Zobrazeno 1 - 10
of 940
pro vyhledávání: '"Malik, Y. A."'
Autor:
Madadi, Yeganeh, Delsoz, Mohammad, Lao, Priscilla A., Fong, Joseph W., Hollingsworth, TJ, Kahook, Malik Y., Yousefi, Siamak
Objective: To evaluate the efficiency of large language models (LLMs) such as ChatGPT to assist in diagnosing neuro-ophthalmic diseases based on detailed case descriptions. Methods: We selected 22 different case reports of neuro-ophthalmic diseases f
Externí odkaz:
http://arxiv.org/abs/2309.12361
Autor:
Hina Raja, PhD, Xiaoqin Huang, PhD, Mohammad Delsoz, MD, Yeganeh Madadi, PhD, Asma Poursoroush, PhD, Asim Munawar, PhD, Malik Y. Kahook, MD, Siamak Yousefi, PhD
Publikováno v:
Ophthalmology Science, Vol 5, Iss 1, Pp 100599- (2025)
Purpose: To evaluate the capabilities of Chat Generative Pre-Trained Transformer (ChatGPT), as a large language model (LLM), for diagnosing glaucoma using the Ocular Hypertension Treatment Study (OHTS) dataset, and comparing the diagnostic capability
Externí odkaz:
https://doaj.org/article/58173af703d94cf7b5987a89bd257e86
Autor:
Raja, Hina, Huang, Xiaoqin, Delsoz, Mohammad, Madadi, Yeganeh, Poursoroush, Asma, Munawar, Asim, Kahook, Malik Y., Yousefi, Siamak
Publikováno v:
In Ophthalmology Science January-February 2025 5(1)
Autor:
Kahook, Malik Y., Rapuano, Christopher J., Messmer, Elisabeth M., Radcliffe, Nathan M., Galor, Anat, Baudouin, Christophe
Publikováno v:
In The Ocular Surface October 2024 34:213-224
Autor:
Huang, Xiaoqin, Raja, Hina, Madadi, Yeganeh, Delsoz, Mohammad, Poursoroush, Asma, Kahook, Malik Y., Yousefi, Siamak
Publikováno v:
In American Journal of Ophthalmology October 2024 266:289-299
Publikováno v:
Frontiers in Ophthalmology, Vol 4 (2024)
OverviewThis study evaluates the diagnostic accuracy of a multimodal large language model (LLM), ChatGPT-4, in recognizing glaucoma using color fundus photographs (CFPs) with a benchmark dataset and without prior training or fine tuning.MethodsThe pu
Externí odkaz:
https://doaj.org/article/2e3aae260ed44868a16a488c15c59485
Autor:
Mohammad Delsoz, Hina Raja, Yeganeh Madadi, Anthony A. Tang, Barbara M. Wirostko, Malik Y. Kahook, Siamak Yousefi
Publikováno v:
Ophthalmology and Therapy, Vol 13, Iss 6, Pp 1817-1819 (2024)
Externí odkaz:
https://doaj.org/article/d8feb1008b7140beb3cbf7b441859b4a
Autor:
Mohammad Delsoz, Hina Raja, Yeganeh Madadi, Anthony A. Tang, Barbara M. Wirostko, Malik Y. Kahook, Siamak Yousefi
Publikováno v:
Ophthalmology and Therapy, Vol 12, Iss 6, Pp 3121-3132 (2023)
Abstract Introduction The purpose of this study was to evaluate the capabilities of large language models such as Chat Generative Pretrained Transformer (ChatGPT) to diagnose glaucoma based on specific clinical case descriptions with comparison to th
Externí odkaz:
https://doaj.org/article/9f359d3e4a1b40268438c90ca9044b85
Autor:
Veturi, Yoga Advaith, McNamara, Stephen Michael, Kinder, Scott, Clark, Christopher William, Thakuria, Upasana, Bearce, Benjamin, Manoharan, Niranjan, Mandava, Naresh, Kahook, Malik Y., Singh, Praveer, Kalpathy-Cramer, Jayashree
Publikováno v:
In Ophthalmology Science November 2024
Publikováno v:
International Journal of Ophthalmology, Vol 15, Iss 12, Pp 2022-2027 (2022)
AIM: To compare intraocular pressure (IOP) readings obtained with Perkins tonometry, iCare Home, iCare 200, and Tonopen to IOP readings obtained with the manometer of a perfusion system to assess the accuracy and reproducibility of each method of ton
Externí odkaz:
https://doaj.org/article/a0b66ad0bc3c4ec6b888230d01488b6e