AIMC Topic: ROC Curve

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Image-Based Deep Learning Model for Predicting Lymph Node Metastasis in Lung Adenocarcinoma With CT ≤ 2 cm.

Thoracic cancer May 1, 2025
BACKGROUND: Lymph node metastasis (LNM) poses a considerable threat to survival in lung adenocarcinoma. Currently, minor resection is the recommended surgical approach for small-diameter lung cancer. The accurate preoperative identification of LNM in...
Humans Aged Male Middle Aged Deep Learning Prognosis Retrospective Studies Tomography, X-Ray Computed Female Adenocarcinoma of Lung ROC Curve Lung Neoplasms Lymphatic Metastasis
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ESMpHLA: Evolutionary Scale Model-Based Deep Learning Prediction of HLA Class I Binding Peptides.

HLA May 1, 2025
The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune responses and human adaptive cell immune. Thus, the prediction of HLA class I-peptide binding affinities is always the core issue for the research of imm...
ROC Curve Protein Binding Computational Biology Alleles Histocompatibility Antigens Class I HLA-A Antigens HLA-B Antigens HLA-C Antigens Humans Peptides Deep Learning
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Grading of Foveal Hypoplasia Using Deep Learning on Retinal Fundus Images.

Translational vision science & technology May 1, 2025
PURPOSE: This study aimed to develop and evaluate a deep learning model for grading foveal hypoplasia using retinal fundus images.
Male Infant Deep Learning Adolescent Humans Retrospective Studies Female Adult Fundus Oculi Fovea Centralis Eye Diseases, Hereditary Nystagmus, Congenital Child, Preschool Child ROC Curve Tomography, Optical Coherence
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Machine-learning based classification of middle-ear fixation and separation using sweep frequency impedance information reflecting middle-ear dynamics.

The Journal of the Acoustical Society of America May 1, 2025
The sweep frequency impedance (SFI) meter is an apparatus that delivers a frequency-sweeping sound into the ear canal and evaluates dynamic characteristics of the middle ear based on changes in sound pressure in the ear canal. We have renewed the SFI...
Machine Learning Ear Ossicles Humans Signal Processing, Computer-Assisted Male Female Pressure Middle Aged Young Adult Ear, Middle ROC Curve Adult Acoustic Impedance Tests
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Optimizing Deep Learning Models for Luminal and Nonluminal Breast Cancer Classification Using Multidimensional ROI in DCE-MRI-A Multicenter Study.

Cancer medicine May 1, 2025
OBJECTIVES: Previous deep learning studies have not explored the synergistic effects of ROI dimensions (2D/2.5D/3D), peritumoral expansion levels (0-8 mm), and segmentation scenarios (ROI only vs. ROI original). Our study aims to evaluate the perform...
Magnetic Resonance Imaging Dynamic Contrast Enhanced Magnetic Resonance Imaging Deep Learning Aged ROC Curve Adult Contrast Media Breast Neoplasms Middle Aged Humans Retrospective Studies Female
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Identifying individuals at risk of post-stroke depression: Development and validation of a predictive model.

Saudi medical journal May 1, 2025
OBJECTIVES: To identify the factors associated with post-stroke depression (PSD) and develop a machine learning predictive model using a large dataset, considering sociodemographic, lifestyle, and clinical factors.
Female Risk Factors Aged Male Middle Aged Risk Assessment Depression ROC Curve Humans Logistic Models Machine Learning Age Factors Stroke Sex Factors
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Advancing promiscuous aggregating inhibitor analysis with intelligent machine learning classification.

Briefings in bioinformatics May 1, 2025
Small molecules have been playing a crucial role in drug discovery; however, some exhibit nonspecific inhibitory effects during hit screening due to the formation of colloidal aggregators. Such false positives often lead to significant research costs...
ROC Curve Support Vector Machine Humans Machine Learning Algorithms Drug Discovery
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Identification of Novel Diagnostic Markers for Atherosclerosis Using Machine-Learning Algorithms.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP May 1, 2025
OBJECTIVE: To outline immune-cell infiltration and identify diagnostic genes for atherosclerosis (AS) to better understand the potential molecular processes involved in AS development.
ROC Curve Inflammation Humans Atherosclerosis Machine Learning Algorithms Biomarkers Gene Expression Profiling China
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Selection of neuroendocrine markers in diagnostic workup of neuroendocrine neoplasms: The real-world data and machine learning model algorithms.

Cancer cytopathology May 1, 2025
BACKGROUND: Accurate diagnosis of neuroendocrine neoplasms (NENs) is challenging, especially in poorly differentiated neuroendocrine carcinomas (NECs). This study was aimed to search the best or best combination of neuroendocrine markers in the diagn...
Synaptophysin Repressor Proteins Neuroendocrine Tumors Carcinoma, Neuroendocrine CD56 Antigen Chromogranins Female Aged Adult Sensitivity and Specificity Biomarkers, Tumor Male Middle Aged ROC Curve Humans Neural Networks, Computer Machine Learning Algorithms
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Large language models are less effective at clinical prediction tasks than locally trained machine learning models.

Journal of the American Medical Informatics Association : JAMIA May 1, 2025
OBJECTIVES: To determine the extent to which current large language models (LLMs) can serve as substitutes for traditional machine learning (ML) as clinical predictors using data from electronic health records (EHRs), we investigated various factors ...
Middle Aged ROC Curve Large Language Models Humans Electronic Health Records Machine Learning Language Algorithms Female Male
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