AIMC Topic: ROC Curve

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Application of artificial intelligence in dental implant prognosis: A scoping review.

Journal of dentistry Mar 11, 2024
OBJECTIVES: The purpose of this scoping review was to evaluate the performance of artificial intelligence (AI) in the prognosis of dental implants.
Prognosis Humans Deep Learning Artificial Intelligence ROC Curve Machine Learning Dental Implants
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Novel 3D-based deep learning for classification of acute exacerbation of idiopathic pulmonary fibrosis using high-resolution CT.

BMJ open respiratory research Mar 9, 2024
PURPOSE: Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is the primary cause of death in patients with IPF, characterised by diffuse, bilateral ground-glass opacification on high-resolution CT (HRCT). This study proposes a three-dimensi...
Humans ROC Curve Tomography, X-Ray Computed Idiopathic Pulmonary Fibrosis Deep Learning Idiopathic Interstitial Pneumonias
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MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 8, 2024
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive ...
Algorithms Retrospective Studies Female Aged Humans Aged, 80 and over Radiomics Machine Learning Male ROC Curve Urinary Bladder Neoplasms Middle Aged Image Processing, Computer-Assisted Receptor, ErbB-2 Magnetic Resonance Imaging
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Radiographic morphology of canines tested for sexual dimorphism via convolutional-neural-network-based artificial intelligence.

Morphologie : bulletin de l'Association des anatomistes Mar 8, 2024
The permanent left mandibular canines have been used for sexual dimorphism when human identification is necessary. Controversy remains whether the morphology of these teeth is actually useful to distinguish males and females. This study aimed to asse...
Young Adult Male Adolescent Child ROC Curve Neural Networks, Computer Mandible Humans Artificial Intelligence Sex Characteristics Female Cuspid
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Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network.

Interdisciplinary sciences, computational life sciences Mar 8, 2024
As one of the most important post-translational modifications (PTMs), protein phosphorylation plays a key role in a variety of biological processes. Many studies have shown that protein phosphorylation is associated with various human diseases. There...
Phosphorylation Humans Alzheimer Disease Computational Biology Neural Networks, Computer Protein Processing, Post-Translational Algorithms Proteins ROC Curve
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Machine learning-assisted prediction of trabeculectomy outcomes among patients of juvenile glaucoma by using 5-year follow-up data.

Indian journal of ophthalmology Mar 8, 2024
OBJECTIVE: To develop machine learning (ML) models, using pre and intraoperative surgical parameters, for predicting trabeculectomy outcomes in the eyes of patients with juvenile-onset primary open-angle glaucoma (JOAG) undergoing primary surgery.
Follow-Up Studies Glaucoma, Open-Angle Gonioscopy Trabeculectomy Child Retrospective Studies ROC Curve Female Humans Treatment Outcome Young Adult Intraocular Pressure Machine Learning Adult Male Adolescent Time Factors
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An Improved Clinical and Genetics-Based Prediction Model for Diabetic Foot Ulcer Healing.

Advances in wound care Mar 5, 2024
The goal of this investigation was to use comprehensive prediction modeling tools and available genetic information to try to improve upon the performance of simple clinical models in predicting whether a diabetic foot ulcer (DFU) will heal. We uti...
Machine Learning Prognosis Female Aged Male Polymorphism, Single Nucleotide Humans Wound Healing Middle Aged Adaptor Proteins, Signal Transducing Cohort Studies Diabetic Foot ROC Curve
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Development and validation of an electrocardiographic artificial intelligence model for detection of peripartum cardiomyopathy.

American journal of obstetrics & gynecology MFM Mar 4, 2024
BACKGROUND: This study used electrocardiogram data in conjunction with artificial intelligence methods as a noninvasive tool for detecting peripartum cardiomyopathy.
Cardiomyopathies Peripartum Period Pregnancy Complications, Cardiovascular ROC Curve Electrocardiography Heart Failure Humans Artificial Intelligence Retrospective Studies Pregnancy Female Adult Middle Aged Deep Learning
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Identifying predictors of the tooth loss phenotype in a large periodontitis patient cohort using a machine learning approach.

Journal of dentistry Mar 2, 2024
OBJECTIVES: This study aimed to identify predictors associated with the tooth loss phenotype in a large periodontitis patient cohort in the university setting.
Humans Female Risk Factors Aged Adult Machine Learning Algorithms Phenotype Electronic Health Records Tooth Loss Furcation Defects ROC Curve Male Periodontitis Middle Aged Area Under Curve Cohort Studies Tooth Mobility
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Deep learning-based prediction of post-pancreaticoduodenectomy pancreatic fistula.

Scientific reports Mar 1, 2024
Postoperative pancreatic fistula is a life-threatening complication with an unmet need for accurate prediction. This study was aimed to develop preoperative artificial intelligence-based prediction models. Patients who underwent pancreaticoduodenecto...
Pancreatic Fistula Pancreaticoduodenectomy Humans Risk Factors Artificial Intelligence Postoperative Complications Deep Learning ROC Curve
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