Latest AI and machine learning research in otolaryngology for healthcare professionals.
OBJECTIVE: Assess the use and potential benefits of a new robotic system for transoral radical tonsillectomy, transoral supraglottic laryngectomy, and retroauricular thyroidectomy in a cadaver dissection.
OBJECTIVE: To conduct a meta-analysis to compare the short-term outcomes of robotic thyroidectomy and conventional open thyroidectomy for differentiated thyroid cancer.
Robot-assisted transaxillary thyroid surgery avoids the need for a neck incision. It consists of thyroid lobectomy and isthmectomy for moderately larg...
BACKGROUND: Although many experiences using the da Vinci Robot System have been reported by several groups, there is substantial controversy over the ...
PURPOSE: Percutaneous tunneling (hydrodissection) in the neck and anterior chest in patients undergoing robotic thyroidectomy leads to significant hem...
OBJECTIVES/HYPOTHESIS: Despite immense interest, robotic-assisted thyroidectomy (RT) remains controversial in differentiated thyroid carcinoma (DTC). ...
OBJECTIVES/HYPOTHESIS: New approaches for robotic-assisted thyroidectomy, including the retroauricular approach, were recently described. We have modi...
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel remote access technique for hemithyroidectomy. We...
Background: Large language models (LLMs) have shown increasing capability in medical knowledge tasks, yet how they perform in extracting structured cl...
Background: Computer vision-enabled airway workflows can turn airway video into timestamped model-observation fields, but later blinded review and tra...
Temporal stability in glottic opening localization remains challenging due to the complementary weaknesses of single-frame detectors and foundation-mo...
OBJECTIVE: To compare the performance of Google Bard, Microsoft Copilot, GPT-4 with vision (GPT-4) and Gemini Ultra on the OTO Chautauqua, a student-c...
BACKGROUND: Artificial Intelligence (AI) and machine learning (ML) have transformative potential in enhancing diagnostics, treatment planning, and pat...
Surgical training remains a crucial milestone in modern medicine, with procedures such as laminectomy exemplifying the high risks involved. Laminect...
OBJECTIVE: Artificial intelligence (AI) text-to-image generators have a propensity to reflect stereotypes. This study investigates the perception of r...
PURPOSE: To evaluate the diagnostic accuracy, appropriateness of additional examination recommendations, and consistency of therapeutic regimens by Ch...
OBJECTIVE: To evaluate the accuracy and completeness of large language models (LLMs) in interpreting pediatric otolaryngology guidelines.
Bilingual Lexicon Induction (BLI) is generally based on common domain data to obtain monolingual word embedding, and by aligning the monolingual wor...
Clinical validation studies are important to translate artificial intelligence (AI) technology in healthcare but may be underperformed in Otolaryngolo...
BACKGROUND: To evaluate the performance of two AI systems, ChatGPT 4.0 and Algor, in generating concept maps from validated otolaryngology clinical pr...