Expert-Level Detection of Referable Glaucoma from Fundus Photographs in a Safety Net Population: The AI and Teleophthalmology in Los Angeles Initiative.

Autor: Nguyen V, Iyengar S, Rasheed H, Apolo G, Li Z, Kumar A, Nguyen H, Bohner A, Dhodapkar R, Do J, Duong A, Gluckstein J, Hong K, Humayun L, James A, Lee J, Nguyen K, Wong B, Ambite JL, Kesselman C, Daskivich L, Pazzani M, Xu BY

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2024 Aug 26. Date of Electronic Publication: 2024 Aug 26.

Detecting Glaucoma from Fundus Photographs Using Deep Learning without Convolutions: Transformer for Improved Generalization.

Autor: Fan R; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California.; Department of Computer Science and Engineering, University of California San Diego, La Jolla, California.; Department of Control Science and Engineering, Tongji University, Shanghai 201804, China., Alipour K; Department of Computer Science and Engineering, University of California San Diego, La Jolla, California., Bowd C; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Christopher M; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Brye N; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Proudfoot JA; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Goldbaum MH; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Belghith A; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Girkin CA; Department of Ophthalmology, School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama., Fazio MA; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California.; Department of Ophthalmology, School of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama.; Department of Biomedical Engineering, School of Engineering, The University of Alabama at Birmingham, Birmingham, Alabama., Liebmann JM; Bernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Columbia University Medical Center, New York, New York., Weinreb RN; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California., Pazzani M; Department of Computer Science and Engineering, University of California San Diego, La Jolla, California., Kriegman D; Department of Computer Science and Engineering, University of California San Diego, La Jolla, California., Zangwill LM; Hamilton Glaucoma Center, Viterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California.

Publikováno v: Ophthalmology science [Ophthalmol Sci] 2022 Oct 19; Vol. 3 (1), pp. 100233. Date of Electronic Publication: 2022 Oct 19 (Print Publication: 2023).

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Novel metrics for tracking blood pressure changes incontinuous cuffless blood pressure estimations.

Autor: He, Shan¹ (AUTHOR) she014@uottawa.ca, Bolić, Miodrag¹ (AUTHOR)

Publikováno v: Scientific Reports. 11/11/2024, Vol. 14 Issue 1, p1-14. 14p.

Predicting pharmaceutical supply chain disruptions before and during the COVID-19 pandemic.

Autor: Hupman AC; Supply Chain & Analytics Department, University of Missouri-St. Louis, St. Louis, Missouri, USA., Zhang J; Marketing and Supply Chain Management, University of Wisconsin-Eau Claire, Eau Claire, Wisconsin, USA., Li H; Supply Chain & Analytics Department, University of Missouri-St. Louis, St. Louis, Missouri, USA.

Publikováno v: Risk analysis : an official publication of the Society for Risk Analysis [Risk Anal] 2024 Dec; Vol. 44 (12), pp. 2797-2811. Date of Electronic Publication: 2024 Aug 30.