AIMC Journal:
Scientific reports
Showing 1671 to 1680 of 5371 articles
Performance enhancement of deep learning based solutions for pharyngeal airway space segmentation on MRI scans.
Scientific reports
Aug 24, 2024
The automatic segmentation of the pharyngeal airway space has many potential medical use, one of which is to help facilitate the creation of the Tubingen Palatal Plate. Therefore, it is of great importance to understand which methods are suitable for...
Estimation of human age using machine learning on panoramic radiographs for Brazilian patients.
Scientific reports
Aug 24, 2024
This paper addresses a relevant problem in Forensic Sciences by integrating radiological techniques with advanced machine learning methodologies to create a non-invasive, efficient, and less examiner-dependent approach to age estimation. Our study in...
Towards laryngeal cancer diagnosis using Dandelion Optimizer Algorithm with ensemble learning on biomedical throat region images.
Scientific reports
Aug 24, 2024
Laryngeal cancer exhibits a notable global health burden, with later-stage detection contributing to a low mortality rate. Laryngeal cancer diagnosis on throat region images is a pivotal application of computer vision (CV) and medical image diagnoses...
Factors for increasing positive predictive value of pneumothorax detection on chest radiographs using artificial intelligence.
Scientific reports
Aug 23, 2024
This study evaluated the positive predictive value (PPV) of artificial intelligence (AI) in detecting pneumothorax on chest radiographs (CXRs) and its affecting factors. Patients determined to have pneumothorax on CXR by a commercial AI software from...
Evaluation of perceived urgency from single-trial EEG data elicited by upper-body vibration feedback using deep learning.
Scientific reports
Aug 23, 2024
Notification systems that convey urgency without adding cognitive burden are crucial in human-computer interaction. Haptic feedback systems, particularly those utilizing vibration feedback, have emerged as a compelling solution, capable of providing ...
Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure.
Scientific reports
Aug 23, 2024
This study focuses on developing machine learning models to detect subtle alterations in hepatocyte chromatin organization due to Iron (II, III) oxide nanoparticle exposure, hypothesizing that exposure will significantly alter chromatin texture. A to...
The use of artificial neural networks in studying the progression of glaucoma.
Scientific reports
Aug 23, 2024
In ophthalmology, artificial intelligence methods show great promise due to their potential to enhance clinical observations with predictive capabilities and support physicians in diagnosing and treating patients. This paper focuses on modelling glau...
Machine learning developed a macrophage signature for predicting prognosis, immune infiltration and immunotherapy features in head and neck squamous cell carcinoma.
Scientific reports
Aug 22, 2024
Macrophages played an important role in the progression and treatment of head and neck squamous cell carcinoma (HNSCC). We employed weighted gene co-expression network analysis (WGCNA) to identify macrophage-related genes (MRGs) and classify patients...
Enhancing cervical cancer cytology screening via artificial intelligence innovation.
Scientific reports
Aug 22, 2024
A double-check process helps prevent errors and ensures quality control. However, it may lead to decreased personal accountability, reduced effort, and declining quality checks. Introducing an artificial intelligence (AI)-based system in such scenari...
Investigation of emergency department abandonment rates using machine learning algorithms in a single centre study.
Scientific reports
Aug 22, 2024
A critical problem that Emergency Departments (EDs) must address is overcrowding, as it causes extended waiting times and increased patient dissatisfaction, both of which are immediately linked to a greater number of patients who leave the ED early, ...
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