These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
23. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review. Pucchio A; Krance SH; Pur DR; Bhatti J; Bassi A; Manichavagan K; Brahmbhatt S; Aggarwal I; Singh P; Virani A; Stanley M; Miranda RN; Felfeli T Graefes Arch Clin Exp Ophthalmol; 2024 Apr; 262(4):1041-1091. PubMed ID: 37421481 [TBL] [Abstract][Full Text] [Related]
24. Measuring and interpreting ocular blood flow and metabolism in glaucoma. Harris A; Kagemann L; Ehrlich R; Rospigliosi C; Moore D; Siesky B Can J Ophthalmol; 2008 Jun; 43(3):328-36. PubMed ID: 18443609 [TBL] [Abstract][Full Text] [Related]
25. Progress in measurement of ocular blood flow and relevance to our understanding of glaucoma and age-related macular degeneration. Harris A; Chung HS; Ciulla TA; Kagemann L Prog Retin Eye Res; 1999 Sep; 18(5):669-87. PubMed ID: 10438154 [TBL] [Abstract][Full Text] [Related]
26. Ultrasound Shear Wave Elastography for Liver Disease. A Critical Appraisal of the Many Actors on the Stage. Piscaglia F; Salvatore V; Mulazzani L; Cantisani V; Schiavone C Ultraschall Med; 2016 Feb; 37(1):1-5. PubMed ID: 26871407 [TBL] [Abstract][Full Text] [Related]
27. Current State of Knowledge in Ocular Blood Flow in Glaucoma: A Narrative Review. Alasbali T Clin Ophthalmol; 2023; 17():2599-2607. PubMed ID: 37671333 [TBL] [Abstract][Full Text] [Related]
32. Neurodegenerative Disorders of the Eye and of the Brain: A Perspective on Their Fluid-Dynamical Connections and the Potential of Mechanism-Driven Modeling. Guidoboni G; Sacco R; Szopos M; Sala L; Verticchio Vercellin AC; Siesky B; Harris A Front Neurosci; 2020; 14():566428. PubMed ID: 33281543 [TBL] [Abstract][Full Text] [Related]
33. Recording human electrocorticographic (ECoG) signals for neuroscientific research and real-time functional cortical mapping. Hill NJ; Gupta D; Brunner P; Gunduz A; Adamo MA; Ritaccio A; Schalk G J Vis Exp; 2012 Jun; (64):. PubMed ID: 22782131 [TBL] [Abstract][Full Text] [Related]
34. Practicing precision medicine with intelligently integrative clinical and multi-omics data analysis. Ahmed Z Hum Genomics; 2020 Oct; 14(1):35. PubMed ID: 33008459 [TBL] [Abstract][Full Text] [Related]
35. AI-integrated ocular imaging for predicting cardiovascular disease: advancements and future outlook. Huang Y; Cheung CY; Li D; Tham YC; Sheng B; Cheng CY; Wang YX; Wong TY Eye (Lond); 2024 Feb; 38(3):464-472. PubMed ID: 37709926 [TBL] [Abstract][Full Text] [Related]
36. Isolated preparations of ocular vasculature and their applications in ophthalmic research. Yu DY; Su EN; Cringle SJ; Yu PK Prog Retin Eye Res; 2003 Mar; 22(2):135-69. PubMed ID: 12604056 [TBL] [Abstract][Full Text] [Related]
37. Artificial Intelligence to Aid Glaucoma Diagnosis and Monitoring: State of the Art and New Directions. Nunez R; Harris A; Ibrahim O; Keller J; Wikle CK; Robinson E; Zukerman R; Siesky B; Verticchio A; Rowe L; Guidoboni G Photonics; 2022 Nov; 9(11):. PubMed ID: 36816462 [TBL] [Abstract][Full Text] [Related]
38. Advances in artificial intelligence applications for ocular surface diseases diagnosis. Ji Y; Liu S; Hong X; Lu Y; Wu X; Li K; Li K; Liu Y Front Cell Dev Biol; 2022; 10():1107689. PubMed ID: 36605721 [TBL] [Abstract][Full Text] [Related]
39. Artificial intelligence and deep learning in ophthalmology. Ting DSW; Pasquale LR; Peng L; Campbell JP; Lee AY; Raman R; Tan GSW; Schmetterer L; Keane PA; Wong TY Br J Ophthalmol; 2019 Feb; 103(2):167-175. PubMed ID: 30361278 [TBL] [Abstract][Full Text] [Related]