ABSTRACT Background Large language models (LLMs), such as ChatGPT, are increasingly utilized by physicians for clinical decision support due to their ease of use and versatility. However, their performance in diagnostic imaging remains largely untested.
Mohammed Sulaiman Alsayyari +4 more
wiley +1 more source
The chronic rhinosinusitis with nasal polyp patient journey in the United States and Europe. [PDF]
Hwee J +5 more
europepmc +1 more source
Obesity and New‐Onset Asthma Risk in Chronic Rhinosinusitis: A Population‐Based Cohort Study
This population‐based cohort study used the TriNetX U.S. Collaborative Network to evaluate the association between body mass index and subsequent asthma outcomes among adults with chronic rhinosinusitis. Elevated BMI was associated with a dose‐dependent increase in risk of new‐onset asthma and asthma exacerbations across 1‐, 2‐, and 5‐year follow‐up ...
Austin J. Lee +2 more
wiley +1 more source
Desmoid Fibromatosis of Maxillary Sinus Masquerading as Nasal Polyp: A Case Report. [PDF]
Kasliwal A, Ahuja P, Jain K.
europepmc +1 more source
Viral Detection and Clinical Disease Features in Pediatric Chronic Rhinosinusitis
ABSTRACT Objectives Chronic rhinosinusitis (CRS) results from complex host‐environment interactions with microbiome dysbiosis and viral infections postulated to drive inflammation and anatomic remodeling. This study investigates the impact of viral presence on pediatric sinonasal disease and clinical outcomes.
Mary C. Wilding +7 more
wiley +1 more source
Assessment of chronic rhinosinusitis with nasal polyps: Development of the Nasal Polyp Patient Assessment Scoring Sheet tool. [PDF]
Alsaleh S +16 more
europepmc +1 more source
This study demonstrates that high radiological severity in patients with CRSwNP is uniquely characterized by a mixed Type 2 and Type 3 epithelial inflammatory signature. These findings suggest that severe disease involves a complex immune endotype, providing new insights into precision therapeutic strategies for refractory CRSwNP.
Guangfu Xu +5 more
wiley +1 more source
AI‐Enabled Mucus Segmentation in Nasal Endoscopy with State Space and Attention‐Based Modeling
We developed SUM‐MucusNet, an artificial intelligence system for reliable mucus segmentation in nasal endoscopy, designed to overcome challenges from poor image quality and illumination artifacts. The model represents a modest but statistically supported improvement over the next‐best model, achieving a Dice score of 71%. SUM‐MucusNet enables real‐time
Dipesh Gyawali +8 more
wiley +1 more source
Combination Biologic Therapy with Mepolizumab and Dupilumab for Severe Eosinophilic Granulomatosis with Polyangiitis and Chronic Rhinosinusitis with Nasal Polyp. [PDF]
Nakamura Y +5 more
europepmc +1 more source

