AIMC Topic: Neck

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Deep learning radiomics of multimodal ultrasound for classifying metastatic cervical lymphadenopathy into primary cancer sites: a feasibility study.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Dec 5, 2023
PURPOSE: To investigate the feasibility of deep learning radiomics (DLR) based on multimodal ultrasound to differentiate the primary cancer sites of metastatic cervical lymphadenopathy (CLA).
Lymphadenopathy Head and Neck Neoplasms Neck Thyroid Neoplasms Ultrasonography Lung Neoplasms Diagnosis, Differential Feasibility Studies Elasticity Imaging Techniques Lymphatic Metastasis Contrast Media Multimodal Imaging Aged Adult Radiomics Male Middle Aged Deep Learning Humans Female
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Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases.

Neuroradiology Nov 23, 2023
PURPOSE: The noteworthy performance of Chat Generative Pre-trained Transformer (ChatGPT), an artificial intelligence text generation model based on the GPT-4 architecture, has been demonstrated in various fields; however, its potential applications i...
Humans Artificial Intelligence Brain Neoplasms Neck Head
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Accuracy of ChatGPT in head and neck oncological board decisions: preliminary findings.

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 22, 2023
OBJECTIVES: To evaluate the ChatGPT-4 performance in oncological board decisions.
Biopsy Artificial Intelligence Head Neck Humans Positron Emission Tomography Computed Tomography
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Improvement of image quality in diffusion-weighted imaging with model-based deep learning reconstruction for evaluations of the head and neck.

Magma (New York, N.Y.) Nov 21, 2023
OBJECTIVES: To investigate the utility of deep learning (DL)-based image reconstruction using a model-based approach in head and neck diffusion-weighted imaging (DWI).
Diffusion Magnetic Resonance Imaging Head Signal-To-Noise Ratio Image Processing, Computer-Assisted Head and Neck Neoplasms Neck Parotid Gland Image Interpretation, Computer-Assisted Artifacts Male Middle Aged Aged, 80 and over Deep Learning Adult Retrospective Studies Humans Female Aged
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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.
Humans Artificial Intelligence Neck Pharynx Nose
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Framework for Radiation Oncology Department-wide Evaluation and Implementation of Commercial Artificial Intelligence Autocontouring.

Practical radiation oncology Nov 5, 2023
PURPOSE: Artificial intelligence (AI)-based autocontouring in radiation oncology has potential benefits such as standardization and time savings. However, commercial AI solutions require careful evaluation before clinical integration. We developed a ...
Humans Artificial Intelligence Algorithms Radiation Oncology Tomography, X-Ray Computed Neck
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Diagnosis with confidence: deep learning for reliable classification of laryngeal dysplasia.

Histopathology Oct 23, 2023
BACKGROUND: Diagnosis of head and neck (HN) squamous dysplasias and carcinomas is critical for patient care, cure, and follow-up. It can be challenging, especially for grading intraepithelial lesions. Despite recent simplification in the last WHO gra...
Hyperplasia Neck Head Humans Carcinoma, Squamous Cell Deep Learning
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A statistical deformation model-based data augmentation method for volumetric medical image segmentation.

Medical image analysis Oct 7, 2023
The accurate delineation of organs-at-risk (OARs) is a crucial step in treatment planning during radiotherapy, as it minimizes the potential adverse effects of radiation on surrounding healthy organs. However, manual contouring of OARs in computed to...
Humans Artificial Intelligence Image Processing, Computer-Assisted Neck Radiotherapy Planning, Computer-Assisted Algorithms Tomography, X-Ray Computed Neoplasms
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MLNet: Metaheuristics-Based Lightweight Deep Learning Network for Cervical Cancer Diagnosis.

IEEE journal of biomedical and health informatics Oct 5, 2023
One of the leading causes of cancer-related deaths among women is cervical cancer. Early diagnosis and treatment can minimize the complications of this cancer. Recently, researchers have designed and implemented many deep learning-based automated cer...
Neck Benchmarking Uterine Cervical Neoplasms Humans Exercise Female Deep Learning
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Contour subregion error detection methodology using deep learning auto-segmentation.

Medical physics Oct 4, 2023
BACKGROUND: Inaccurate manual organ delineation is one of the high-risk failure modes in radiation treatment. Numerous automated contour quality assurance (QA) systems have been developed to assess contour acceptability; however, manual inspection of...
Neck Deep Learning Organs at Risk Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Head and Neck Neoplasms Humans Tomography, X-Ray Computed
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