Results 171 to 180 of about 28,648 (284)

Roadmap for Representative Artificial Intelligence Models for Thyroid Cancer

open access: yesThe Laryngoscope, EarlyView.
Artificial intelligence (AI) models in thyroid cancer are often not generalizable due to biased or non‐representative training and validation datasets. We propose a four‐stage roadmap emphasizing representative data collection, inclusion of contextual variables, robust training/validation design, and post‐deployment monitoring to improve fairness and ...
Rashi Ramchandani   +14 more
wiley   +1 more source

Giant cell tumor of the temporal bone: two case reports and literature review. [PDF]

open access: yesArch Craniofac Surg
Abderrahmen K   +4 more
europepmc   +1 more source

Long‐Term Cost Utility Analysis of Endoscopic Sinus Surgery: Analysis of 5‐Year Outcomes

open access: yesThe Laryngoscope, EarlyView.
This study utilizes a cohort‐style Markov decision tree economic model to evaluate the long‐term (5‐year) cost‐effectiveness of endoscopic sinus surgery versus medical management for patients with chronic rhinosinusitis. The results show that the endoscopic sinus surgery strategy cost more ($63,296.27) but yielded increased quality‐adjusted life years (
Dara R. Adams   +5 more
wiley   +1 more source

Impact of Obesity on the Structured Histopathology of Chronic Rhinosinusitis Patients

open access: yesThe Laryngoscope, EarlyView.
ABSTRACT Objectives Obesity is an established risk factor for asthma, which shares common inflammatory pathways with chronic rhinosinusitis (CRS). However, the link between obesity and CRS remains poorly understood. By identifying trends in the structured histopathology (SHP) of obese patients with CRS, we aim to better understand how changes in the ...
Daniel X. Ma   +7 more
wiley   +1 more source

What Is the Best Approach for the Management of Mental Health Disease Among Head and Neck Cancer Patients?

open access: yesThe Laryngoscope, EarlyView.
Although patients with head and neck cancer (HND) commonly experience mental health disease (MHD) at rates equal to or greater than those of patients with other types of cancer, HNC patients with MHD are often underdiagnosed and untreated. Thus, validated surveys should be used to screen for MHD, as subjective clinical judgement may underdiagnose MHD ...
Matthew E. Lin   +4 more
wiley   +1 more source

Machine Learning to Predict Extranodal Extension in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis

open access: yesThe Laryngoscope, EarlyView.
Machine learning algorithms (MLAs) demonstrated significantly higher diagnostic performance than radiologists in detecting extranodal extension (ENE) in head and neck squamous cell carcinoma using CT scans. This meta‐analysis of six studies found that MLAs had a pooled AUC of 0.91, whereas radiologists achieved only 0.65.
Arshbir Aulakh   +7 more
wiley   +1 more source

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