AIMC Topic: Lymphoma, Non-Hodgkin

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AI-assisted SERS imaging method for label-free and rapid discrimination of clinical lymphoma.

Journal of nanobiotechnology Apr 16, 2025
BACKGROUND: Lymphoma is a malignant tumor of the immune system and its incidence is increasing year after year, causing a major threat to people's health. Conventional diagnosis of lymphoma basically depends on histological images consuming long-time...
Neural Networks, Computer Artificial Intelligence Deep Learning Humans Molecular Imaging Spectrum Analysis, Raman Lymphoma Lymphoma, Non-Hodgkin
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Deep transfer learning radiomics for distinguishing sinonasal malignancies: a preliminary MRI study.

Future oncology (London, England) Feb 24, 2025
PURPOSE: This study aimed to assess the diagnostic accuracy of combining MRI hand-crafted (HC) radiomics features with deep transfer learning (DTL) in identifying sinonasal squamous cell carcinoma (SCC), adenoid cystic carcinoma (ACC), and non-Hodgki...
Humans Paranasal Sinus Neoplasms Retrospective Studies Carcinoma, Adenoid Cystic Female ROC Curve Male Aged Diagnosis, Differential Support Vector Machine Middle Aged Adult Lymphoma, Non-Hodgkin Magnetic Resonance Imaging Deep Learning Radiomics Image Interpretation, Computer-Assisted
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Survival trend and outcome prediction for pediatric Hodgkin and non-Hodgkin lymphomas based on machine learning.

Clinical and experimental medicine Jun 18, 2024
Pediatric Hodgkin and non-Hodgkin lymphomas differ from adult cases in biology and management, yet there is a lack of survival analysis tailored to pediatric lymphoma. We analyzed lymphoma data from 1975 to 2018, comparing survival trends between 7,8...
Hodgkin Disease Adolescent Child, Preschool Child Nomograms Lymphoma, Non-Hodgkin Survival Analysis Adult Male Infant Female Risk Factors Young Adult Machine Learning Prognosis Humans
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Automated Lugano Metabolic Response Assessment in F-Fluorodeoxyglucose-Avid Non-Hodgkin Lymphoma With Deep Learning on F-Fluorodeoxyglucose-Positron Emission Tomography.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Jun 6, 2024
PURPOSE: Artificial intelligence can reduce the time used by physicians on radiological assessments. For F-fluorodeoxyglucose-avid lymphomas, obtaining complete metabolic response (CMR) by end of treatment is prognostic.
Male Deep Learning Radiopharmaceuticals Humans Female Positron-Emission Tomography Lymphoma, Non-Hodgkin Fluorodeoxyglucose F18
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Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

Journal of cancer policy Oct 29, 2021
OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma.
Male Humans Health Expenditures Female United States Low-Value Care Machine Learning Aged Medicare Lymphoma, Non-Hodgkin Retrospective Studies Colorectal Neoplasms
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Translational Applications of Artificial Intelligence and Machine Learning for Diagnostic Pathology in Lymphoid Neoplasms: A Comprehensive and Evolutive Analysis.

Biomolecules May 25, 2021
Genomic analysis and digitalization of medical records have led to a big data scenario within hematopathology. Artificial intelligence and machine learning tools are increasingly used to integrate clinical, histopathological, and genomic data in lymp...
Humans Big Data United States Models, Biological Lymphoma, Non-Hodgkin Male Diagnosis, Computer-Assisted China Machine Learning Databases, Factual Female
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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Female Reproducibility of Results Aged Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Automation Retrospective Studies Fluorodeoxyglucose F18 Male Mediastinum Middle Aged Hodgkin Disease Adolescent Aged, 80 and over Positron Emission Tomography Computed Tomography Young Adult Radiopharmaceuticals Adult Lymphoma, Non-Hodgkin Treatment Outcome Liver Predictive Value of Tests
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[Radiotherapy of non-Hodgkin lymphoma-discussion of modern treatment concepts and innovations].

Radiologie (Heidelberg, Germany) Jul 1, 2025
BACKGROUND: Radiotherapy is an established treatment modality for malignant non-Hodgkin lymphoma. However, the complexity of the treatment situations demands precise treatment indication and execution. The following review presents modern radiooncolo...
Humans Lymphoma, Non-Hodgkin Radiotherapy Dosage
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