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Development and commercialization of a semi-supervised learning AI for robust diagnosis in real world settings.

Project description

Computers to diagnose like human doctors

Field of science

  • /engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/mobile phone
  • /engineering and technology/medical engineering/medical laboratory technology/laboratory samples analysis
  • /medical and health sciences/clinical medicine/endocrinology/diabetes
  • /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors/optical sensors
  • /medical and health sciences/clinical medicine/cardiology/cardiac arrhythmia
  • /social sciences/educational sciences/pedagogy/active learning
  • /medical and health sciences/clinical medicine/cardiology/cardiovascular diseases

Call for proposal

H2020-SMEInst-2018-2020-1
See other projects for this call

Funding Scheme

SME-1 - SME instrument phase 1

Coordinator

MR DOC SRL
Address
Via Pietro Blaserna 40
00146 Roma
Italy
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 50 000