Mr. Doc develops artificial intelligence technologies for image analysis. Ophthal is the medical device for retinal OCT image analysis in diabetic macular edema. Information for healthcare professionals.
PROBLEM
01
NCDs
Data and image analysis can support healthcare professionals. Each application must be assessed within its clinical and regulatory context.
02
AI
Fully supervised diagnostic AI suffers
from several limitations, such as the need to train on huge amounts of labeled data and its difficulties in managing inputs that are noisy, incomplete or simply different from the original dataset.
03
BARRIER
Introducing software into healthcare requires performance verification, user training and compliance with technical requirements and intended use.
SOLUTION
OUR STORY
Mr. Doc develops software and image analysis technologies. Information about the Ophthal medical device is available on its dedicated page and in the instructions for use.
OUR VISION
Mr. Doc develops software and image analysis technologies. Information about the Ophthal medical device is available on its dedicated page and in the instructions for use.
TECHNOLOGY
Mr. Doc develops software and image analysis technologies. Information about the Ophthal medical device is available on its dedicated page and in the instructions for use.
Mr. Doc research activities concern machine learning methods for image analysis. Experimental applications and new indications do not extend the intended use of Ophthal.
Ophthalmology
Ophthal is a CE-marked medical device software for retinal OCT image analysis in diabetic macular edema (DME). It provides measurements and visualisations to support the specialist, who reviews and interprets the results according to the instructions for use. Intended use, compatibility, requirements and limitations are described on the device page and in the IFU.
Radiology
Research activities on mammography image analysis using machine learning methods. These activities are not indications for use of the Ophthal device.
Arrhythmias & Emotions
Research activities on rPPG signal analysis and physiological parameters. These experimental applications are not indications for use of the Ophthal device.
Active Learning
Research activities explore active learning methods to select samples for physician review. No uniform reduction in time or costs is claimed for clinical use of Ophthal.
* Ophthal is a CE-Mark medical device according to the European regulation (UE) 2017/745, certificate No. ITH24059691, issue date 27/11/2023
Active learning research studies the selection of samples for expert assessment. This does not describe autonomous learning by the Ophthal product during clinical use.
Ophthal Scientific Supervisor
Prof. Edoardo Midena, MD, FARVO
Professor of Ophthalmology and Visual Sciences
Department of Neuroscience - Ophthalmology
University of Padova
Padova, Italy
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 876145.