AIMC Topic: Otolaryngology

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Medical data science in rhinology: Background and implications for clinicians.

American journal of otolaryngology Jul 2, 2020
BACKGROUND: An important challenge of big data is using complex information networks to provide useful clinical information. Recently, machine learning, and particularly deep learning, has enabled rapid advances in clinical practice. The application ...
Cluster Analysis Rhinitis Machine Learning Deep Learning Decision Making, Computer-Assisted Otolaryngologists Practice Patterns, Physicians' Otolaryngology Humans Neural Networks, Computer Artificial Intelligence
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Artificial Intelligence Applications in Otology: A State of the Art Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jun 9, 2020
OBJECTIVE: Recent advances in artificial intelligence (AI) are driving innovative new health care solutions. We aim to review the state of the art of AI in otology and provide a discussion of work underway, current limitations, and future directions.
Otolaryngology Humans Artificial Intelligence Forecasting
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Ethical Considerations in the Advent of Artificial Intelligence in Otolaryngology.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Nov 26, 2019
Artificial intelligence (AI) is quickly expanding within the sphere of health care, offering the potential to enhance the efficiency of care delivery, diminish costs, and reduce diagnostic and therapeutic errors. As the field of otolaryngology also e...
Humans United States Otolaryngology Artificial Intelligence Delivery of Health Care Professional Autonomy
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Otoscopic diagnosis using computer vision: An automated machine learning approach.

The Laryngoscope Sep 18, 2019
OBJECTIVE: Access to otolaryngology is limited by lengthy wait lists and lack of specialists, especially in rural and remote areas. The objective of this study was to use an automated machine learning approach to build a computer vision algorithm for...
Otoscopy Ear Diseases Otolaryngology Artificial Intelligence Machine Learning Algorithms Diagnosis, Computer-Assisted Humans
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The potential for machine learning to improve precision medicine in cochlear implantation.

Cochlear implants international Jun 18, 2019
Otolaryngology Precision Medicine Cochlear Implantation Humans Machine Learning
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Artificial Intelligence for the Otolaryngologist: A State of the Art Review.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Feb 5, 2019
OBJECTIVE: To provide a state of the art review of artificial intelligence (AI), including its subfields of machine learning and natural language processing, as it applies to otolaryngology and to discuss current applications, future impact, and limi...
Humans Otolaryngology Artificial Intelligence
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A contemporary review of machine learning in otolaryngology-head and neck surgery.

The Laryngoscope Feb 1, 2019
One of the key challenges with big data is leveraging the complex network of information to yield useful clinical insights. The confluence of massive amounts of health data and a desire to make inferences and insights on these data has produced a sub...
Otolaryngology Otorhinolaryngologic Diseases Machine Learning Big Data Humans
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Using Technology in Global Otolaryngology.

Otolaryngologic clinics of North America Feb 19, 2018
Technology is integral to the diverse diagnostics and interventions of Otolaryngology. Historically, major advances in this field derive from advances of associated technologies. Challenges of visualization and surgical access are increasingly overco...
Otolaryngology Otorhinolaryngologic Diseases Humans Telemedicine Biomedical Technology Global Health Robotics
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Artificial intelligence in pediatric otolaryngology: A state-of-the-art review of opportunities and pitfalls.

International journal of pediatric otorhinolaryngology Jul 1, 2025
BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in enhancing diagnostics, treatment planning, and patient management. However, their application in pediatric otolaryngology remains limited as the uniqu...
Pediatrics Machine Learning Humans Otolaryngology Child Artificial Intelligence
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Comparative Analysis of Information Quality in Pediatric Otorhinolaryngology: Clinicians, Residents, and Large Language Models.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jul 1, 2025
OBJECTIVE: Pediatric otorhinolaryngology (ORL) addresses complex conditions in children, requiring a tailored approach for patients and families. With artificial intelligence (AI) gaining traction in medical applications, this study evaluates the qua...
Data Accuracy Pediatrics Language Otolaryngology Internship and Residency Humans Child Large Language Models Artificial Intelligence
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