Artificial Intelligence in Rhinology
NF Ayoub, JT Glicksman - Otolaryngologic Clinics of North …, 2024 - oto.theclinics.com
Rhinologic conditions remain some of the most prevalent of all disorders. Over 12% of the
US population is diagnosed with sinusitis each year, 1 and up to 60% of the world's …
US population is diagnosed with sinusitis each year, 1 and up to 60% of the world's …
Evaluating the accuracy of ChatGPT addressing urological questions: A pilot study
S Sagir - Journal of Clinical Trials and Experimental …, 2022 - jctei.com
Objective: This research aimed to assess the accuracy of the ChatGPT 3.5 model in
providing information related to various urological diseases. Materials and methods: One …
providing information related to various urological diseases. Materials and methods: One …
A Product Classification Recognition Model Based on Correlation Analysis and a Combination of Multiple Machine Learning Classification Algorithms
Q Feng, X Huang, T Qu - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This article mainly studies the relationship between the composition and weathering of
ancient glass products of different types, patterns and colors. Firstly, the data were …
ancient glass products of different types, patterns and colors. Firstly, the data were …