Radiomics

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 40039000

Pancreatitis is a major public health issue world-wide; studies show an increase in the number of people experiencing pancreatitis. Identifying peri-pancreatic edema is a pivotal indicator for identifying disease progression and prognosis, emphasizin...

Algorithms Deep Learning Edema Humans Image Processing, Computer-Assisted Male Pancreas Pancreatitis Radiomics Tomography, X-Ray Computed

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Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Cancer imaging : the official publication of the International Cancer Imaging Society 40022261

OBJECTIVE: Exploring the construction of a fusion model that combines radiomics and deep learning (DL) features is of great significance for the precise preoperative diagnosis of meningioma sinus invasion.

Adult Aged Cranial Sinuses Deep Learning Female Humans Magnetic Resonance Imaging Male Meningeal Neoplasms Meningioma Middle Aged Neoplasm Invasiveness Preoperative Care Radiomics Retrospective Studies ROC Curve

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Development and validation of radiomics and deep transfer learning models to assess cognitive impairment in patients with cerebral small vessel disease.

Neuroscience 40068720

Cognitive impairment in cerebral small vessel disease (CSVD) progresses subtly but carries significant clinical consequences, necessitating effective diagnostic tools. This study developed and validated predictive models for CSVD-related cognitive im...

Aged Cerebral Small Vessel Diseases Cognitive Dysfunction Deep Learning Female Hippocampus Humans Magnetic Resonance Imaging Male Middle Aged Radiomics

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Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning.

Cancer imaging : the official publication of the International Cancer Imaging Society 40050945

BACKGROUND: Apart from rare cases such as lymphomas, germ cell tumors, neuroendocrine neoplasms, and thymic hyperplasia, thymic mass lesions (TMLs) are typically categorized into cysts, and thymomas. However, the classification results cannot be dete...

Adolescent Adult Aged Female Humans Machine Learning Male Mediastinal Cyst Middle Aged Radiomics Retrospective Studies Thymoma Thymus Neoplasms Tomography, X-Ray Computed Young Adult

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Impact of [F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role.

Seminars in nuclear medicine 40050131

Lung cancer remains one of the most prevalent cancers globally and the leading cause of cancer-related deaths, accounting for nearly one-fifth of all cancer fatalities. Fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography ([F]FDG...

Artificial Intelligence Clinical Decision-Making Fluorodeoxyglucose F18 Humans Image Processing, Computer-Assisted Lung Neoplasms Positron Emission Tomography Computed Tomography Radiomics

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Development of Hybrid radiomic Machine learning models for preoperative prediction of meningioma grade on multiparametric MRI.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia 40048835

PURPOSE: To develop and compare machine learning models for distinguishing low and high grade meningiomas on multiparametric MRI.

Adult Aged Female Humans Machine Learning Magnetic Resonance Imaging Male Meningeal Neoplasms Meningioma Middle Aged Multiparametric Magnetic Resonance Imaging Neoplasm Grading Radiomics Retrospective Studies

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Diffusion-Weighted Imaging-Based Radiomics Features and Machine Learning Method to Predict the 90-Day Prognosis in Patients With Acute Ischemic Stroke.

The neurologist 40035203

OBJECTIVES: The evaluation of the prognosis of patients with acute ischemic stroke (AIS) is of great significance in clinical practice. We aim to evaluate the feasibility and effectiveness of diffusion-weighted imaging (DWI) image-based radiomics fea...

Aged Aged, 80 and over Diffusion Magnetic Resonance Imaging Female Humans Ischemic Stroke Machine Learning Male Middle Aged Prognosis Radiomics Support Vector Machine

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Integrating radiomics into predictive models for low nuclear grade DCIS using machine learning.

Scientific reports 40033061

Predicting low nuclear grade DCIS before surgery can improve treatment choices and patient care, thereby reducing unnecessary treatment. Due to the high heterogeneity of DCIS and the limitations of biopsies in fully characterizing tumors, current dia...

Adult Aged Breast Neoplasms Carcinoma, Intraductal, Noninfiltrating Female Humans Machine Learning Mammography Middle Aged Neoplasm Grading Prognosis Radiomics

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MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival.

Scientific reports 40032983

We aimed to predict CD44 expression and assess its prognostic significance in patients with high-grade gliomas (HGG) using non-invasive radiomics models based on machine learning. Enhanced magnetic resonance imaging, along with the corresponding gene...

Adult Aged Biomarkers, Tumor Brain Neoplasms Female Glioma Humans Hyaluronan Receptors Kaplan-Meier Estimate Machine Learning Magnetic Resonance Imaging Male Middle Aged Neoplasm Grading Prognosis Radiomics ROC Curve Support Vector Machine

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Development of a deep learning radiomics model combining lumbar CT, multi-sequence MRI, and clinical data to predict high-risk cage subsidence after lumbar fusion: a retrospective multicenter study.

Biomedical engineering online 40025592

BACKGROUND: To develop and validate a model that integrates clinical data, deep learning radiomics, and radiomic features to predict high-risk patients for cage subsidence (CS) after lumbar fusion.

Adult Aged Deep Learning Female Humans Image Processing, Computer-Assisted Lumbar Vertebrae Magnetic Resonance Imaging Male Middle Aged Radiomics Retrospective Studies Spinal Fusion Tomography, X-Ray Computed

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Explore the latest research on artificial intelligence and machine learning in medicine.

Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques.

Preoperative diagnosis of meningioma sinus invasion based on MRI radiomics and deep learning: a multicenter study.

Development and validation of radiomics and deep transfer learning models to assess cognitive impairment in patients with cerebral small vessel disease.

Preoperative multiclass classification of thymic mass lesions based on radiomics and machine learning.

Impact of [F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role.

Development of Hybrid radiomic Machine learning models for preoperative prediction of meningioma grade on multiparametric MRI.

Diffusion-Weighted Imaging-Based Radiomics Features and Machine Learning Method to Predict the 90-Day Prognosis in Patients With Acute Ischemic Stroke.

Integrating radiomics into predictive models for low nuclear grade DCIS using machine learning.

MRI radiomics based on machine learning in high-grade gliomas as a promising tool for prediction of CD44 expression and overall survival.

Development of a deep learning radiomics model combining lumbar CT, multi-sequence MRI, and clinical data to predict high-risk cage subsidence after lumbar fusion: a retrospective multicenter study.

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