AIMC Topic: Head
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Assessing the accuracy of ChatGPT references in head and neck and ENT disciplines.
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
Sep 8, 2023
PURPOSE: ChatGPT has gained popularity as a web application since its release in 2022. While artificial intelligence (AI) systems' potential in scientific writing is widely discussed, their reliability in reviewing literature and providing accurate r...
Shortening image registration time using a deep neural network for patient positional verification in radiotherapy.
Physical and engineering sciences in medicine
Aug 28, 2023
We sought to accelerate 2D/3D image registration computation time using image synthesis with a deep neural network (DNN) to generate digitally reconstructed radiographic (DRR) images from X-ray flat panel detector (FPD) images. And we explored the fe...
Beyond the : Deep Learning Shows Promise in the Detection of Retinal Hemorrhage on Pediatric Head CT.
AJR. American journal of roentgenology
Aug 23, 2023
Automatic Deep Learning-Based Pipeline for Automatic Delineation and Measurement of Fetal Brain Structures in Routine Mid-Trimester Ultrasound Images.
Fetal diagnosis and therapy
Aug 11, 2023
INTRODUCTION: The aim of this study was to develop a pipeline using state-of-the-art deep learning methods to automatically delineate and measure several of the most important brain structures in fetal brain ultrasound (US) images.
Artificial intelligence directed development of a digital twin to measure soft tissue shift during head and neck surgery.
PloS one
Aug 9, 2023
Digital twins derived from 3D scanning data were developed to measure soft tissue deformation in head and neck surgery by an artificial intelligence approach. This framework was applied suggesting feasibility of soft tissue shift detection as a hithe...
MHL-Net: A Multistage Hierarchical Learning Network for Head and Neck Multiorgan Segmentation.
IEEE journal of biomedical and health informatics
Aug 7, 2023
Accurate segmentation of head and neck organs at risk is crucial in radiotherapy. However, the existing methods suffer from incomplete feature mining, insufficient information utilization, and difficulty in simultaneously improving the performance of...
Current State of Artificial Intelligence in Clinical Applications for Head and Neck MR Imaging.
Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine
Aug 1, 2023
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 diseases. Artificial intelligence (AI)-based methodologies, particularly dee...
Multiple instance ensembling for paranasal anomaly classification in the maxillary sinus.
International journal of computer assisted radiology and surgery
Jul 21, 2023
PURPOSE: Paranasal anomalies are commonly discovered during routine radiological screenings and can present with a wide range of morphological features. This diversity can make it difficult for convolutional neural networks (CNNs) to accurately class...
Deep learning-based local SAR prediction using B maps and structural MRI of the head for parallel transmission at 7 T.
Magnetic resonance in medicine
Jul 19, 2023
PURPOSE: To predict subject-specific local specific absorption rate (SAR) distributions of the human head for parallel transmission (pTx) systems at 7 T.
Clinical Applications, Challenges, and Recommendations for Artificial Intelligence in Musculoskeletal and Soft-Tissue Ultrasound: Expert Panel Narrative Review.
AJR. American journal of roentgenology
Jul 12, 2023
Artificial intelligence (AI) is increasingly used in clinical practice for musculoskeletal imaging tasks, such as disease diagnosis and image reconstruction. AI applications in musculoskeletal imaging have focused primarily on radiography, CT, and MR...
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