Diagnostic and surgical innovations in otolaryngology for adult and paediatric patients during the COVID-19 era

Petrone, Paolo; Birocchi, Emanuela; Miani, Cesare; Anzivino, Roberta; Sciancalepore, Pasqua Irene; Mauro, A. Di; Dalena, Paolo; Russo, Cosimo Roberto; Ceglie, Vincenzo De; Masciavè, Maurizio; Fiorella, Maria Luisa

doi:10.14639/0392-100x-suppl.1-42-2022-05

Cited by 2 publications

(3 citation statements)

References 79 publications

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“…Machine learning algorithms are currently being employed to analyze video data, aiding in labeling anatomical structures and diagnosing conditions such as OM [ 37 ]. Using artificial intelligence (AI) technology, computers can execute tasks that traditionally necessitate human intelligence, augmenting diagnostic accuracy and potentially revolutionizing medical practices within otolaryngology [ 37 ]. Active research endeavors are underway to explore the integration of AI into diagnostic systems to enhance patient care.…”

Section: Reviewmentioning

confidence: 99%

“…Active research endeavors are underway to explore the integration of AI into diagnostic systems to enhance patient care. Telemedicine has experienced a significant surge in adoption, particularly amidst the COVID-19 pandemic, offering remote patient care through technological means [ 37 ]. Efforts are underway to develop platforms capable of providing objective information, such as audiograms and video otoscopy, thereby broadening the scope of telemedicine in otolaryngologic examinations [ 38 ].…”

Section: Reviewmentioning

confidence: 99%

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A Comprehensive Review on Biofilms in Otorhinolaryngology: Understanding the Pathogenesis, Diagnosis, and Treatment Strategies

Ghosh Moulic,

Deshmukh,

Gaurkar

2024

Cureus

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Biofilms, structured communities of microorganisms encased in a self-produced matrix, pose significant challenges in otorhinolaryngology due to their role in chronic and recurrent infections affecting the ear, nose, and throat (ENT) region. This review provides an overview of biofilms, emphasizing their formation, pathogenesis, diagnosis, and treatment strategies in otorhinolaryngological disorders. Biofilms are pivotal in chronic rhinosinusitis (CRS), otitis media, laryngopharyngeal reflux (LPR), and tonsillitis, contributing to treatment resistance and disease recurrence. Current diagnostic techniques, including imaging modalities, microbiological cultures, and molecular techniques, are discussed, alongside emerging technologies. Treatment strategies, ranging from conventional antibiotics to alternative therapies, such as biofilm disruptors, phage therapy, and immunomodulation, are evaluated in terms of their efficacy and potential clinical applications. The review underscores the significance of understanding biofilms in otorhinolaryngology and highlights the need for tailored approaches to diagnosis and management to improve patient outcomes.

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Section: Reviewmentioning

confidence: 99%

Section: Reviewmentioning

confidence: 99%

A Comprehensive Review on Biofilms in Otorhinolaryngology: Understanding the Pathogenesis, Diagnosis, and Treatment Strategies

Ghosh Moulic,

Deshmukh,

Gaurkar

2024

Cureus

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“…During that time, AI applications assisted in increasing consciousness regarding the health and safety of both patients and healthcare practitioners and in driving behavioral alterations. At the same time, more sophisticated and accurate algorithms were developed [2].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Techniques and Imaging in Otorhinolaryngology—A State-of-the-Art Review

Tsilivigkos,

Athanasopoulos,

Micco

et al. 2023

JCM

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Over the last decades, the field of medicine has witnessed significant progress in artificial intelligence (AI), the Internet of Medical Things (IoMT), and deep learning (DL) systems. Otorhinolaryngology, and imaging in its various subspecialties, has not remained untouched by this transformative trend. As the medical landscape evolves, the integration of these technologies becomes imperative in augmenting patient care, fostering innovation, and actively participating in the ever-evolving synergy between computer vision techniques in otorhinolaryngology and AI. To that end, we conducted a thorough search on MEDLINE for papers published until June 2023, utilizing the keywords ‘otorhinolaryngology’, ‘imaging’, ‘computer vision’, ‘artificial intelligence’, and ‘deep learning’, and at the same time conducted manual searching in the references section of the articles included in our manuscript. Our search culminated in the retrieval of 121 related articles, which were subsequently subdivided into the following categories: imaging in head and neck, otology, and rhinology. Our objective is to provide a comprehensive introduction to this burgeoning field, tailored for both experienced specialists and aspiring residents in the domain of deep learning algorithms in imaging techniques in otorhinolaryngology.

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Diagnostic and surgical innovations in otolaryngology for adult and paediatric patients during the COVID-19 era

Cited by 2 publications

References 79 publications

A Comprehensive Review on Biofilms in Otorhinolaryngology: Understanding the Pathogenesis, Diagnosis, and Treatment Strategies

A Comprehensive Review on Biofilms in Otorhinolaryngology: Understanding the Pathogenesis, Diagnosis, and Treatment Strategies

Deep Learning Techniques and Imaging in Otorhinolaryngology—A State-of-the-Art Review

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