AIMC Topic: Endoscopy

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Machine learning combine with nomogram to guide the establishment of endoscopic assistant system for gasless transaxillary endoscopic thyroidectomy.

Annals of medicine Jul 25, 2025
OBJECTIVE: To explore the influence related factors of endoscopic assistant in gasless transaxillary endoscopic thyroidectomy by using machine learning and nomogram, and construct an endoscopic assistant system.
Female Adult Endoscopy Humans Machine Learning Nomograms Operative Time Learning Curve Middle Aged Thyroidectomy Male
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Deep learning using nasal endoscopy and T2-weighted MRI for prediction of sinonasal inverted papilloma-associated squamous cell carcinoma: an exploratory study.

European radiology experimental Jul 21, 2025
BACKGROUND: Detecting malignant transformation of sinonasal inverted papilloma (SIP) into squamous cell carcinoma (SIP-SCC) before surgery is a clinical need. We aimed to explore the value of deep learning (DL) that leverages nasal endoscopy and T2-w...
Female Carcinoma, Squamous Cell Aged Humans Retrospective Studies Nomograms Magnetic Resonance Imaging Nose Neoplasms Paranasal Sinus Neoplasms Papilloma, Inverted Male Middle Aged Deep Learning Adult Endoscopy
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Deep learning-based allergic rhinitis diagnosis using nasal endoscopy images.

Scientific reports Jul 8, 2025
Allergic rhinitis typically has edematous and pale turbinates or erythematous and inflamed turbinates. While traditional approaches include using skin prick tests (SPT) to determine the presence of AR, It is often not related to actual symptoms, and ...
Image Processing, Computer-Assisted Rhinitis, Allergic Turbinates Middle Aged Deep Learning Humans Female Endoscopy Male Adult
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Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images.

PloS one Jun 11, 2025
INTRODUCTION: Successful application of artificial intelligence (AI) in endoscopy requires effective image processing. Yet, the plethora of sources for endoscopic images, such as different processor-endoscope combinations or capsule endoscopy devices...
Artificial Intelligence Algorithms Humans Capsule Endoscopy Endoscopy Image Processing, Computer-Assisted
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A monocular endoscopic image depth estimation method based on a window-adaptive asymmetric dual-branch Siamese network.

Scientific reports May 15, 2025
Minimally invasive surgery involves entering the body through small incisions or natural orifices, using a medical endoscope for observation and clinical procedures. However, traditional endoscopic images often suffer from low texture and uneven illu...
Endoscopy Humans Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms
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Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.

IEEE journal of biomedical and health informatics May 6, 2025
Recent advancements in endoscopy video analysis have relied on the utilization of relatively short video clips extracted from longer videos or millions of individual frames. However, these approaches tend to neglect the domain-specific characteristic...
Image Processing, Computer-Assisted Video Recording Machine Learning Algorithms Humans Endoscopy
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ConsisTNet: a spatio-temporal approach for consistent anatomical localization in endoscopic pituitary surgery.

International journal of computer assisted radiology and surgery Apr 29, 2025
PURPOSE: Automated localization of critical anatomical structures in endoscopic pituitary surgery is crucial for enhancing patient safety and surgical outcomes. While deep learning models have shown promise in this task, their predictions often suffe...
Pituitary Neoplasms Humans Surgery, Computer-Assisted Endoscopy Pituitary Gland Spatio-Temporal Analysis Deep Learning
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Application of artificial intelligence in the diagnosis of malignant digestive tract tumors: focusing on opportunities and challenges in endoscopy and pathology.

Journal of translational medicine Apr 9, 2025
BACKGROUND: Malignant digestive tract tumors are highly prevalent and fatal tumor types globally, often diagnosed at advanced stages due to atypical early symptoms, causing patients to miss optimal treatment opportunities. Traditional endoscopic and ...
Digestive System Neoplasms Endoscopy Deep Learning Gastrointestinal Neoplasms Humans Artificial Intelligence
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UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

IEEE transactions on medical imaging Mar 17, 2025
Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally invasive procedures. Novel View Synthesis is a vital technique that offers geometry and appearance reconstruction, enhancing understanding, planning,...
Imaging, Three-Dimensional Humans Image Processing, Computer-Assisted Algorithms Neural Networks, Computer Endoscopy Uncertainty
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NaMA-Mamba: Foundation model for generalizable nasal disease detection using masked autoencoder with Mamba on endoscopic images.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 12, 2025
Artificial intelligence (AI) has shown great promise in analyzing nasal endoscopic images for disease detection. However, current AI systems require extensive expert-labeled data for each specific medical condition, limiting their applications. In th...
Image Interpretation, Computer-Assisted Machine Learning Autoencoder Algorithms Humans Nose Diseases Endoscopy Artificial Intelligence
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