AIMC Topic: Sensitivity and Specificity

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Artificial intelligence for early detection of lung cancer in GPs' clinical notes: a retrospective observational cohort study.

The British journal of general practice : the journal of the Royal College of General Practitioners May 2, 2025
BACKGROUND: The journey of >80% of patients diagnosed with lung cancer starts in general practice. About 75% of patients are diagnosed when it is at an advanced stage (3 or 4), leading to >80% mortality within 1 year at present. The long-term data in...
Lung Neoplasms Early Detection of Cancer Aged Natural Language Processing Sensitivity and Specificity Netherlands Male Humans General Practice Middle Aged Machine Learning Artificial Intelligence Risk Assessment Algorithms Retrospective Studies Electronic Health Records Female
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Predicting Gene Comutation of EGFR and TP53 by Radiomics and Deep Learning in Patients With Lung Adenocarcinomas.

Journal of thoracic imaging May 1, 2025
PURPOSE: This study was designed to construct progressive binary classification models based on radiomics and deep learning to predict the presence of epidermal growth factor receptor ( EGFR ) and TP53 mutations and to assess the models' capacities t...
Tumor Suppressor Protein p53 ErbB Receptors Adenocarcinoma of Lung Middle Aged Lung Deep Learning Lung Neoplasms Aged Mutation Adult Humans Sensitivity and Specificity Retrospective Studies Radiomics Tomography, X-Ray Computed Male Female Reproducibility of Results
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Detection of Pulmonary Nodules on Ultra-low Dose Chest Computed Tomography With Deep-learning Image Reconstruction Algorithm.

Journal of thoracic imaging May 1, 2025
PURPOSE: To evaluate the accuracy of ultra-low dose (ULD) chest computed tomography (CT), with a radiation exposure equivalent to a 2-view chest x-ray, for pulmonary nodule detection using deep learning image reconstruction (DLIR).
Prospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Female Radiation Dosage Aged Radiography, Thoracic Humans Aged, 80 and over Adult Lung Algorithms Sensitivity and Specificity Deep Learning Cross-Sectional Studies Lung Neoplasms Male Multiple Pulmonary Nodules Middle Aged Solitary Pulmonary Nodule
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Tumor grade-titude: XGBoost radiomics paves the way for RCC classification.

European journal of radiology Apr 29, 2025
This study aimed to develop and evaluate a non-invasive XGBoost-based machine learning model using radiomic features extracted from pre-treatment CT images to differentiate grade 4 renal cell carcinoma (RCC) from lower-grade tumours. A total of 102 R...
Radiomics Male Middle Aged Contrast Media Neoplasm Grading Radiographic Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell Boosting Machine Learning Algorithms Reproducibility of Results Aged Aged, 80 and over Humans Adult Machine Learning Sensitivity and Specificity Tomography, X-Ray Computed Female
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Clinical Validation of a Noninvasive Multi-Omics Method for Multicancer Early Detection in Retrospective and Prospective Cohorts.

The Journal of molecular diagnostics : JMD Apr 29, 2025
Recent studies highlight the promise of blood-based multicancer early detection (MCED) tests for identifying asymptomatic patients with cancer. However, most focus on a single cancer hallmark, thus limiting effectiveness because of cancer's heterogen...
Adult Sensitivity and Specificity Biomarkers, Tumor Male Middle Aged Algorithms Prospective Studies Retrospective Studies Female Aged Neoplasms Genomics Multiomics Early Detection of Cancer Whole Genome Sequencing Humans
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Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

Esophagus : official journal of the Japan Esophageal Society Apr 28, 2025
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical approach after neoadjuvant chemotherapy (NAC). We previously developed a deep neural network-based endoscopic evaluation to determine pCR preoperativ...
Humans Neural Networks, Computer Retrospective Studies Female Aged Sensitivity and Specificity Esophagoscopy Pathologic Complete Response Predictive Value of Tests Male Esophageal Neoplasms Middle Aged Japan Deep Learning Esophageal Squamous Cell Carcinoma Treatment Outcome Chemotherapy, Adjuvant Neoadjuvant Therapy
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Deep learning-assisted detection of meniscus and anterior cruciate ligament combined tears in adult knee magnetic resonance imaging: a crossover study with arthroscopy correlation.

International orthopaedics Apr 28, 2025
AIM: We aimed to compare the diagnostic performance of physicians in the detection of arthroscopically confirmed meniscus and anterior cruciate ligament (ACL) tears on knee magnetic resonance imaging (MRI), with and without assistance from a deep lea...
Anterior Cruciate Ligament Reconstruction Magnetic Resonance Imaging Cross-Over Studies Arthroscopy Tibial Meniscus Injuries Anterior Cruciate Ligament Injuries Humans Female Young Adult Adult Sensitivity and Specificity Male Middle Aged Deep Learning
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A deep learning-based multimodal medical imaging model for breast cancer screening.

Scientific reports Apr 26, 2025
In existing breast cancer prediction research, most models rely solely on a single type of imaging data, which limits their performance. To overcome this limitation, the present study explores breast cancer prediction models based on multimodal medic...
Mammography Multimodal Imaging Breast Neoplasms Humans Area Under Curve Middle Aged Female Deep Learning Aged ROC Curve Adult Early Detection of Cancer Sensitivity and Specificity
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Machine learning based differential diagnosis of schizophrenia, major depression disorder and bipolar disorder using structural magnetic resonance imaging.

Journal of affective disorders Apr 24, 2025
BACKGROUND: Cortical morphological abnormalities in schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD) have been identified in past research. However, their potential as objective biomarkers to differentiate these disorde...
Humans Machine Learning Female Young Adult Adult Sensitivity and Specificity Bipolar Disorder Male Bayes Theorem Magnetic Resonance Imaging Middle Aged Schizophrenia Diagnosis, Differential Depressive Disorder, Major Cerebral Cortex
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Breast tumour classification in DCE-MRI via cross-attention and discriminant correlation analysis enhanced feature fusion.

Clinical radiology Apr 24, 2025
AIM: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has proven to be highly sensitive in diagnosing breast tumours, due to the kinetic and volumetric features inherent in it. To utilise the kinetics-related and volume-related informat...
Dynamic Contrast Enhanced Magnetic Resonance Imaging Aged Adult Sensitivity and Specificity Humans Contrast Media Breast Neoplasms Discriminant Analysis Female Magnetic Resonance Imaging Middle Aged Breast Diagnosis, Differential Image Interpretation, Computer-Assisted
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