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Accuracy of ChatGPT generated diagnosis from patient's medical history and imaging findings in neuroradiology cases.

Neuroradiology 37994939
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...
Artificial Intelligence Brain Head Humans Neck Neoplasms
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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 37991498
OBJECTIVES: To evaluate the ChatGPT-4 performance in oncological board decisions.
Artificial Intelligence Biopsy Head Humans Neck 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.) 37989922
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).
Adult Aged Aged, 80 and over Artifacts Deep Learning Diffusion Magnetic Resonance Imaging Female Head Head and Neck Neoplasms Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Male Middle Aged Neck Parotid Gland Retrospective Studies Signal-To-Noise Ratio
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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 37962570
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.
Artificial Intelligence Humans Neck Nose Pharynx
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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) 38052240
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).
Adult Aged Contrast Media Deep Learning Diagnosis, Differential Elasticity Imaging Techniques Feasibility Studies Female Head and Neck Neoplasms Humans Lung Neoplasms Lymphadenopathy Lymphatic Metastasis Male Middle Aged Multimodal Imaging Neck Radiomics Thyroid Neoplasms Ultrasonography
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A cross-sectional comparative study: ChatGPT 3.5 versus diverse levels of medical experts in the diagnosis of ENT diseases.

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 38365990
PURPOSE: With recent advances in artificial intelligence (AI), it has become crucial to thoroughly evaluate its applicability in healthcare. This study aimed to assess the accuracy of ChatGPT in diagnosing ear, nose, and throat (ENT) pathology, and c...
Artificial Intelligence Cross-Sectional Studies Humans Neck Pharyngeal Diseases Pharynx
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A supervised machine learning model for identifying predictive factors for recommending head and neck cancer surgery.

Head & neck 38344931
BACKGROUND: New patient referrals are often processed by practice coordinators with little-to-no medical background. Treatment delays due to incorrect referral processing, however, have detrimental consequences. Identifying variables that are associa...
Head and Neck Neoplasms Humans Neck Predictive Value of Tests Retrospective Studies Supervised Machine Learning
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Application of deep-learning to the automatic segmentation and classification of lateral lymph nodes on ultrasound images of papillary thyroid carcinoma.

Asian journal of surgery 38453612
PURPOSE: It is crucial to preoperatively diagnose lateral cervical lymph node (LN) metastases (LNMs) in papillary thyroid carcinoma (PTC) patients. This study aims to develop deep-learning models for the automatic segmentation and classification of L...
Adult Aged Deep Learning Female Humans Image Processing, Computer-Assisted Lymph Nodes Lymphatic Metastasis Male Middle Aged Neck Thyroid Cancer, Papillary Thyroid Neoplasms Ultrasonography
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Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma: a prospective diagnostic study.

Endocrine 38570388
PURPOSE: This study aims to develop a deep learning-based computer-aided diagnosis (CAD) system for the automatic detection and classification of lateral cervical lymph nodes (LNs) on original ultrasound images of papillary thyroid carcinoma (PTC) pa...
Adult Aged Deep Learning Diagnosis, Computer-Assisted Female Humans Lymph Nodes Lymphatic Metastasis Male Middle Aged Neck Prospective Studies Retrospective Studies Thyroid Cancer, Papillary Thyroid Neoplasms Ultrasonography Young Adult
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Generative artificial intelligence in otolaryngology-head and neck surgery editorial: be an actor of the future or follower.

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 38407611
Artificial Intelligence Head Humans Neck Nose Otolaryngology
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