PROUD TO ANNOUNCE THAT
DEEPECHO MEETS PLUG AND PLAY
Watch demo day, early clinical trial results, and investment annoncement!
DEEPECHO PART OF MICROSOFT FOR STARTUPS
Deepecho joined the leading healthtech player Microsoft on the most avdanved startuo bactch !
DEEPECHO MEDICAL VALIDATION
Listed on French Journée Francophones de Radiologie 2021
DEEPECHO CLINICAL STUDY
We launched our first AI clinical trial with 5 hospitals! Interested in joining the process?
DEEPECHO IS AN AI PRODUCT DEVELOPED BY DOCTORS AND AI SCIENTISTS & AIMING AT REINFORCING ANTENATAL DIAGNOSIS
450 newborn children
die every single hour…
Mainly from preventable causes.
Une offre exclusive pour des résultats data en trois semaines, activables aussitôt.
Through high-performance Deep Learning algorithms we are working on a software to prevent birth defects, address preterm birth, low birth weight, and their outcomes.
We are getting a computer to mimic what a trained sonographer would do and simplify ultrasound so that minimally trained clinical professionals assisted by AI technologies, can also use it in nontraditional healthcare settings.
taken by the sonographer
ACCURATE ANTENATAL ULTRASOUND DIAGNOSIS ANYWHERE & IN NO TIME
A decision-making support system
Train advanced Deep Learning Algorithms to real-time identify and help the practitioner to detect and locate standard plans during prenatal ultrasoun diagnosis & automatically take accurate measurements.
A decision-making support system
Set up an automatic system to calculate biometric measurements through a segmentation of the anatomical landmarks and help the practitioner come up with the right medical diagnosis.
A remote ultrasound software
Develop a decision support software to help tomorrow with teleguidance and remote diagnosis. We are looking to democratize access to quality ultrasound diagnosis for prenatal care.
WHAT WE HAVE ACCOMPLISHED SO FAR
Our deep neural models are able to recognize standard views and detect key standard planes including the transthalamic, abdominal and femoral views with very high accuracy.
We have build Algorithms able to measure the main fetal structures with extreme precision, based on one of the world’s biggest annotated fetal ultrasound image database.
DeepEcho is able to diagnose Fetal Growth Restriction (one of the leading causes of neonatal deaths and birth defects) and we are currently working on in vivo clinical trials to publish our results in the coming months.
WE MAKE MEDICAL & AI EXPERTS TALK TOGHETER
World class curated dataset
One of the world’s biggest dataset (*) for fetal ultrasound images, with best in class medical input, annotated by some of excellent experts in the field and constantly fed by our medical partners.
Health center partnerships
More than 5 health center partnerships – and counting – to fuel our algorithms with Data, to share with us their expertise and needs, and to deploy our solution on the field.
Our work and strategy is driven by our medical roadmap, we will be in the coming months releasing what is probably worldwide one of the first clinical studies on the uses of AI in ultrasound diagnosis for prenatal care
(*) : Burgos-Artizzu, X.P., Coronado-Gutiérrez, D., Valenzuela-Alcaraz, B. et al. Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes. Sci Rep 10, 10200 (2020).
PROUDLY TRUSTED & SUPPORTED BY
MICROSOFT FOR STARTUPS
Advanced startups batch
PLUG AND PLAY
AI R&D LABS
DEEPECHO’S SCIENTIFIC ECOSYSTEM
Laboratory of Computer Science, Artificial Intelligence and Pattern Recognition, Mohammed V University in Rabat, Morocco
Research Laboratory of Telecommunications Systems, Networks and Services INPT Rabat, Morocco
Research Laboratory in Information Systems, Intelligent Systems and Mathematical Modelling
WHO WE ARE
Mohammed V University in Rabat.
+10 years of ML experience.
PhD, 30 years of AI research, focus on R&D
ESSEC Grande Ecole, Paris
Ex JP Morgan & Macquarie London
Focus on Deep Learning
Deepecho model Architecture
Passionate about the potential of AI in Medicine and radiology
Focus on NLP for clinical reports