AIMC Topic: Nose
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Sex classification accuracy through machine learning algorithms - morphometric variables of human ear and nose.
BMC research notes
Apr 15, 2025
OBJECTIVE: Sex determination is an important parameter for personal identification in forensic and medico-legal examinations. The study aims at predicting sex accuracy from different parameters of ear and nose by using a novel approach of Machine Lea...
Exploring the potential of machine learning models to predict nasal measurements through facial landmarks.
The Journal of prosthetic dentistry
Jan 3, 2025
STATEMENT OF PROBLEM: Information on predicting the measurements of the nose from selected facial landmarks to assist in maxillofacial prosthodontics is lacking.
Computing nasalance with MFCCs and Convolutional Neural Networks.
PloS one
Dec 31, 2024
Nasalance is a valuable clinical biomarker for hypernasality. It is computed as the ratio of acoustic energy emitted through the nose to the total energy emitted through the mouth and nose (eNasalance). A new approach is proposed to compute nasalance...
Real-time augmentation of diagnostic nasal endoscopy video using AI-enabled edge computing.
International forum of allergy & rhinology
Sep 24, 2024
AI-enabled augmentation of nasal endoscopy video images is feasible in the clinical setting. Edge computing hardware can interface with existing nasal endoscopy equipment. Real-time AI performance can achieve an acceptable balance of accuracy and eff...
Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network.
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Jul 17, 2024
Sleep quality is an essential parameter of a healthy human life, while sleep disorders such as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold-standard is polysomnography, which utilizes an extensive range of var...
Facial soft-tissue shape changes after fixed edgewise treatment with premolar extraction in individual artificial-intelligence-classified facial profile patterns.
BMC oral health
Jun 27, 2024
OBJECTIVE: To examine the patterns of pretreatment facial soft tissue shape in orthodontic cases with premolar extraction using artificial intelligence (AI) and to investigate the corresponding changes.
Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional neural network.
International forum of allergy & rhinology
Jun 10, 2024
A convolutional neural network (CNN)-based model can accurately localize and segment turbinates in images obtained during nasal endoscopy (NE). This model represents a starting point for algorithms that comprehensively interpret NE findings.
Endoscopic surgical field clarity index: An artificial intelligence-based measure of transnasal endoscopic surgical field quality.
International forum of allergy & rhinology
Apr 22, 2024
Clear visualization during transnasal endoscopic surgery (TNES) is crucial for safe, efficient surgery. The endoscopic surgical field clarity index (ESFCI) is an artificial intelligence-enabled measure of surgical field quality. The ESFCI allows rese...
Is artificial intelligence ready to replace specialist doctors entirely? ENT specialists vs ChatGPT: 1-0, ball at the center.
European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
Nov 14, 2023
PURPOSE: The purpose of this study is to evaluate ChatGPT's responses to Ear, Nose and Throat (ENT) clinical cases and compare them with the responses of ENT specialists.
Robot-Assisted Nasal Reconstruction: A Cadaveric Study.
The Journal of craniofacial surgery
Mar 13, 2023
OBJECTIVE: Manual contouring of cartilage for nasal reconstruction is tedious and time-consuming. The use of a robot could improve the speed and precision of the contouring process. This cadaveric study evaluates the efficiency and accuracy of a robo...
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