Results 151 to 160 of about 40,015 (285)

Clinical Use of S53P4 Bioactive Glass in the Treatment of Bone Defects and Infected Bone: A Systematic Review of the Quality of Clinical Outcomes and A Grade Assessment

open access: yesAdvanced Healthcare Materials, Volume 15, Issue 5, 2 February 2026.
Bioactive glass (BAG) S53P4 is a synthetic bone substitute. Clinically it has been used in the treatment of benign bone tumor surgery, in spine surgery, in trauma surgery, in frontal sinus surgery, in diabetic foot osteomyelitis surgery, in mastoid surgery, in oral and maxillofacial surgery in more than 4000 patients, with excellent clinical long‐term ...
Sebastian CE Lindfors   +2 more
wiley   +1 more source

Concha bullosa: types and relationship with chronic sinusitis

open access: diamond, 2017
Saarthak Wadhwa   +3 more
openalex   +2 more sources

Machine Learning‐Enhanced Clinical Decision Support for Diagnosing Sinusitis With Nasal Endoscopy

open access: yesInternational Forum of Allergy &Rhinology, Volume 16, Issue 2, Page 152-161, February 2026.
ABSTRACT Background Sinusitis is a prevalent disease for which nasal endoscopy (NE) is an optimal diagnostic modality. However, NE accuracy is limited by inter‐operator variability in landmark identification and localization of mucus that is necessary for sinusitis diagnosis. We sought to develop a novel multi‐class machine learning (ML) framework that
Dipesh Gyawali   +12 more
wiley   +1 more source

Our Experience of Surgically Managing Orbital Complications Due to Chronic Sinusitis: A Case Series. [PDF]

open access: yesIndian J Otolaryngol Head Neck Surg, 2023
Shamanna K   +2 more
europepmc   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 422-444, February 2026.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo   +8 more
wiley   +1 more source

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