AIMC Topic: Rhinitis
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Assessing the quality of artificial intelligence-generated patient counseling for rhinosinusitis.
International forum of allergy & rhinology
Jun 18, 2024
GPT-4 generated moderate quality information in response to questions regarding sinusitis and surgery. GPT-4 generated significantly higher quality responses to questions regarding treatment of sinusitis. Future studies exploring quality of GPT respo...
A multi-view fusion lightweight network for CRSwNPs prediction on CT images.
BMC medical imaging
May 16, 2024
Accurate preoperative differentiation of the chronic rhinosinusitis (CRS) endotype between eosinophilic CRS (eCRS) and non-eosinophilic CRS (non-eCRS) is an important topic in predicting postoperative outcomes and administering personalized treatment...
The Application of mHealth and Artificial Intelligence to Chronic Rhinitis.
The journal of allergy and clinical immunology. In practice
Apr 17, 2024
A machine-learning exploration of the exposome from preconception in early childhood atopic eczema, rhinitis and wheeze development.
Environmental research
Feb 19, 2024
BACKGROUND: Most previous research on the environmental epidemiology of childhood atopic eczema, rhinitis and wheeze is limited in the scope of risk factors studied. Our study adopted a machine learning approach to explore the role of the exposome st...
Continuum robots for endoscopic sinus surgery: Recent advances, challenges, and prospects.
The international journal of medical robotics + computer assisted surgery : MRCAS
Oct 25, 2022
PURPOSE: Endoscopic sinus surgery (ESS) has been recognized as an effective treatment modality for paranasal sinus diseases. Over the past decade, continuum robots (CRs) for ESS have been studied, but there are still some challenges. This paper prese...
Differentiation of eosinophilic and non-eosinophilic chronic rhinosinusitis on preoperative computed tomography using deep learning.
Clinical otolaryngology : official journal of ENT-UK ; official journal of Netherlands Society for Oto-Rhino-Laryngology & Cervico-Facial Surgery
Oct 14, 2022
OBJECTIVES: This study aimed to develop deep learning (DL) models for differentiating between eosinophilic chronic rhinosinusitis (ECRS) and non-ECRS (NECRS) on preoperative CT.
S. aureus and IgE-mediated diseases: pilot or copilot? A narrative review.
Expert review of clinical immunology
May 9, 2022
INTRODUCTION: is a major opportunistic pathogen that has been implicated in the pathogenesis of several chronic inflammatory diseases including bronchial asthma, chronic rhinosinusitis with nasal polyps (CRSwNP), chronic spontaneous urticaria (CSU),...
Semi-Supervised Deep Learning Semantic Segmentation for 3D Volumetric Computed Tomographic Scoring of Chronic Rhinosinusitis: Clinical Correlations and Comparison with Lund-Mackay Scoring.
Tomography (Ann Arbor, Mich.)
Mar 7, 2022
BACKGROUND: The traditional Lund-Mackay score (TLMs) is unable to subgrade the volume of inflammatory disease. We aimed to propose an effective modification and calculated the volume-based modified LM score (VMLMs), which should correlate more strong...
Tualang honey versus steroid impregnated nasal dressing following endoscopic sinus surgery: a randomized controlled trial.
Journal of complementary & integrative medicine
Dec 21, 2020
OBJECTIVES: Recurrence rate of nasal polyps is high following endoscopic sinus surgery. To improve the surgical outcome, steroid impregnated nasal dressing is used postoperatively We aimed to compare the effect of Tualang honey impregnated nasal dres...
Medical data science in rhinology: Background and implications for clinicians.
American journal of otolaryngology
Jul 2, 2020
BACKGROUND: An important challenge of big data is using complex information networks to provide useful clinical information. Recently, machine learning, and particularly deep learning, has enabled rapid advances in clinical practice. The application ...
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