ARTIFICIAL INTELLIGENCE APPLICATIONS IN GYNECOLOGY: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES AND CLINICAL IMPLICATIONS

Through a review of current literature and clinical practices, this study demonstrates how interdisciplinary collaboration leads to earlier detection, more accurate diagnoses, and improved treatment outcomes in a variety of ENT conditions including chronic rhinosinusitis, otitis media, head and neck tumors, obstructive sleep apnea, and voice disorders. Despite notable benefits, barriers such as communication gaps, resource limitations, and institutional inertia remain challenges. This paper underscores the importance of fostering integrative healthcare ecosystems that facilitate interdisciplinary collaboration for optimal patient-centered care in otorhinolaryngology.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-07
DOI
https://doi.org/10.5281/zenodo.15612791
Primary Topic
Sinusitis and nasal conditions
Type
article
Field-Weighted Citation Impact
0.00
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article

ARTIFICIAL INTELLIGENCE APPLICATIONS IN GYNECOLOGY: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES AND CLINICAL IMPLICATIONS

Zenodo (CERN European Organization for Nuclear Research)
Sinusitis and nasal conditions
article

ARTIFICIAL INTELLIGENCE APPLICATIONS IN GYNECOLOGY: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES AND CLINICAL IMPLICATIONS

article en

Abstract

Through a review of current literature and clinical practices, this study demonstrates how interdisciplinary collaboration leads to earlier detection, more accurate diagnoses, and improved treatment outcomes in a variety of ENT conditions including chronic rhinosinusitis, otitis media, head and neck tumors, obstructive sleep apnea, and voice disorders. Despite notable benefits, barriers such as communication gaps, resource limitations, and institutional inertia remain challenges. This paper underscores the importance of fostering integrative healthcare ecosystems that facilitate interdisciplinary collaboration for optimal patient-centered care in otorhinolaryngology.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 38%
Sinusitis and nasal conditions
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