AIMC Topic: Eye
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[Construction of an interpretable machine learning-based prediction model for the clinical effect on ischemic stroke in treatment with eye acupuncture combined with rehabilitation therapy].
Zhongguo zhen jiu = Chinese acupuncture & moxibustion
May 12, 2025
OBJECTIVE: To construct a prediction model for the clinical effect of eye acupuncture combined with rehabilitation therapy on ischemic stroke based on interpretable machine learning.
This AI learnt language by seeing the world through a baby's eyes.
Nature
Feb 1, 2024
Visual analysis of autoimmune dry eye studies based on bibliometrics.
Medicine
Nov 24, 2023
BACKGROUND: Dry eye is a chronic ocular surface disease caused by the instability of tear film or the imbalance of the ocular surface microenvironment which can lead to a diverse range of ocular discomfort symptoms. At present, the relevant mechanism...
Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning.
Translational vision science & technology
Nov 1, 2023
PURPOSE: Predict central 10° global and local visual field (VF) measurements from macular optical coherence tomography (OCT) volume scans with deep learning (DL).
Evaluation and Comparison of Ophthalmic Scientific Abstracts and References by Current Artificial Intelligence Chatbots.
JAMA ophthalmology
Sep 1, 2023
IMPORTANCE: Language-learning model-based artificial intelligence (AI) chatbots are growing in popularity and have significant implications for both patient education and academia. Drawbacks of using AI chatbots in generating scientific abstracts and...
Performance of an Upgraded Artificial Intelligence Chatbot for Ophthalmic Knowledge Assessment.
JAMA ophthalmology
Aug 1, 2023
What Artificial Intelligence Chatbots Mean for Editors, Authors, and Readers of Peer-Reviewed Ophthalmic Literature.
JAMA ophthalmology
Jun 1, 2023
Impact of Incomplete Blinking Analyzed Using a Deep Learning Model With the Keratograph 5M in Dry Eye Disease.
Translational vision science & technology
Mar 2, 2022
PURPOSE: To establish a deep learning model (DLM) for blink analysis, and investigate whether blink video frame sampling rate influences the accuracy of analysis.
Real-world validation of artificial intelligence algorithms for ophthalmic imaging.
The Lancet. Digital health
Aug 1, 2021
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