Corneal Specialists' Confidence in Identifying Causal Organisms of Microbial Keratitis
Conclusion: In almost half of MK cases, cornea specialists reported lack of confidence in identifying the infection type. Confidence was related to ocular history and circumstances of infection but not by observable signs and symptoms or patient demographics. Tools are needed to assist clinicians with early diagnosis of MK infection type to expedite care and healing.PMID:38078664 | DOI:10.1080/02713683.2023.2288803 (Source: Current Eye Research)
Source: Current Eye Research - December 11, 2023 Category: Opthalmology Authors: Eric Sherman Leslie M Niziol Alan Sugar Mercy Pawar Keith D Miller Alexa Thibodeau Linda Kang Maria A Woodward AQUA Research Group Source Type: research
Investigation of Mitochondrial Homeostasis Changes in Lens Epithelium of High-Myopic Cataract
CONCLUSION: This study has identified for the first time the abnormal mitochondrial homeostasis in HMC, and provide a new perspective on the potential mechanisms of HMC, which occurs earlier and at a higher incidence rate than ARC.PMID:38078672 | DOI:10.1080/02713683.2023.2276679 (Source: Current Eye Research)
Source: Current Eye Research - December 11, 2023 Category: Opthalmology Authors: Chenghao Sun Pengfei Li Guowei Zhang Wenjing Geng Congyu Wang Sijie Bao Xi Liu Min Ji Huaijin Guan Source Type: research
HPLC-LED-Induced Fluorescence Analysis of Tear Fluids: An Objective Method for Primary Open Angle Glaucoma Diagnosis
CONCLUSION: The results of the study revealed that the utilization of a 278 nm LED excitation in the HPLC system offers good sensitivity for detecting proteins at low concentrations allowing to obtain reliable protein profiles for the diagnosis of POAG.PMID:38078692 | DOI:10.1080/02713683.2023.2289862 (Source: Current Eye Research)
Source: Current Eye Research - December 11, 2023 Category: Opthalmology Authors: Sphurti S Adigal Neetha I R Kuzhuppilly Nagaraj Hegde Nidheesh V R Alisha Rizvi Reena V John Sajan D George Vasudevan B Kartha Sulatha V Bhandary Santhosh Chidangil Source Type: research
Reviewer Summary for Current Eye Research
Curr Eye Res. 2023 Nov 30:1-10. doi: 10.1080/02713683.2023.2287280. Online ahead of print.NO ABSTRACTPMID:38031878 | DOI:10.1080/02713683.2023.2287280 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Source Type: research
Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms
CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research
Reviewer Summary for Current Eye Research
Curr Eye Res. 2023 Nov 30:1-10. doi: 10.1080/02713683.2023.2287280. Online ahead of print.NO ABSTRACTPMID:38031878 | DOI:10.1080/02713683.2023.2287280 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Source Type: research
Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms
CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research
Reviewer Summary for Current Eye Research
Curr Eye Res. 2023 Nov 30:1-10. doi: 10.1080/02713683.2023.2287280. Online ahead of print.NO ABSTRACTPMID:38031878 | DOI:10.1080/02713683.2023.2287280 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Source Type: research
Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms
CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research
Reviewer Summary for Current Eye Research
Curr Eye Res. 2023 Nov 30:1-10. doi: 10.1080/02713683.2023.2287280. Online ahead of print.NO ABSTRACTPMID:38031878 | DOI:10.1080/02713683.2023.2287280 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Source Type: research
Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms
CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research
Reviewer Summary for Current Eye Research
Curr Eye Res. 2023 Nov 30:1-10. doi: 10.1080/02713683.2023.2287280. Online ahead of print.NO ABSTRACTPMID:38031878 | DOI:10.1080/02713683.2023.2287280 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Source Type: research
Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms
CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research
Reviewer Summary for Current Eye Research
Curr Eye Res. 2023 Nov 30:1-10. doi: 10.1080/02713683.2023.2287280. Online ahead of print.NO ABSTRACTPMID:38031878 | DOI:10.1080/02713683.2023.2287280 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Source Type: research
Optimizing Refractive Outcomes of SMILE: Artificial Intelligence versus Conventional State-of-the-Art Nomograms
CONCLUSION: Machine learning endorsed the validity of state-of-the-art linear and non-linear SMILE nomograms. However, improving the accuracy of subjective manifest refraction seems warranted for optimizing ±0.50 D SE predictability beyond an apparent methodological 90% limit.PMID:38032001 | DOI:10.1080/02713683.2023.2282938 (Source: Current Eye Research)
Source: Current Eye Research - November 30, 2023 Category: Opthalmology Authors: Nikolaus Luft Niklas Mohr Elmar Spiegel Hannah Marchi Jakob Siedlecki Lisa Harrant Wolfgang J Mayer Martin Dirisamer Siegfried G Priglinger Source Type: research
