AIMC Topic: Nasal Cavity
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Case study on force compliant robot arm controller for nasopharyngeal swab insertion.
Scientific reports
Jul 2, 2025
The nasopharyngeal (NP) swab sample test, commonly used to detect COVID-19 and other respiratory illnesses, involves moving a swab through the nasal cavity to collect samples from the nasopharynx. While typically this is done by human healthcare work...
Comparative analysis of the human microbiome from four different regions of China and machine learning-based geographical inference.
mSphere
Dec 19, 2024
The human microbiome, the community of microorganisms that reside on and inside the human body, is critically important for health and disease. However, it is influenced by various factors and may vary among individuals residing in distinct geographi...
Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.
BMC medical informatics and decision making
May 29, 2024
BACKGROUND: Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed to develop a deep learning algorithm for computer-aided diagnosis...
Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images.
PloS one
Mar 13, 2024
Nasal endoscopy is routinely performed to distinguish the pathological types of masses. There is a lack of studies on deep learning algorithms for discriminating a wide range of endoscopic nasal cavity mass lesions. Therefore, we aimed to develop an ...
Exploring the influence of nasal vestibule structure on nasal obstruction using CFD and Machine Learning method.
Medical engineering & physics
May 12, 2023
Motivated by clinical findings about the nasal vestibule, this study analyzes the aerodynamic characteristics of the nasal vestibule and attempt to determine anatomical features which have a large influence on airflow through a combination of Computa...
Feasibility of a deep learning-based algorithm for automated detection and classification of nasal polyps and inverted papillomas on nasal endoscopic images.
International forum of allergy & rhinology
Jun 20, 2021
BACKGROUND: Discrimination of nasal cavity mass lesions is a challenging work requiring extensive experience. A deep learning-based automated diagnostic system may help clinicians to classify nasal cavity mass lesions. We demonstrated the feasibility...
A deep learning approach for dental implant planning in cone-beam computed tomography images.
BMC medical imaging
May 19, 2021
BACKGROUND: The aim of this study was to evaluate the success of the artificial intelligence (AI) system in implant planning using three-dimensional cone-beam computed tomography (CBCT) images.
Foot-controlled robotic-enabled endoscope holder for endoscopic sinus surgery: A cadaveric feasibility study.
The Laryngoscope
Sep 15, 2015
OBJECTIVES/HYPOTHESIS: To evaluate the feasibility of a unique prototype foot-controlled robotic-enabled endoscope holder (FREE) in functional endoscopic sinus surgery.
Robotic nasopharyngectomy via combined endonasal and transantral port: a preliminary cadaveric study.
The Laryngoscope
Apr 15, 2015
OBJECTIVES/HYPOTHESIS: The objective of this study was to determine the potential role of a surgical robotic system in nasopharyngeal surgery using bilateral transantral or combined endonasal/transantral port.
Merged Affinity Network Association Clustering: Joint multi-omic/clinical clustering to identify disease endotypes.
Cell reports
Apr 13, 2021
Although clinical and laboratory data have long been used to guide medical practice, this information is rarely integrated with multi-omic data to identify endotypes. We present Merged Affinity Network Association Clustering (MANAclust), a coding-fre...
Unsupervised Machine Learning
Benchmarking
Microbiota
Allergens
Epigenome
Humans
Nasal Cavity
Datasets as Topic
Gene Expression Regulation
Male
Atlases as Topic
Child
Middle Aged
Feces
Precision Medicine
Gene Expression Profiling
Proteomics
Transcriptome
Female
Cluster Analysis
Adult
Case-Control Studies
Asthma
Adolescent
Child, Preschool
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