AIMC Topic: Nasal Mucosa

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A Human-AI interaction paradigm and its application to rhinocytology.

Artificial intelligence in medicine
This article explores Human-Centered Artificial Intelligence (HCAI) in medical cytology, with a focus on enhancing the interaction with AI. It presents a Human-AI interaction paradigm that emphasizes explainability and user control of AI systems. It ...

Nose-to-Brain Drug Delivery and Physico-Chemical Properties of Nanosystems: Analysis and Correlation Studies of Data from Scientific Literature.

International journal of nanomedicine
BACKGROUND: In the last few decades, nose-to-brain delivery has been investigated as an alternative route to deliver molecules to the Central Nervous System (CNS), bypassing the Blood-Brain Barrier. The use of nanotechnological carriers to promote dr...

Identification of Hit Compounds Using Artificial Intelligence for the Management of Allergic Diseases.

International journal of molecular sciences
This study aimed to identify and evaluate drug candidates targeting the kinase inhibitory region of suppressor of cytokine signaling (SOCS) 3 for the treatment of allergic rhinitis (AR). Utilizing an artificial intelligence (AI)-based new drug develo...

Nasopharyngeal metabolomics and machine learning approach for the diagnosis of influenza.

EBioMedicine
BACKGROUND: Respiratory virus infections are significant causes of morbidity and mortality, and may induce host metabolite alterations by infecting respiratory epithelial cells. We investigated the use of liquid chromatography quadrupole time-of-flig...

Nasal cytology with deep learning techniques.

International journal of medical informatics
BACKGROUND: In recent years, cytological observations in the Rhinology field are being increasingly utilized. This development has taken place over the last two decades and has proven to be fundamental in defining new nosological entities and in driv...

A Nasal Brush-based Classifier of Asthma Identified by Machine Learning Analysis of Nasal RNA Sequence Data.

Scientific reports
Asthma is a common, under-diagnosed disease affecting all ages. We sought to identify a nasal brush-based classifier of mild/moderate asthma. 190 subjects with mild/moderate asthma and controls underwent nasal brushing and RNA sequencing of nasal sam...

Performance of artificial intelligence in evaluating maxillary sinus mucosal alterations in imaging examinations: systematic review.

Dento maxillo facial radiology
OBJECTIVES: This systematic review aimed to assess the performance of artificial intelligence (AI) in the evaluation of maxillary sinus mucosal alterations in imaging examinations compared to human analysis.