AIMC Topic: Sensitivity and Specificity

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Diagnostic accuracy of CT-based radiomics and deep learning for predicting lymph node metastasis in esophageal cancer.

Clinical imaging Jun 16, 2024
BACKGROUND: Esophageal cancer remains a global challenge due to late diagnoses and limited treatments. Lymph node metastasis (LNM) is crucial for prognosis, yet traditional diagnostics fall short. Integrating radiomics and deep learning (DL) with CT ...
Humans Tomography, X-Ray Computed Sensitivity and Specificity Radiomics Esophageal Neoplasms Deep Learning Lymph Nodes Lymphatic Metastasis Predictive Value of Tests
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Multimodal data integration using machine learning to predict the risk of clear cell renal cancer metastasis: a retrospective multicentre study.

Abdominal radiology (New York) Jun 15, 2024
PURPOSE: To develop and validate a predictive combined model for metastasis in patients with clear cell renal cell carcinoma (ccRCC) by integrating multimodal data.
Multimodal Imaging Predictive Value of Tests Kidney Neoplasms Carcinoma, Renal Cell Male Middle Aged Risk Assessment Ultrasonography Humans Female Aged Machine Learning Adult Retrospective Studies Sensitivity and Specificity Tomography, X-Ray Computed
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Analysis of convolutional neural networks for fronto-temporal dementia biomarker discovery.

International journal of computer assisted radiology and surgery Jun 14, 2024
PURPOSE: Frontotemporal lobe dementia (FTD) results from the degeneration of the frontal and temporal lobes. It can manifest in several different ways, leading to the definition of variants characterised by their distinctive symptomatologies. As thes...
Aged Principal Component Analysis Sensitivity and Specificity Frontotemporal Dementia Male Diffusion Tensor Imaging Humans Middle Aged Neural Networks, Computer Biomarkers Female
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Sepsis mortality prediction with Machine Learning Tecniques.

Medicina intensiva Jun 13, 2024
OBJECTIVE: To develop a sepsis death classification model based on machine learning techniques for patients admitted to the Intensive Care Unit (ICU).
Aged Sensitivity and Specificity Cross-Sectional Studies Machine Learning Hospital Mortality Middle Aged Humans Databases, Factual Male Lactic Acid Sepsis Intensive Care Units Spain Female
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An emerging network for COVID-19 CT-scan classification using an ensemble deep transfer learning model.

Acta tropica Jun 13, 2024
Over the past few years, the widespread outbreak of COVID-19 has caused the death of millions of people worldwide. Early diagnosis of the virus is essential to control its spread and provide timely treatment. Artificial intelligence methods are often...
Artificial Intelligence COVID-19 Tomography, X-Ray Computed Humans Neural Networks, Computer SARS-CoV-2 Sensitivity and Specificity Deep Learning
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Artificial Intelligence Imaging Diagnosis Using Super-Resolution and Three-Dimensional Shape for Lymph Node Metastasis of Low Rectal Cancer: A Pilot Study From a Single Center.

Diseases of the colon and rectum Jun 11, 2024
BACKGROUND: Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement.
Pelvis Rectal Neoplasms Multidetector Computed Tomography Middle Aged Adenocarcinoma Aged Humans Pilot Projects Proctectomy Lymphatic Metastasis Artificial Intelligence Adult Imaging, Three-Dimensional Lymph Node Excision Retrospective Studies Sensitivity and Specificity Lymph Nodes Predictive Value of Tests Female Male
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Detection of oral cancer and oral potentially malignant disorders using artificial intelligence-based image analysis.

Head & neck Jun 11, 2024
BACKGROUND: We aimed to construct an artificial intelligence-based model for detecting oral cancer and dysplastic leukoplakia using oral cavity images captured with a single-lens reflex camera.
Humans Artificial Intelligence Female Carcinoma, Squamous Cell Aged Image Processing, Computer-Assisted Mouth Neoplasms Leukoplakia, Oral Adult Sensitivity and Specificity Male Middle Aged
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Artificial Intelligence Improves the Ability of Physicians to Identify Prostate Cancer Extent.

The Journal of urology Jun 11, 2024
PURPOSE: Defining prostate cancer contours is a complex task, undermining the efficacy of interventions such as focal therapy. A multireader multicase study compared physicians' performance using artificial intelligence (AI) vs standard-of-care metho...
Prostate Prostatectomy Male Clinical Competence Humans Middle Aged Artificial Intelligence Magnetic Resonance Imaging Prostatic Neoplasms Retrospective Studies Aged Sensitivity and Specificity
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Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments.

Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique Jun 11, 2024
PURPOSE: MRI is essential in the management of brain tumours. However, long waiting times reduce patient accessibility. Reducing acquisition time could improve access but at the cost of spatial resolution and diagnostic quality. A commercially availa...
Male Middle Aged Time Factors Magnetic Resonance Imaging Aged Adult Sensitivity and Specificity Brain Neoplasms Radiation Oncology Radiology Department, Hospital Meningioma Meningeal Neoplasms Humans Artificial Intelligence Algorithms Prospective Studies Female
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Preliminary study on AI-assisted diagnosis of bone remodeling in chronic maxillary sinusitis.

BMC medical imaging Jun 10, 2024
OBJECTIVE: To construct the deep learning convolution neural network (CNN) model and machine learning support vector machine (SVM) model of bone remodeling of chronic maxillary sinusitis (CMS) based on CT image data to improve the accuracy of image d...
Artificial Intelligence Tomography, X-Ray Computed Female Aged Humans Neural Networks, Computer Deep Learning Support Vector Machine Chronic Disease Bone Remodeling Maxillary Sinusitis Adult Sensitivity and Specificity Male Middle Aged
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