Latest AI and machine learning research in otolaryngology for healthcare professionals.
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel remote access technique for hemithyroidectomy. We report our experience with this remote access technique using a single incision in the retroauricular crease and occipital hairline incision. For the first time, we show additional neck-lift surgery performed concomitantly to achieve better cosmetic...
Background: Computer vision-enabled airway workflows can turn airway video into timestamped model-observation fields, but later blinded review and training studies require source-video linkage, run identifiers, quality-control status, and app/model provenance. Objective: To audit whether a public post-reconciliation 30-run manikin evidence package from a computer vision-enabled video laryngoscopy ...
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...
Recording the open surgery process is essential for educational and medical evaluation purposes; however, traditional single-camera methods often fa...
The current study aimed to evaluate the application value of the domestic otolaryngology-specific flexible-arm robotic system in the resection of thro...
Image assessment aims to evaluate the quality and aesthetics of images and has been applied across various scenarios, such as natural and AIGC scene...
Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful postoperative care for successful recovery. Howeve...
We aim to assist image-based myopia screening by resolving two longstanding problems, "how to integrate the information of ocular images of a pair o...
Various healthcare applications based on large language models (LLMs) have emerged as LLMs show improved efficiency and error reduction. Recently, ret...
Chatbots powered by large language models (LLMs) have recently emerged as prominent sources of information. However, their ability to propagate misinf...