AIMC Topic: Neoplasm Staging
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The predictive power of artificial intelligence on mediastinal lymphnode metastasis.
General thoracic and cardiovascular surgery
Jun 16, 2021
OBJECTIVE: The aim of this study was to create the preoperative predictive model on mediastinal lymph-node metastasis based on artificial intelligence in surgically resected lung adenocarcinoma.
A different overview of staging PET/CT images in patients with esophageal cancer: the role of textural analysis with machine learning methods.
Annals of nuclear medicine
Jun 9, 2021
OBJECTIVE: This study evaluates the ability of several machine learning (ML) algorithms, developed using volumetric and texture data extracted from baseline F-FDG PET/CT studies performed initial staging of patient with esophageal cancer (EC), to pre...
Prognostic implications of body composition change during primary treatment in patients with ovarian cancer: A retrospective study using an artificial intelligence-based volumetric technique.
Gynecologic oncology
May 14, 2021
OBJECTIVE: To investigate the impact of changes in body composition during primary treatment on survival outcomes in patients with epithelial ovarian cancer (EOC).
Clinical use of machine learning-based pathomics signature for diagnosis and survival prediction of bladder cancer.
Cancer science
May 5, 2021
Traditional histopathology performed by pathologists by the naked eye is insufficient for accurate and efficient diagnosis of bladder cancer (BCa). We collected 643 H&E-stained BCa images from Shanghai General Hospital and The Cancer Genome Atlas (TC...
Chinese guideline for the application of rectal cancer staging recognition systems based on artificial intelligence platforms (2021 edition).
Chinese medical journal
Apr 28, 2021
Increasing prediction accuracy of pathogenic staging by sample augmentation with a GAN.
PloS one
Apr 27, 2021
Accurate prediction of cancer stage is important in that it enables more appropriate treatment for patients with cancer. Many measures or methods have been proposed for more accurate prediction of cancer stage, but recently, machine learning, especia...
Artificial neural networks versus LASSO regression for the prediction of long-term survival after surgery for invasive IPMN of the pancreas.
PloS one
Mar 25, 2021
Prediction of long-term survival in patients with invasive intraductal papillary mucinous neoplasm (IPMN) of the pancreas may aid in patient assessment, risk stratification and personalization of treatment. This study aimed to investigate the predict...
Artificial neural network model to predict post-hepatectomy early recurrence of hepatocellular carcinoma without macroscopic vascular invasion.
BMC cancer
Mar 16, 2021
BACKGROUND: The accurate prediction of post-hepatectomy early recurrence (PHER) of hepatocellular carcinoma (HCC) is vital in determining postoperative adjuvant treatment and monitoring. This study aimed to develop and validate an artificial neural n...
Neoplasm Recurrence, Local
Disease-Free Survival
Hepatectomy
Proportional Hazards Models
Postoperative Period
Follow-Up Studies
Liver
Predictive Value of Tests
Neoplasm Staging
Liver Neoplasms
Female
Carcinoma, Hepatocellular
Risk Factors
Nomograms
Male
Middle Aged
Humans
Neural Networks, Computer
Retrospective Studies
Expanding TNM for lung cancer through machine learning.
Thoracic cancer
Mar 13, 2021
BACKGROUND: Expanding the tumor, lymph node, metastasis (TNM) staging system by accommodating new prognostic and predictive factors for cancer will improve patient stratification and survival prediction. Here, we introduce machine learning for incorp...
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning.
Nature communications
Mar 12, 2021
N-staging is a determining factor for prognostic assessment and decision-making for stage-based cancer therapeutic strategies. Visual inspection of whole-slides of intact lymph nodes is currently the main method used by pathologists to calculate the ...
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