AIMC Topic: Esophageal Neoplasms

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A ubiquitous and interoperable deep learning model for automatic detection of pleomorphic gastroesophageal lesions.

Scientific reports Jul 2, 2025
In recent years, artificial intelligence (AI) has been widely explored to enhance capsule endoscopy (CE), with the goal of improving the efficiency of the reading process. While most AI models have been developed for small bowel and colon analysis, t...
Humans Neural Networks, Computer Middle Aged Deep Learning Esophageal Neoplasms Capsule Endoscopy Female Aged Sensitivity and Specificity Male
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An integrated analytical approach for biomarker discovery in esophageal cancer: Combining trace element and oxidative stress profiling with machine learning.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS) May 28, 2025
BACKGROUND: Early detection of esophageal squamous cell carcinoma (ESCC) significantly improves survival rates, yet reliable biochemical biomarkers for early diagnosis remain limited. The aim of this study is to identify potential early diagnostic bi...
Biomarkers, Tumor Male Middle Aged Trace Elements Humans Machine Learning Female Aged Oxidative Stress Esophageal Neoplasms
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Radiomics applications in the modern management of esophageal squamous cell carcinoma.

Medical oncology (Northwood, London, England) May 27, 2025
Esophageal cancer ranks among the most lethal malignancies globally, with China accounting for more than half of worldwide esophageal squamous cell carcinoma (ESCC) cases. Late-stage diagnosis frequently precludes surgical intervention, contributing ...
Radiomics Image Processing, Computer-Assisted Esophageal Neoplasms Esophageal Squamous Cell Carcinoma Humans Precision Medicine Prognosis
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Development and validation a radiomics combined clinical model predicts treatment response for esophageal squamous cell carcinoma patients.

BMC gastroenterology Apr 29, 2025
PURPOSE: This study is aimed to develop and validate a machine learning model, which combined radiomics and clinical characteristics to predicting the definitive chemoradiotherapy (dCRT) treatment response in esophageal squamous cell carcinoma (ESCC)...
Esophageal Neoplasms Machine Learning Chemoradiotherapy Retrospective Studies ROC Curve Esophageal Squamous Cell Carcinoma Aged Humans Tomography, X-Ray Computed Logistic Models Radiomics Female Nomograms Male Treatment Outcome Middle Aged
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Detection of pathologic complete response using deep neural network-based endoscopic evaluation in patients with esophageal cancer receiving neoadjuvant chemotherapy: a nationwide multicenter retrospective study from 46 Japanese esophageal centers.

Esophagus : official journal of the Japan Esophageal Society Apr 28, 2025
BACKGROUND: Detecting pathological complete response (pCR) preoperatively facilitated a non-surgical approach after neoadjuvant chemotherapy (NAC). We previously developed a deep neural network-based endoscopic evaluation to determine pCR preoperativ...
Esophagoscopy Pathologic Complete Response Japan Esophageal Squamous Cell Carcinoma Chemotherapy, Adjuvant Sensitivity and Specificity Treatment Outcome Male Neural Networks, Computer Neoadjuvant Therapy Humans Middle Aged Retrospective Studies Deep Learning Predictive Value of Tests Female Esophageal Neoplasms Aged
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Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case-control study.

BMC medicine Apr 23, 2025
BACKGROUND: Autoantibodies represent promising diagnostic blood-based biomarkers that may be generated prior to the first clinically detectable signs of cancers. In present study, we aimed to identify a novel optimized autoantibody panel with high di...
Autoantibodies Female Esophageal Neoplasms Aged Esophageal Squamous Cell Carcinoma Biomarkers, Tumor Male Humans Middle Aged Machine Learning Case-Control Studies Retrospective Studies ROC Curve Early Detection of Cancer
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Unique Microbial Characterisation of Oesophageal Squamous Cell Carcinoma Patients with Different Dietary Habits Based on Light Gradient Boosting Machine Learning Classifier.

Nutrients Apr 14, 2025
: The microbiome plays an important role in cancer, but the relationship between dietary habits and the microbiota in oesophageal squamous cell carcinoma (ESCC) is not clear. The aim of this study is to explore the complex relationship between the mi...
Male Middle Aged Diet Bacteria Gastrointestinal Microbiome RNA, Ribosomal, 16S Esophageal Neoplasms Humans Boosting Machine Learning Algorithms Machine Learning Microbiota Female Feeding Behavior Aged Esophageal Squamous Cell Carcinoma
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101 Machine Learning Algorithms for Mining Esophageal Squamous Cell Carcinoma Neoantigen Prognostic Models in Single-Cell Data.

International journal of molecular sciences Apr 4, 2025
Esophageal squamous cell carcinoma (ESCC) is one of the most aggressive malignant tumors in the digestive tract, characterized by a high recurrence rate and inadequate immunotherapy options. We analyzed mutation data of ESCC from public databases and...
Tumor Microenvironment Single-Cell Analysis Antigens, Neoplasm Mutation Esophageal Neoplasms Data Mining Esophageal Squamous Cell Carcinoma Humans Machine Learning Algorithms Prognosis
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Early detection of esophageal cancer: Evaluating AI algorithms with multi-institutional narrowband and white-light imaging data.

PloS one Apr 4, 2025
Esophageal cancer is one of the most common cancers worldwide, especially esophageal squamous cell carcinoma, which is often diagnosed at a late stage and has a poor prognosis. This study aimed to develop an algorithm to detect tumors in esophageal e...
Esophageal Squamous Cell Carcinoma Female Narrow Band Imaging Humans Male Esophagoscopy Artificial Intelligence Early Detection of Cancer Algorithms Esophageal Neoplasms
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Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy.

Surgical endoscopy Mar 31, 2025
BACKGROUND: Robotic-assisted minimally invasive esophagectomy (RAMIE) is a complex surgical procedure for treating esophageal cancer. Artificial intelligence (AI) is an uprising technology with increasing applications in the surgical field. This scop...
Esophageal Neoplasms Video Recording Humans Artificial Intelligence Robotic Surgical Procedures Esophagectomy
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