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Optics-MISS SIGNED

Optical Real-Time Anatomical Tracking- Minimally Invasive Spine Surgery

Total Cost €

0

EC-Contrib. €

0

Partnership

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 Optics-MISS project word cloud

Explore the words cloud of the Optics-MISS project. It provides you a very rough idea of what is the project "Optics-MISS" about.

guidance    track    navigation    clinical    camera    tracks    market    algorithms    registration    tool    surgical    keep    gps    unmet    accuracy    computer    location    company    vessels    standard    movement    3d    miniature    opening    registered    first    correction    spine    device    blood    minimally    smaller    automatically    safety    navigate    miss    stage    millimeters    driving    tools    health    harm    map    good    anatomical    tissues    exact    retractor    surgeon    cervical    machine    patients    functioning    uses    surgery    ai    exactly    surgeries    innovative    once    vision    anatomy    complications    incisions    cord    deep    difference    ct    attached    outcome    invasive    create    critical    scans    removal    cameras    muscles    patient    preoperative    nearby    operation    guided    mis    spinal    solution    see    relative    safer    tumor    image    tracking    match    medical    damaging    precision    few    time    surgeons    room    tube    causes    mri    images   

Project "Optics-MISS" data sheet

The following table provides information about the project.

Coordinator
DEEP HEALTH LTD 

Organization address
address: 16 CARMEL ST
city: RECHOVOT
postcode: 7630516
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 3˙540˙125 €
 EC max contribution 2˙478˙087 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-EIC-SMEInst-2018-2020-3
 Funding Scheme SME-2b
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2022-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DEEP HEALTH LTD IL (RECHOVOT) coordinator 2˙478˙087.00

Map

 Project objective

The Deep Health’s Spine Navigation System uses machine vision 3D cameras and AI-based algorithms to automatically match patients’ preoperative spine CT or MRI scans to images taken in the operating room, a process called registration. Once the patient is registered, the surgeon can see the exact location of their surgical tools relative to the anatomy. Using the computer, the surgeon can see exactly where the target anatomy is, like using GPS to navigate while driving. Image-guided surgery allows surgeons to avoid damaging critical anatomy like the spinal cord and major blood vessels. Image guidance from machine vision results in safer surgery for patients. Navigation accuracy is crucial in spine surgeries, where a few millimeters can be the difference between a good outcome and major surgical complications. Current Navigation systems in the market, create the anatomical map only once at the first stage of the operation and track the movement of only the surgery tool. Deep Health solution is the first and only system which tracks the patient anatomy in real-time throughout the surgery. Real-time tracking not only ensure higher precision and better safety, but it also enables new clinical application which requires higher accuracy (e.g. cervical spine procedures), real-time anatomical correction (e.g. tumor removal). Minimally invasive spine surgery (MISS) is a type of surgery which uses smaller incisions than standard surgery. This often causes less harm to nearby muscles and other tissues. For MIS procedures Deep Health is developing miniature 3D camera attached to the retractor tube, which uses the smaller opening to keep registration functioning. Deep Health is a medical device company developing innovative surgical guidance systems and is dedicated to addressing the unmet needs of spine surgical navigation systems for surgeons and patients. Deep Health has developed the first Machine-vision Image Guided Surgery system that allows improved spine surgery.

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The information about "OPTICS-MISS" are provided by the European Opendata Portal: CORDIS opendata.

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