoplasms Endosonography Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Gastrointestinal Stromal Tumors Humans Aged, 80 and over Adult Sensitivity and Specificity Female Aged
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Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia.

BMC pulmonary medicine Jul 1, 2024
AIM: To develop a decision-support tool for predicting extubation failure (EF) in neonates with bronchopulmonary dysplasia (BPD) using a set of machine-learning algorithms.
Treatment Failure Female Infant, Newborn Male Bronchopulmonary Dysplasia Logistic Models Nomograms Airway Extubation Humans Respiration, Artificial Machine Learning ROC Curve Decision Support Techniques Retrospective Studies
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