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Predicting High-Flow Nasal Cannula Oxygen Therapy Failure in Patients With Acute Hypoxaemic Respiratory Failure Using Machine Learning: Model Development and External Validation.
J Clin Nurs
October 2024
Department of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Aims And Objectives: To develop and validate a prediction model for high-flow nasal cannula (HFNC) failure in patients with acute hypoxaemic respiratory failure (AHRF).
Background: AHRF accounts for a major proportion of intensive care unit (ICU) admissions and is associated with high mortality. HFNC is a non-invasive respiratory support technique that can improve patient oxygenation.
Muscular tension in ear surgeons during cochlear implantations: does a new microscope improve musculoskeletal complaints?
Eur Arch Otorhinolaryngol
August 2024
Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital Essen, Hufelandstraße 55, 45147, Essen, Germany.
Purpose: Musculoskeletal complaints and fatigue are commonly described symptoms in daily work of ear nose and throat surgeons using a microscope. Long ear surgical procedures are associated with prolonged microscope use, which can lead to unconsciously tense and uncomfortable body posture. The digital microscope RoboticScope allows visualization of surgical site through a Head-Mounted Display, independent from camera head and is therefore much easier on the back, as the sitting position can be adjusted flexibly.
View Article and Find Full Text PDFArtificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects.
Int J Med Inform
August 2024
Research Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Department of Otorhinolaryngology - Head and Neck Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden.
Background: Radiomics is a rapidly growing field used to leverage medical radiological images by extracting quantitative features. These are supposed to characterize a patient's phenotype, and when combined with artificial intelligence techniques, to improve the accuracy of diagnostic models and clinical outcome prediction.
Objectives: This review aims at examining the application areas of artificial intelligence-based radiomics (AI-based radiomics) for the management of head and neck cancer (HNC).
Evaluation and Comparison of the Geometrical Relationship of Tooth and Lip Arcs and Their Correlation to Smile Arcs Between Males and Females in a North Indian Population.
Cureus
February 2023
Prosthodontics, Crown and Bridge, Regional Institute of Medical Sciences (RIMS), Imphal, IND.
Background With the increasing influence of social media, millennials and the generations that follow have increasingly pressing aesthetic concerns. Following this, there has been a sea change in treatment plans and procedures as well as the choice of material. Dentistry nowadays is dependent on digital data to compute and design prostheses; these technologies are often not readily available all over the world.
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