Out-of-Pocket Costs and Surprise Billing in Otolaryngology: A National Database Analysis [0.03%]
耳鼻喉科的自付费用和意外计费：一项全国数据库分析
Nicholas R Lenze,Chamila D Perera,Karan R Chhabra et al.
Nicholas R Lenze et al.
Objective: To evaluate out-of-pocket (OOP) costs and surprise billing (unexpected charges from out-of-network providers) in otolaryngology. Study design: ...
Rebecca An Ho,Esha Shah,John Sebastian De Armas et al.
Rebecca An Ho et al.
Objective: Evaluate and compare artificial intelligence (AI) chatbot responses to queries extrapolated from statements by Dysphonia International (DI). St...
Auditory Outcomes in Patients Undergoing Orthognathic Surgery: An Analysis of Middle Ear Disease [0.03%]
正颌手术患者的听力结局：中耳疾病的分析
Sarah E Hughes,Shadi Mehrabi,Grace Carvette et al.
Sarah E Hughes et al.
Objective: To characterize postoperative Eustachian tube dysfunction (ETD) and middle ear pathology following Le Fort I osteotomy. Study design: ...
Moving Lumbar Drain Placement to IR From the Operating Room Creates Time and Cost Savings [0.03%]
神经外科腰椎引流置管术在导管室开展可节约时间和成本
David K Lerner,Saawan Patel,Chau Phung et al.
David K Lerner et al.
Objective: Surgeons often place lumbar drains (LD) perioperatively in patients undergoing repair for spontaneous cerebrospinal fluid (CSF) rhinorrhea. We analyzed the cost implications of a transition from operating room ...
Validation of the Hearing Utility Measure (HUM) in Cochlear Implant Candidates and Users [0.03%]
cochlear植入候选者和使用者中听觉效用测量(HUM)的验证
Peter R Dixon,Anuja H Shah,Theodore R McRackan et al.
Peter R Dixon et al.
Objective: To validate the Hearing Utility Measure (HUM), a tool designed to quantify hearing loss impact on health and quality of life for use in economic evaluation. ...
Automated Machine Learning Differentiation of Pituitary Macroadenomas and Parasellar Meningiomas Using Preoperative Magnetic Resonance Imaging [0.03%]
基于术前磁共振成像的自动机器学习鉴别鞍区垂体大腺瘤及脑膜瘤
Elliott M Sina,Kelsey Limage,Emma Anisman et al.
Elliott M Sina et al.
Introduction: Automated machine learning (AutoML) is an artificial intelligence tool that facilitates image recognition model development. This study evaluates the diagnostic performance of AutoML in differentiating pitui...
Anthropometric Predictors in Drug-Induced Sleep Endoscopy With Positive Airway Pressure [0.03%]
正压通气下的药物诱导睡眠内镜的人体测量预测因素
Elliott M Sina,Jared Robinson,Alana Platukus et al.
Elliott M Sina et al.
Objective: Anthropometric measurements are key risk factors for obstructive sleep apnea (OSA), yet their role as predictors of surgical outcomes in continuous positive airway pressure (CPAP)-intolerant patients remains un...
Long-Term Outcomes of Patients With HPV+ Unknown Primary Squamous Cell Carcinoma Treated With Transoral Surgery [0.03%]
经口手术治疗HPV相关隐匿性原发癌型扁平细胞癌的长期疗效分析
Thomas F Barrett,Adam Boukind,Kwasi Enin et al.
Thomas F Barrett et al.
Objective: Transoral surgery with neck dissection and risk-directed adjuvant therapy for unknown primary HPV-associated squamous cell carcinoma is an effective strategy to identify the primary lesion, minimize radiation d...
"Close Then Clear" Margins in Transoral Resection of p16+ Oropharyngeal Squamous Cell Carcinoma [0.03%]
“缩进再切除” margins在p16阳性口咽鳞癌经口微创手术中的应用
Chrisje Den Besten,Kalpesh Hathi,Colin MacKay et al.
Chrisje Den Besten et al.
Objective: Standard 5-mm surgical margins in the oropharynx are challenging due to the intimate relationship with neurovascular structures and patient function. De-escalation of therapy with the acceptance of close surgic...
A Retrospective Review on the Association Between Drug-Induced Sleep Endoscopy Findings and Surgical Outcomes [0.03%]
药物诱发睡眠内镜检查与手术结局相关性回顾性分析
Sharan Jayesh Shah,Faye Zhang,Marc Gibber
Sharan Jayesh Shah
Objective: We aim to gain a better understanding of the relationship between drug-induced sleep endoscopy (DISE) findings and surgical success. Study desi...