AIMC Topic: Neoplasm Staging

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Cloud-Based Lung Tumor Detection and Stage Classification Using Deep Learning Techniques.

BioMed research international Jan 10, 2022
Artificial intelligence (AI), Internet of Things (IoT), and the cloud computing have recently become widely used in the healthcare sector, which aid in better decision-making for a radiologist. PET imaging or positron emission tomography is one of th...
Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Deep Learning Cloud Computing Lung Neoplasms Positron Emission Tomography Computed Tomography Humans Databases, Factual
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Computed Tomography Image Features under Deep Learning Algorithm Applied in Staging Diagnosis of Bladder Cancer and Detection on Ceramide Glycosylation.

Computational and mathematical methods in medicine Jan 7, 2022
The research is aimed at investigating computed tomography (CT) image based on deep learning algorithm and the application value of ceramide glycosylation in diagnosing bladder cancer. The images of ordinary CT detection were improved. In this study,...
Neural Networks, Computer Algorithms Tomography, X-Ray Computed Female Aged Humans Computational Biology Glycosylation Ceramides Urinary Bladder Neoplasms Neoplasm Staging Adult Male Middle Aged Deep Learning
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Long term oncologic and reproductive outcomes after robot-assisted radical trachelectomy for early-stage cervical cancer. An international multicenter study.

Gynecologic oncology Dec 31, 2021
OBJECTIVES: Long term outcomes following fertility sparing robot-assisted radical trachelectomy (RRT).
Fertility Preservation Robotics Neoplasm Staging Trachelectomy Retrospective Studies Pregnancy Female Uterine Cervical Neoplasms Humans
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Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer.

The Journal of pathology Dec 28, 2021
The spread of early-stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in disease progression of colorectal cancer (CRC). The cellular mechanisms behind this event are not completely understood and existing predictive biomar...
Retrospective Studies Reproducibility of Results Risk Factors Colorectal Neoplasms Risk Assessment Humans Biopsy Microscopy Image Interpretation, Computer-Assisted Proof of Concept Study Diagnosis, Computer-Assisted Deep Learning Lymph Nodes Early Detection of Cancer Lymphatic Metastasis Adipose Tissue Predictive Value of Tests Neoplasm Staging
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Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis.

PloS one Dec 20, 2021
OBJECTIVES: To evaluate CT-derived radiomics for machine learning-based classification of thymic epithelial tumor (TET) stage (TNM classification), histology (WHO classification) and the presence of myasthenia gravis (MG).
Thymus Neoplasms Young Adult Humans Neoplasms, Glandular and Epithelial Adult Tomography, X-Ray Computed Follow-Up Studies Myasthenia Gravis Male Machine Learning Female Neoplasm Staging Algorithms Histological Techniques Middle Aged Aged Aged, 80 and over Retrospective Studies
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Incorporating artificial intelligence in urology: Supervised machine learning algorithms demonstrate comparative advantage over nomograms in predicting biochemical recurrence after prostatectomy.

The Prostate Dec 2, 2021
OBJECTIVE: After radical prostatectomy (RP), one-third of patients will experience biochemical recurrence (BCR), which is associated with subsequent metastasis and cancer-specific mortality. We employed machine learning (ML) algorithms to predict BCR...
Prostatic Neoplasms Neoplasm Staging Supervised Machine Learning Neoplasm Metastasis Risk Assessment Nomograms Regression Analysis Predictive Value of Tests Prostatectomy Recurrence Comparative Effectiveness Research Humans Artificial Intelligence Algorithms Biomarkers Reproducibility of Results Male Middle Aged Computer Simulation Prognosis
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Cancer classification using machine learning and HRV analysis: preliminary evidence from a pilot study.

Scientific reports Nov 16, 2021
Most cancer patients exhibit autonomic dysfunction with attenuated heart rate variability (HRV) levels compared to healthy controls. This research aimed to create and evaluate a machine learning (ML) model enabling discrimination between cancer patie...
Female Male Humans Middle Aged Machine Learning Neoplasms Case-Control Studies Neoplasm Staging Pilot Projects Heart Rate
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Characterizing impact of positive lymph node number in endometrial cancer using machine-learning: A better prognostic indicator than FIGO staging?

Gynecologic oncology Nov 15, 2021
BACKGROUND: Number of involved lymph nodes (LNs) is a crucial stratification factor in staging of numerous disease sites, but has not been incorporated for endometrial cancer. We evaluated whether number of involved LNs provide improved prognostic va...
Databases, Factual Female Aged Aged, 80 and over Middle Aged Cohort Studies Lymph Nodes Young Adult Adult Humans Neoplasm Staging Machine Learning Endometrial Neoplasms United States Adenocarcinoma Lymphatic Metastasis Predictive Value of Tests
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Deep Learning for Lung Cancer Nodal Staging and Real-World Clinical Practice.

Radiology Oct 26, 2021
Neoplasm Staging Humans Deep Learning Lung Neoplasms
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Deep Learning for Prediction of N2 Metastasis and Survival for Clinical Stage I Non-Small Cell Lung Cancer.

Radiology Oct 26, 2021
Background Preoperative mediastinal staging is crucial for the optimal management of clinical stage I non-small cell lung cancer (NSCLC). Purpose To develop a deep learning signature for N2 metastasis prediction and prognosis stratification in clinic...
Survival Analysis Male Lung Neoplasms Humans Middle Aged Risk Assessment Carcinoma, Non-Small-Cell Lung Retrospective Studies Prospective Studies Predictive Value of Tests Female Neoplasm Staging Prognosis Reproducibility of Results Biomarkers, Tumor Neoplasms, Second Primary Deep Learning Cohort Studies
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