New and Future Technology in Corneal Topography

1995 ◽  
Vol 7 (6) ◽  
pp. 371-385 ◽  
Author(s):  
Melanie C. Corbett ◽  
John Marshall ◽  
David P.S. O'Brart ◽  
Emanuel S. Rosen
The Eye ◽  
2020 ◽  
Vol 22 (130) ◽  
pp. 36-43
Author(s):  
Gulnara Andrienko

Corneal topography is the main method for assessing the regularity of the surface of the cornea. Corneal irregularity leads to a deterioration in its refractive properties and a decrease in the quality of vision. Learning the basics of corneal topography will help determine the choice of a color map for a specific situation, as well as understand and analyze the data associated with these maps. This article describes the main types of topographic maps, various patterns of corneal shape in normal and pathological conditions and how to use the data obtained to design and fit contact lenses. Despite the fact that images may vary depending on topographers used, the information presented in this article is universal.


2020 ◽  
Author(s):  
Muhammad Jee ◽  
Alsa Khan

BACKGROUND Understanding teens' relationship with technology is a pressing topic in this digital era. There seem to be both benefit and harmful implications that originate from use of technology by teens. Approximately 95% of teenagers have access to a smartphone, and several studies show a positive correlation between screen addiction and trends of Anxiety and Depression. While, at the same time, research shows that two-thirds of teenagers believe that technology is a necessity for connecting and making new friends. OBJECTIVE The aim of this research is to understand teens’ perceptions of their own and others’ relationship with personal technology and what future relationships do teens aspire to have with their technology. This will be fundamental in helping designers, healthcare practitioners and youth counselors inform design in technology accordingly. METHODS This research paper explores teens and technology relationship via three lenses. Lens-1 is teens' perception of their current relationship with their personal technology as users. Lens-2 is teens' perception of others' (parents, siblings or friends) relationship with personal technology as bystanders. Lens-3 is teens’ aspiration of how they wish to relate to their personal technology. We conducted an online survey with 619 teens in the 13-19 years age range. RESULTS We found that teens selected 'Essential,' 'Distractive,' and 'Addictive' most commonly to describe their own and others' relationship with personal technology. Whereas teens selected 'Provides an escape' more to describe their own relationship with technology. In contrast, they selected 'It's just a tool' and 'Creates Barrier' more to describe others' relationship with technology. These trends are consistent across ages and genders. Additionally, we found that 13-15 year-olds, particularly the majority of females in this age range, wish to see their future technology as their 'best friend.' However, 16-17 year-olds’ top choice was 'I don't believe in personal connection with mobile technology,’ and 18-19 year-olds’ top choice was 'My personal assistant.’ CONCLUSIONS Our three lenses approach is holistic as it allowed comparison of how teens perceive their relationship with personal technology as users vs. bystanders and from current vs. aspirational perspectives. This research not just confirms what is already known, but uncovers critical new associations more exclusive to teens' own relationship with technology. This paper presents related design implications to inform personal tech design thinking, including our guideline to shift 'user experience design' process to 'user relationship design.'


1973 ◽  
Vol 56 (11) ◽  
pp. 399-413
Author(s):  
B. A. J. CLARK
Keyword(s):  

Optik ◽  
2010 ◽  
Vol 121 (24) ◽  
pp. 2269-2272
Author(s):  
Gloria Rueda ◽  
Javier Alda ◽  
Eusebio Bernabeu

2020 ◽  
Vol 6 ◽  
pp. 205520762096835
Author(s):  
C Blease ◽  
C Locher ◽  
M Leon-Carlyle ◽  
M Doraiswamy

Background The potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics. Objective This study aimed to explore psychiatrists’ opinions about the potential impact innovations in artificial intelligence and machine learning on psychiatric practice Methods In Spring 2019, we conducted a web-based survey of 791 psychiatrists from 22 countries worldwide. The survey measured opinions about the likelihood future technology would fully replace physicians in performing ten key psychiatric tasks. This study involved qualitative descriptive analysis of written responses (“comments”) to three open-ended questions in the survey. Results Comments were classified into four major categories in relation to the impact of future technology on: (1) patient-psychiatrist interactions; (2) the quality of patient medical care; (3) the profession of psychiatry; and (4) health systems. Overwhelmingly, psychiatrists were skeptical that technology could replace human empathy. Many predicted that ‘man and machine’ would increasingly collaborate in undertaking clinical decisions, with mixed opinions about the benefits and harms of such an arrangement. Participants were optimistic that technology might improve efficiencies and access to care, and reduce costs. Ethical and regulatory considerations received limited attention. Conclusions This study presents timely information on psychiatrists’ views about the scope of artificial intelligence and machine learning on psychiatric practice. Psychiatrists expressed divergent views about the value and impact of future technology with worrying omissions about practice guidelines, and ethical and regulatory issues.


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