ZURICH–(BUSINESS WIRE)–Cataract, the clouding of the lens in the eye, affects over 50 million
people per year world-wide. The standard treatment consists of
implanting an artificial intraocular lens (IOL). Ophthalmic surgeons
currently rely on subjective patient interviews when selecting the power
and type of the IOL, which can lead to unsatisfactory patient outcomes
if this choice is not accurate or appropriate.
A novel wearable system collects daily activity data from patients,
processes these data in the cloud and analyses patient’s lifestyle
patterns using machine-learning algorithms. This combination of data
enables surgeons to offer optimal personalized solutions to their
patients leading to active patient engagement and increased patient
According to Arthur Cumming MD, eye surgeon at the Wellington Eye Clinic
and former President of the American European Congress of Ophthalmic
Surgery, “we will look back in 5 years’ time and wonder how we ever
managed to treat patients without objective data”.
Vance Thompson MD, Professor of Ophthalmology at the Sanford School of
Medicine, Sioux Falls, South Dakota, USA, adds “I want to use the system
every day to help educate patients on how they use their vision.
Understanding the exact distances and how much time spent at each
distance will help them choose the best premium implant for their life
long vision decision.”
Vivior has recently closed an investment round with private investors
from Europe and the US. With multiple million USD raised, it will
finalize the currently running clinical study to assess the usability of
their system and measure market acceptance. Based on these results,
Vivior will register the system in Europe and the US to make it
available to clinics, surgeons and patients.
Vivior is a Swiss digital health start-up founded in 2017 by a group of
experienced eye care professionals. Its ground-breaking combination of a
wearable device and machine-learning algorithms allows it to track the
visual needs of patients in their daily life. The data is analyzed in
the cloud and made available to health care professionals to better
understand patients’ needs.
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