AIMC Topic: Esophageal Neoplasms

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Randomized controlled trial of an artificial intelligence diagnostic system for the detection of esophageal squamous cell carcinoma in clinical practice.

Endoscopy Sep 24, 2024
BACKGROUND: Artificial intelligence (AI) has made remarkable progress in image recognition using deep learning systems. It has been used to detect esophageal squamous cell carcinoma (ESCC); however, none of the previous reports were investigations in...
Humans Artificial Intelligence Middle Aged Early Detection of Cancer Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Prospective Studies Female Aged Male Narrow Band Imaging Endoscopy, Digestive System
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Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms.

Journal of microbiology and biotechnology Sep 23, 2024
As a treatment for esophageal squamous cell carcinoma (ESCC), which is common and fatal, mitophagy is a conserved cellular mechanism that selectively removes damaged mitochondria and is crucial for cellular homeostasis. While tumor development and re...
Mitochondrial Proteins Mitophagy Esophageal Neoplasms Mitochondria Esophageal Squamous Cell Carcinoma Apoptosis Regulatory Proteins Transcriptome Cell Line, Tumor Single-Cell Analysis RNA-Seq Single-Cell Gene Expression Analysis Gene Expression Regulation, Neoplastic Cell Proliferation Cell Movement Machine Learning Algorithms Prognosis Biomarkers, Tumor Humans
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Will Transformers change gastrointestinal endoscopic image analysis? A comparative analysis between CNNs and Transformers, in terms of performance, robustness and generalization.

Medical image analysis Sep 16, 2024
Gastrointestinal endoscopic image analysis presents significant challenges, such as considerable variations in quality due to the challenging in-body imaging environment, the often-subtle nature of abnormalities with low interobserver agreement, and ...
Image Interpretation, Computer-Assisted Barrett Esophagus Deep Learning Image Processing, Computer-Assisted Endoscopy, Gastrointestinal Humans Esophageal Neoplasms Neural Networks, Computer
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Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study.

Journal of cancer research and clinical oncology Sep 16, 2024
BACKGROUND: This study aims to establish a predictive model for assessing the risk of esophageal cancer lung metastasis using machine learning techniques.
Middle Aged Lung Neoplasms Esophageal Neoplasms SEER Program Female Risk Factors Aged Male Humans Machine Learning
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Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy.

Annals of surgical oncology Sep 12, 2024
BACKGROUND: Recurrent laryngeal nerve (RLN) palsy is a common complication in esophagectomy and its main risk factor is reportedly intraoperative procedure associated with surgeons' experience. We aimed to improve surgeons' recognition of the RLN dur...
Humans Artificial Intelligence Prognosis Female Minimally Invasive Surgical Procedures Robotic Surgical Procedures Esophagectomy Esophageal Neoplasms Vocal Cord Paralysis Male Recurrent Laryngeal Nerve Injuries Recurrent Laryngeal Nerve Lymph Node Excision
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Lesion-Decoupling-Based Segmentation With Large-Scale Colon and Esophageal Datasets for Early Cancer Diagnosis.

IEEE transactions on neural networks and learning systems Aug 5, 2024
Lesions of early cancers often show flat, small, and isochromatic characteristics in medical endoscopy images, which are difficult to be captured. By analyzing the differences between the internal and external features of the lesion area, we propose ...
Colonic Neoplasms Image Interpretation, Computer-Assisted Narrow Band Imaging Neural Networks, Computer Humans Colonoscopy Algorithms Image Processing, Computer-Assisted Databases, Factual Early Detection of Cancer Colon Esophageal Neoplasms
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Endoscopic Artificial Intelligence for Image Analysis in Gastrointestinal Neoplasms.

Digestion Jul 26, 2024
BACKGROUND: Artificial intelligence (AI) using deep learning systems has recently been utilized in various medical fields. In the field of gastroenterology, AI is primarily implemented in image recognition and utilized in the realm of gastrointestina...
Adenocarcinoma Humans Colorectal Neoplasms Esophageal Squamous Cell Carcinoma Endoscopy, Gastrointestinal Artificial Intelligence Diagnosis, Computer-Assisted Endoscopy, Digestive System Gastrointestinal Neoplasms Stomach Neoplasms Deep Learning Esophageal Neoplasms Image Processing, Computer-Assisted Sensitivity and Specificity
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Combined deep learning and radiomics in pretreatment radiation esophagitis prediction for patients with esophageal cancer underwent volumetric modulated arc therapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jul 14, 2024
PURPOSE: To develop a combined radiomics and deep learning (DL) model in predicting radiation esophagitis (RE) of a grade ≥ 2 for patients with esophageal cancer (EC) underwent volumetric modulated arc therapy (VMAT) based on computed tomography (CT)...
Adult Radiation Injuries Deep Learning Radiomics Tomography, X-Ray Computed Humans Esophageal Neoplasms Male Esophagitis Radiotherapy Dosage Female Retrospective Studies Middle Aged Radiotherapy, Intensity-Modulated Aged Aged, 80 and over
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Metabolism score and machine learning models for the prediction of esophageal squamous cell carcinoma progression.

Cancer science Jul 11, 2024
The incomplete prediction of prognosis in esophageal squamous cell carcinoma (ESCC) patients is attributed to various therapeutic interventions and complex prognostic factors. Consequently, there is a pressing demand for enhanced predictive biomarker...
Nomograms Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Biomarkers, Tumor Male Middle Aged Disease Progression Prognosis Female Aged Adult Humans Machine Learning
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Prediction of Anastomotic Leakage in Esophageal Cancer Surgery: A Multimodal Machine Learning Model Integrating Imaging and Clinical Data.

Academic radiology Jul 2, 2024
RATIONALE AND OBJECTIVES: Surgery in combination with chemo/radiotherapy is the standard treatment for locally advanced esophageal cancer. Even after the introduction of minimally invasive techniques, esophagectomy carries significant morbidity and m...
Humans Machine Learning Prospective Studies Tomography, X-Ray Computed Female Esophagectomy Aged Esophageal Neoplasms Sensitivity and Specificity Anastomotic Leak Male Middle Aged
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