ReviewBiomedical reports2024
Applications and challenges of neural networks in otolaryngology (Review).
Review in Biomedical reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Deep Learning-Based Detection of Malignant and Equivocal Cervical Lymph Nodes on CT Imaging Using a 2D U-Net++ Model.Maedica · 2026Article
- Enhancing Approaches to Detect Papilloma-Associated Hyperostosis Using a Few-Shot Transfer Learning Framework in Extremely Scarce Radiological Datasets.Diagnostics (Basel, Switzerland) · 2026Article
- A transformer-based multi-modal fusion framework for laryngeal lesion classification using contact endoscopy.Frontiers in surgery · 2026Article
- Utility and Challenges of Imaging in Peripheral Vestibular Disorder Diagnosis: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Correlation Between Vitamin D Deficiency (25(OH)D3) and the Severity of Purulent Oropharyngeal Infections.Journal of clinical medicine · 2025Article
- Preventing Recurrent Otitis Media in Children Aged 2-7 Years: A Cross-Sectional Evaluation of Serum Vitamin D as a Modifiable Factor.Diagnostics (Basel, Switzerland) · 2025Article
- The Current Status of Virtual Autopsy Using Combined Imaging Modalities: A Scoping Review.Journal of clinical medicine · 2025Review
- Normative Values of Rhinology Questionnaires in Young Adults: A Tool to Identify Candidates for Rhinoplasty.Life (Basel, Switzerland) · 2025Article
- Article
- La-related protein 1 drives malignant progression and epithelial-mesenchymal transition in anaplastic thyroid carcinoma.American journal of cancer research · 2025Article
- Diagnosis of Bone Metastasis due to Medullary Thyroid Cancer WithClinical case reports · 2024Article
- Article
- A Natural Approach to the Prevention and Treatment of Gingivitis and Periodontitis: A Review of Pomegranate's Bioactive Properties.Life (Basel, Switzerland) · 2024Review
- The Role of Risk Factors for the Progression of Patients with T1b-T2 Papillary Thyroid Carcinoma (PC) during Long-Term Follow-Up.Journal of clinical medicine · 2024Article
- Molecular Profile as an Outcome Predictor in Glioblastoma along with MRI Features and Surgical Resection: A Scoping Review.International journal of molecular sciences · 2024Article
- Article
- Esophageal Dysmotility in Multiple System Atrophy: A Retrospective Cross-Sectional Study.Journal of clinical medicine · 2024Article
- Perspectives in Using Multiple Flaps Reconstructions for Advanced Head and Neck Tumors (Scoping Review).Medicina (Kaunas, Lithuania) · 2024Article
- Cell-free DNA analysis for recurrent respiratory papillomatosis: A case report.Clinical case reports · 2024Article
- Suppurative Cervicomediastinitis From the Perspective of the Head and Neck Surgeon in a Tertiary Treatment Unit.Cureus · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) has become a topic of interest that is frequently debated in all research fields. The medical field is no exception, where several unanswered questions remain. When and how this field can benefit from AI support in daily routines are the most frequently asked questions. The present review aims to present the types of neural networks (NNs) available for development, discussing their advantages, disadvantages and how they can be applied practically. In addition, the present review summarizes how NNs (combined with various other features) have already been applied in studies in the ear nose throat research field, from assisting diagnosis to treatment management. Although the answer to this question regarding AI remains elusive, understanding the basics and types of applicable NNs can lead to future studies possibly using more than one type of NN. This approach may bypass the actual limitations in accuracy and relevance of information generated by AI. The proposed studies, the majority of which used convolutional NNs, obtained accuracies varying 70-98%, with a number of studies having the AI trained on a limited number of cases (<100 patients). The lack of standardization in AI protocols for research negatively affects data homogeneity and transparency of databases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.