Oncology | Pathology | Surgery Development and Validation Study of the Prognostic Impact of Deep Learning-Determined Myxoid Stroma After Neoadjuvant Chemotherapy in Patients with Esophageal Squamous Cell Carcinoma. June 24, 2024
Oncology | Radiology | Surgery PET/CT deep learning prognosis for treatment decision support in esophageal squamous cell carcinoma. June 24, 2024
Oncology | Pathology Development of an Interpretable Deep Learning Model for Pathological Tumor Response Assessment After Neoadjuvant Therapy. April 17, 2024
Oncology | Radiology Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach. January 3, 2024
Hematology | Oncology | Radiology CT-based deep learning radiomics and hematological biomarkers in the assessment of pathological complete response to neoadjuvant chemoradiotherapy in patients with esophageal squamous cell carcinoma: A two-center study. October 15, 2023
Oncology | Radiology Treatment Response Prediction Using a Combination of Hematological Biomarkers and CT Deep Learning Radiomics in Locally Advanced Esophageal Squamous Cell Carcinoma. October 3, 2023
Artificial Intelligence | Gastroenterology Human-like artificial intelligent system for predicting invasion depth of esophageal squamous cell carcinoma using magnifying narrow-band imaging endoscopy: a retrospective, multi-center study. June 8, 2023
Oncology | Radiology An artificial neural network-based radiomics model for predicting the radiotherapy response of advanced esophageal squamous cell carcinoma patients: a multicenter study. May 29, 2023
Artificial Intelligence | Oncology A novel staging system based on deep learning for overall survival in patients with esophageal squamous cell carcinoma. May 8, 2023
Bioinformatics | Clinical Chemistry | Oncology Encoding LC-MS-Based Untargeted Metabolomics Data into Images toward AI-Based Clinical Diagnosis. April 12, 2023
Gastroenterology | Medical Imaging | Oncology AI-assisted identification of intrapapillary capillary loops in magnification endoscopy for diagnosing early-stage esophageal squamous cell carcinoma: a preliminary study. February 26, 2023
Oncology | Pathology A one-dimensional convolutional neural network based deep learning for high accuracy classification of transformation stages in esophageal squamous cell carcinoma tissue using micro-FTIR. December 12, 2022