Results 131 to 140 of about 32,621 (265)
CT and MR findings of mycotic infection of the paranasal sinus: differentiation from sinonasal neoplasm [PDF]
Kil Woo Lee+4 more
openalex +1 more source
Porous polyethylene in reconstructive head and neck surgery [PDF]
Berghaus, Alexander
core +1 more source
Renal Cell Carcinoma Metastasis to the Sinonasal cavity: Case Report
Renal cell carcinoma accounts for 3% of all adult malignant tumors. Common sites of metastases are lungs, bone, liver, brain and adrenal glands. Metastatic disease to the head and neck ranges from 15% to 30%. The 5-year survival rate after nephrectomy is
Marijan Kovačić+2 more
doaj
Sinonasal organising haematoma – a little known entity
Introduction: Sinonasal organising haematoma is a recently described, rare, benign inflammatory condition, which closely resembles malignancy in its clinical presentation. Objective: To describe the clinical features of organising haematoma and to review
Lalee Varghese+5 more
doaj
Diagnostics of neoplasms of the nasal cavity an paranasal sinuses
V. I. Popadyuk+2 more
openalex +1 more source
Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals [PDF]
Remote patient monitoring based on wearable single-lead electrocardiogram (ECG) devices has significant potential for enabling the early detection of heart disease, especially in combination with artificial intelligence (AI) approaches for automated heart disease detection. There have been prior studies applying AI approaches based on deep learning for
arxiv
O papiloma invertido (PI) apresenta diversos tipos de tratamento cirúrgico. A abordagem endoscópica exclusiva tem se mostrado na última década como boa opção em relação à abordagem externa.
Fábio de Azevedo Caparroz+2 more
doaj
A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm [PDF]
Atrial Fibrillation (AF) is a common cardiac arrhythmia. Many AF patients experience complications such as stroke and other cardiovascular issues. Early detection of AF is crucial. Existing algorithms can only distinguish ``AF rhythm in AF patients'' from ``sinus rhythm in normal individuals'' .
arxiv