AIMC Topic: Esophagus
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A spatiotemporal and machine-learning platform facilitates the manufacturing of hPSC-derived esophageal mucosa.
Developmental cell
Jan 10, 2025
Human pluripotent stem cell-derived tissue engineering offers great promise for designer cell-based personalized therapeutics, but harnessing such potential requires a deeper understanding of tissue-level interactions. We previously developed a cell ...
Generalizability, robustness, and correction bias of segmentations of thoracic organs at risk in CT images.
European radiology
Dec 31, 2024
OBJECTIVE: This study aims to assess and compare two state-of-the-art deep learning approaches for segmenting four thoracic organs at risk (OAR)-the esophagus, trachea, heart, and aorta-in CT images in the context of radiotherapy planning.
Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images.
Medicina (Kaunas, Lithuania)
Sep 13, 2024
To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution manometry images with the aid of Gemini. Gemini assisted in developing this model by aiding in code writing, preprocessing, model optimization, and tr...
Accurate object localization facilitates automatic esophagus segmentation in deep learning.
Radiation oncology (London, England)
May 12, 2024
BACKGROUND: Currently, automatic esophagus segmentation remains a challenging task due to its small size, low contrast, and large shape variation. We aimed to improve the performance of esophagus segmentation in deep learning by applying a strategy t...
Machine learning-based identification and characterization of mast cells in eosinophilic esophagitis.
The Journal of allergy and clinical immunology
Feb 22, 2024
BACKGROUND: Eosinophilic esophagitis (EoE) is diagnosed and monitored using esophageal eosinophil levels; however, EoE also exhibits a marked, understudied esophageal mastocytosis.
Optimization of anastomotic technique and gastric conduit perfusion with hyperspectral imaging and machine learning in an experimental model for minimally invasive esophagectomy.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Apr 18, 2023
INTRODUCTION: Esophagectomy is the mainstay of esophageal cancer treatment, but anastomotic insufficiency related morbidity and mortality remain challenging for patient outcome. Therefore, the objective of this work was to optimize anastomotic techni...
[Video-assisted Double-lumen Tubes in Robot-assisted Oesophageal Surgery].
Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
Apr 12, 2023
Robot-assisted esophagectomies are still considered high-risk procedures requiring complex surgical and anesthesiological planning and coordination. The operative space during the thoracic operative part is created by one-lung ventilation. Due to spe...
[Robot-assisted Minimally Invasive Oesophagectomy - Surgical Variants of Intrathoracic Circular Stapled Oesophagogastric Anastomosis].
Zentralblatt fur Chirurgie
Jun 28, 2022
INTRODUCTION: Anastomotic insufficiency after oesophagectomy contributes significantly to morbidity and mortality of affected patients. A safe surgical technique can reduce the incidence of such anastomotic insufficiencies.
Simplified robot-assisted endoscopic submucosal dissection for esophageal and gastric lesions: a randomized controlled porcine study (with videos).
Gastrointestinal endoscopy
Jan 19, 2022
BACKGROUND AND AIMS: Effective countertraction is a main challenging issue in endoscopic submucosal dissection (ESD). Several countertraction methods have been developed to address this issue. The aim of this study was to compare the efficacy of ESD ...
Esophageal discoid foreign body detection and classification using artificial intelligence.
Pediatric radiology
Dec 1, 2021
BACKGROUND: Early and accurate radiographic diagnosis is required for the management of children with radio-opaque esophageal foreign bodies. Button batteries are some of the most dangerous esophageal foreign bodies and coins are among the most commo...
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