Current state of artificial intelligence in clinical applications for head and neck MR imaging

N Fujima, K Kamagata, D Ueda, S Fujita… - … Resonance in Medical …, 2023 - jstage.jst.go.jp
Due primarily to the excellent soft tissue contrast depictions provided by MRI, the
widespread application of head and neck MRI in clinical practice serves to assess various …

[HTML][HTML] Modern imaging of acute pulmonary embolism

CMM de Jong, LJM Kroft, TE van Mens, MV Huisman… - Thrombosis research, 2024 - Elsevier
The first-choice imaging test for visualization of thromboemboli in the pulmonary vasculature
in patients with suspected acute pulmonary embolism (PE) is multidetector computed …

Efficient and accurate identification of ear diseases using an ensemble deep learning model

X Zeng, Z Jiang, W Luo, H Li, H Li, G Li, J Shi, K Wu… - Scientific Reports, 2021 - nature.com
Early detection and appropriate medical treatment are of great use for ear disease.
However, a new diagnostic strategy is necessary for the absence of experts and relatively …

A non-invasive, automated diagnosis of Menière's disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case …

MFJA van der Lubbe, A Vaidyanathan, M de Wit… - La radiologia …, 2022 - Springer
Purpose This study investigated the feasibility of a new image analysis technique
(radiomics) on conventional MRI for the computer-aided diagnosis of Menière's disease …

Automated prediction of extraction difficulty and inferior alveolar nerve injury for mandibular third molar using a deep neural network

J Lee, J Park, SY Moon, K Lee - Applied Sciences, 2022 - mdpi.com
Extraction of mandibular third molars is a common procedure in oral and maxillofacial
surgery. There are studies that simultaneously predict the extraction difficulty of mandibular …

Classification of pulmonary sounds through deep learning for the diagnosis of interstitial lung diseases secondary to connective tissue diseases

B Dianat, P La Torraca, A Manfredi, G Cassone… - Computers in Biology …, 2023 - Elsevier
Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is
critical for the treatment and survival of patients. The symptoms, like dry cough and dyspnea …

[HTML][HTML] Structure-aware deep learning for chronic middle ear disease

Z Wang, J Song, R Su, M Hou, M Qi, J Zhang… - Expert Systems with …, 2022 - Elsevier
The main purpose of this paper was to develop a deep-learning method for the diagnosis of
different chronic middle ear diseases, including middle ear cholesteatoma and chronic …

Generation of microbial colonies dataset with deep learning style transfer

J Pawłowski, S Majchrowska, T Golan - Scientific Reports, 2022 - nature.com
We introduce an effective strategy to generate an annotated synthetic dataset of
microbiological images of Petri dishes that can be used to train deep learning models in a …

Teeth and prostheses detection in dental panoramic X-rays using CNN-based object detector and a priori knowledge-based algorithm

MA Ali, D Fujita, S Kobashi - Scientific Reports, 2023 - nature.com
Deep learning techniques for automatically detecting teeth in dental X-rays have gained
popularity, providing valuable assistance to healthcare professionals. However, teeth …

75% radiation dose reduction using deep learning reconstruction on low-dose chest CT

GD Jo, C Ahn, JH Hong, DS Kim, J Park, H Kim… - BMC Medical …, 2023 - Springer
Objective Few studies have explored the clinical feasibility of using deep-learning
reconstruction to reduce the radiation dose of CT. We aimed to compare the image quality …