Results 241 to 250 of about 55,698 (321)

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

A strange duodenal lesion [PDF]

open access: yes, 2010
Almeida, N   +7 more
core   +1 more source

CT‐Based Comparison of Tracheostomy Placement Accuracy: Open Versus Percutaneous Approaches

open access: yesThe Laryngoscope, EarlyView.
This study provides the first objective CT‐based comparison of tracheostomy placement accuracy between open surgical and percutaneous techniques in 503 patients. Both methods achieved comparable stoma positioning relative to the cricoid cartilage, while patient factors and surgeon expertise had a greater impact on placement accuracy than the surgical ...
Emad E. Khoury   +4 more
wiley   +1 more source

Spongiosolysis [PDF]

open access: yes, 1987
Gilbert, P., Stief, Christian Georg
core   +1 more source

Downstream Impact of a Sleep Surgery Program; Optimizing Patient Care and Generating Clinical Volume

open access: yesThe Laryngoscope, EarlyView.
ABSTRACT Objectives In recent years, a growing number of Otolaryngologists have incorporated the management of sleep disorders into their practice. We aim to assess the downstream impact of a Sleep Surgery division within a department of Otolaryngology.
Sruti Tekumalla   +4 more
wiley   +1 more source

Clinical application of three-dimensional images of esophagogastric varices depicted by endoscopic ultrasonography with color doppler function

open access: bronze, 2001
Hideki Miteoka   +18 more
openalex   +1 more source

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