Daniel M. Romero on Muck Rack

Daniel M. Romero

Ann Arbor
As seen in: AIChE Journal, Color Research & Application, Nature, MDPI, Science Magazine, Dove Medical Press, Journal of Refractive Surgery, TV Technology, American Journal of Ophthalmology, OCT News
Associate Professor @UMSI, @UMICHCS, @UMichCSE working on Computational Social Science, Network Science, Complex Systems, and Social Media. 🇨🇴🇺🇸
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Articles

The impact of generative AI on social media: an experimental study - Scientific Reports

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By Daniel M. Romero, David Jurgens, Luca Maria Aiello, Anders Giovanni Møller
| Nature Verified
Abstract Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platforms, yet their implications for user behavior and experience remain understudied, particularly regarding two critical dimensions: (1) how AI tools affect the behaviors of content producers in a social media context, and (2) how content generated with AI assistance is perceived by users.
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Evaluation of Crystalline Lens Equatorial Plane: A Novel SS-OCT Biometry Parameter For Predicting Postoperative Intraocular Lens Position

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By Daniel M. Romero, David L. Cooke, Jorge L. Alió, VISSUM Ophthalmological Institut
| American Journal of Ophthalmology Verified
Get full text access Log in, subscribe or purchase for full access. References 1. Cooke, D.L. ∙ Cooke, T.L. Comparison of 9 intraocular lens power calculation formulas J Cataract Refract Surg. 2016; 42:1157-1164 2. Melles, R.B. ∙ Holladay, J.T. ∙ Chang, W.J. Accuracy of intraocular lens calculation formulas Ophthalmology. 2018; 125:169-178 3. Kane, J.X. ∙ van Heerden, A. ∙ Atik, A. ... Intraocular lens power formula accuracy: comparison of 7 formulas J Cataract Refract Surg. 2016; 42:1490-1500 4. Darcy, K.
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José Juan Martínez-Toldos

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By Daniel M. Romero, Antonio Palazón-Bru, José Juan Martínez-Toldos, Aída Navarro-Navarro
| OCT News
November 21, 2015 | Ophthalmology | Topcon Medical Systems No studies have yet evaluated jointly central foveal thickness (CFT) and the presence of intraretinal fluid (PIF) to diagnose diabetic macular oedema (DMO) using optic coherence tomography (OCT). We performed a cross-sectional observational study to validate OCT for the diagnosis of DMO using both CFT and PIF assessed by OCT (3D OCT-1 Maestro).
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