AIMC Topic: ROC Curve

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Constructing synthetic datasets with generative artificial intelligence to train large language models to classify acute renal failure from clinical notes.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To compare performances of a classifier that leverages language models when trained on synthetic versus authentic clinical notes.
Natural Language Processing Area Under Curve Datasets as Topic Humans Artificial Intelligence Acute Kidney Injury Electronic Health Records ROC Curve
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An interpretable predictive deep learning platform for pediatric metabolic diseases.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: Metabolic disease in children is increasing worldwide and predisposes a wide array of chronic comorbid conditions with severe impacts on quality of life. Tools for early detection are needed to promptly intervene to prevent or slow the de...
Electronic Health Records Female Male Deep Learning Adolescent Pediatric Obesity Metabolic Syndrome Area Under Curve Metabolic Diseases Prediabetic State Child, Preschool Child ROC Curve Humans Diabetes Mellitus, Type 2
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Six-gene prognostic signature for non-alcoholic fatty liver disease susceptibility using machine learning.

Medicine May 10, 2024
BACKGROUND: nonalcoholic fatty liver disease (NAFLD) is a common liver disease affecting the global population and its impact on human health will continue to increase. Genetic susceptibility is an important factor influencing its onset and progressi...
Non-alcoholic Fatty Liver Disease Calgranulin B Humans Machine Learning Prognosis Female Reproducibility of Results Male ROC Curve Genetic Predisposition to Disease Nomograms
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Application of Computer-Assisted Endoscopic Ultrasonography Based on Texture Features in Differentiating Gastrointestinal Stromal Tumors from Benign Gastric Mesenchymal Tumors.

The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology May 1, 2024
BACKGROUND/AIMS:  Gastrointestinal stromal tumors are common gastric mesenchymal tumors that are potentially malignant. However, endoscopic ultrasonography is poor in diagnosing gastrointestinal stromal tumors. The study investigated the efficacy of ...
Neurilemmoma Leiomyoma Humans ROC Curve Female Support Vector Machine Aged Diagnosis, Differential Adult Stomach Neoplasms Endosonography Sensitivity and Specificity Gastrointestinal Stromal Tumors Male Middle Aged
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Prediction of prognosis using artificial intelligence-based histopathological image analysis in patients with soft tissue sarcomas.

Cancer medicine May 1, 2024
BACKGROUND: Prompt histopathological diagnosis with accuracy is required for soft tissue sarcomas (STSs) which are still challenging. In addition, the advances in artificial intelligence (AI) along with the development of pathology slides digitizatio...
Aged Aged, 80 and over Adult Male Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Sarcoma Artificial Intelligence Prognosis Retrospective Studies Female Humans Neural Networks, Computer
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Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) May 1, 2024
BACKGROUND: Timely diagnosis plays a critical role in determining melanoma prognosis, prompting the development of deep learning models to aid clinicians. Questions persist regarding the efficacy of clinical images alone or in conjunction with dermos...
ROC Curve Skin Neoplasms Image Interpretation, Computer-Assisted Dermoscopy Sensitivity and Specificity Male Deep Learning Humans Neural Networks, Computer Female Melanoma
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Establishment and validation of multiclassification prediction models for pulmonary nodules based on machine learning.

The clinical respiratory journal May 1, 2024
BACKGROUND: Lung cancer is the leading cause of cancer-related death worldwide. This study aimed to establish novel multiclassification prediction models based on machine learning (ML) to predict the probability of malignancy in pulmonary nodules (PN...
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Decision Trees Predictive Value of Tests Middle Aged ROC Curve Humans Lung Neoplasms Machine Learning Support Vector Machine Retrospective Studies Tomography, X-Ray Computed Female Aged Male
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Deep-Learning Based Automated Segmentation and Quantitative Volumetric Analysis of Orbital Muscle and Fat for Diagnosis of Thyroid Eye Disease.

Investigative ophthalmology & visual science May 1, 2024
PURPOSE: Thyroid eye disease (TED) is characterized by proliferation of orbital tissues and complicated by compressive optic neuropathy (CON). This study aims to utilize a deep-learning (DL)-based automated segmentation model to segment orbital muscl...
Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Humans Graves Ophthalmopathy Adipose Tissue Organ Size Orbit Oculomotor Muscles Male Middle Aged Deep Learning ROC Curve
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What predicts citation counts and translational impact in headache research? A machine learning analysis.

Cephalalgia : an international journal of headache May 1, 2024
BACKGROUND: We aimed to develop the first machine learning models to predict citation counts and the translational impact, defined as inclusion in guidelines or policy documents, of headache research, and assess which factors are most predictive.
Humans Headache Datasets as Topic Practice Guidelines as Topic Translational Science, Biomedical Bibliometrics Machine Learning Authorship Area Under Curve Biomedical Research Random Forest ROC Curve Periodicals as Topic
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Computed tomography-based radiomics to predict early recurrence of hepatocellular carcinoma post-hepatectomy in patients background on cirrhosis.

World journal of gastroenterology Apr 21, 2024
BACKGROUND: The prognosis for hepatocellular carcinoma (HCC) in the presence of cirrhosis is unfavourable, primarily attributable to the high incidence of recurrence.
Adult Kaplan-Meier Estimate Radiomics Male Middle Aged Liver Risk Assessment Predictive Value of Tests ROC Curve Neoplasm Recurrence, Local Liver Neoplasms Hepatectomy Carcinoma, Hepatocellular Tomography, X-Ray Computed Humans Liver Cirrhosis Female Machine Learning Risk Factors Prognosis Aged Retrospective Studies
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