AIMC Topic: Aged

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Cluster-Based Toxicity Estimation of Osteoradionecrosis Via Unsupervised Machine Learning: Moving Beyond Single Dose-Parameter Normal Tissue Complication Probability by Using Whole Dose-Volume Histograms for Cohort Risk Stratification.

International journal of radiation oncology, biology, physics Mar 10, 2024
PURPOSE: Given the limitations of extant models for normal tissue complication probability estimation for osteoradionecrosis (ORN) of the mandible, the purpose of this study was to enrich statistical inference by exploiting structural properties of d...
Head and Neck Neoplasms Support Vector Machine Cluster Analysis Unsupervised Machine Learning Organs at Risk Probability Humans Radiotherapy Dosage Retrospective Studies Male Osteoradionecrosis Female Mandibular Diseases Middle Aged Aged Risk Assessment Adult Mandible
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Reproducibility of Results Aged Aged, 80 and over Male Severity of Illness Index Deep Learning Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Coronary Angiography Humans Retrospective Studies Female Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Observer Variation Coronary Stenosis Coronary Vessels Transcatheter Aortic Valve Replacement False Positive Reactions
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MRI-Based Machine Learning Radiomics for Preoperative Assessment of Human Epidermal Growth Factor Receptor 2 Status in Urothelial Bladder Carcinoma.

Journal of magnetic resonance imaging : JMRI Mar 8, 2024
BACKGROUND: The human epidermal growth factor receptor 2 (HER2) has recently emerged as hotspot in targeted therapy for urothelial bladder cancer (UBC). The HER2 status is mainly identified by immunohistochemistry (IHC), preoperative and noninvasive ...
Humans Machine Learning Algorithms Retrospective Studies Urinary Bladder Neoplasms Male Receptor, ErbB-2 Middle Aged ROC Curve Image Processing, Computer-Assisted Magnetic Resonance Imaging Female Aged Aged, 80 and over Radiomics
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Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Machine Learning Models.

Journal of the American College of Radiology : JACR Mar 8, 2024
OBJECTIVE: To quantify the relative importance of demographic, contextual, socio-economic, and nodule-related factors that influence patient adherence to incidental pulmonary nodule (IPN) follow-up visits and evaluate the predictive performance of ma...
Patient Compliance Incidental Findings Middle Aged Lung Neoplasms Socioeconomic Factors Solitary Pulmonary Nodule Machine Learning Female Aged Adult Male Humans
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Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

European journal of internal medicine Mar 8, 2024
It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the emergency department. Using artificial neural networks, we propose a new Data Ensemble Refinement Greedy Algorithm (DERGA...
Ferritins L-Lactate Dehydrogenase Male Middle Aged Severity of Illness Index Neutrophils Neural Networks, Computer Machine Learning COVID-19 Algorithms Humans Prognosis Intensive Care Units Female SARS-CoV-2 Aged Adult
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Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [F]FDG PET/CT predicts survival in multiple myeloma.

European journal of nuclear medicine and molecular imaging Mar 8, 2024
PURPOSE: Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding standardization of scan interpretation. Our group...
Aged Aged, 80 and over Adult Male Middle Aged Humans Artificial Intelligence Prognosis Female Fluorodeoxyglucose F18 Image Processing, Computer-Assisted Positron Emission Tomography Computed Tomography Bone Marrow Survival Analysis Multiple Myeloma
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Improving the detection of hypo-vascular liver metastases in multiphase contrast-enhanced CT with slice thickness less than 5 mm using DenseNet.

Radiography (London, England : 1995) Mar 8, 2024
INTRODUCTION: Thinner slices are more susceptible in detecting small lesions but suffer from higher statistical fluctuation. This work aimed to reduce image noise in multiphase contrast-enhanced CT reconstructed with slice thickness thinner than the ...
Female Aged Male Middle Aged Liver Neoplasms Contrast Media Liver Radiographic Image Interpretation, Computer-Assisted Signal-To-Noise Ratio Phantoms, Imaging Humans Neural Networks, Computer Tomography, X-Ray Computed
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Artificial intelligence measured 3D body composition to predict pathological response in rectal cancer patients.

ANZ journal of surgery Mar 8, 2024
BACKGROUND: The treatment of locally advanced rectal cancer (LARC) is moving towards total neoadjuvant therapy and potential organ preservation. Of particular interest are predictors of pathological complete response (pCR) that can guide personalized...
Predictive Value of Tests Body Composition Rectal Neoplasms Imaging, Three-Dimensional Treatment Outcome Humans Neoadjuvant Therapy Artificial Intelligence Australia Tomography, X-Ray Computed Female Aged Adult Male Middle Aged
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ChatGPT and Patients With Heart Failure.

Angiology Mar 7, 2024
ChatGPT (Generative Pre-trained Transformer) is a large-scale language processing model, with possibilities for professional patient support in a patient-friendly way. The aim of the study was to examine the accuracy and reproducibility of ChatGPT in...
Humans Female Surveys and Questionnaires Generative Artificial Intelligence Health Knowledge, Attitudes, Practice Patient Education as Topic Heart Failure Reproducibility of Results Risk Factors Aged Male Middle Aged
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Development and external validation of a machine learning model for prediction of survival in extremity leiomyosarcoma.

Surgical oncology Mar 7, 2024
PURPOSE: Machine learning (ML) models have been used to predict cancer survival in several sarcoma subtypes. However, none have investigated extremity leiomyosarcoma (LMS). ML is a powerful tool that has the potential to better prognosticate extremit...
Follow-Up Studies Aged SEER Program Humans Adult Leiomyosarcoma Survival Rate Machine Learning Extremities Male Prognosis Middle Aged Female
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