Echos & News!

PROUD TO ANNOUNCE THAT

 
 

DEEPECHO MEDICAL VALIDATION

Listed on French Journée Francophones de Radiologie 2021

 
 

DEEPECHO PART OF MICROSOFT FOR STARTUPS

Deepecho joined the leading healthtech player Microsoft on the most avdanved startuo bactch !

 
 

DEEPECHO CLINICAL STUDY

We launched our first AI clinical trial with 5 hospitals! Interested in joining the process?

Mission

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.

We are on a mission to reduce infant and maternal mortality rate caused by ultrasound diagnosis mistakes.

We are working on building a solution tackling the Millennium Development Goal 4 on reducing child mortality rates.

450 newborn children die every hour, mainly from preventable causes, which is unconscionable in the 21st century.

PRODUCT

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.

Original image

taken by the sonographer

Abdominal standard

plane detection

VALUE PROPOSITION

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.

RESULTS

WHAT WE HAVE ACCOMPLISHED SO FAR

98
CLASIFICATION ACCURACY

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.

95
SEGMENTATION 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.

15
FGR DIAGNOSIS

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.

ACHIEVEMENTS

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.

Medical validation

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).

WORLDWIDE TECH PARTNERS

PROUDLY TRUSTED & SUPPORTED BY

MICROSOFT FOR STARTUPS

Advanced startups batch

NVIDIA

Inception Program

SCIENTIFIC & MEDICAL BOARD

THEY SUPPORT US WITH THEIR VALUABLE KNOWLEDGE

Pr. Nisrine Mamouni

Medical

Obstetrics Gynecology Department 1
Mother-Child Hospital
Hassan II University Hospital Center of Fez

Pr Dalal Laoudiyi

Medical

Doctor Radiologist in the pediatric department in the Ibn Rochd University hospital center. Professor of Radiology in the Casablanca Faculty of Medicine and Pharmacy

DR. Mustapha Akiki

Medical

Radiologist - Obstetrics Gynecology Ultrasound Circle Casablanca
Member of the Francophone Society of Ultrasound

PR EL Houssine Bouyakhf

AI

Pr. in AI founder of the 1st AI Lab in Morocco, CEO & Founder of AIOX Labs .

Pr Sanaa Erraghay

Medical

Obstetrics Gynecology Department 1
Mother-Child Hospital
Hassan II University Hospital Center of Fez

Pr Abdelaziz Banani

Medical

Head of Obstetrics Gynecology Department 1 Mother-Child Hospital Hassan II University Hospital Center of Fez

Pr Chahrazed Bouchikhi

Medical

Obstetrics Gynecology Department 1
Mother-Child Hospital
Hassan II University Hospital Center of FezFort de ses expériences dans les achats, la cession d’entreprises et l’introduction en bourse, il développe la conviction que seuls les investissements dans des domaines d'avenir avec de réelles perspectives de marché peuvent générer de la valeur à la fois pour l’entreprise et l’économie. C'est dans ce contexte qu'il se passionne pour l'IA et franchit le cap en cofondant AIOX Labs où il occupe le rôle de CFO et expert en valorisation des données. Youssef se dédie à la compréhension des objectifs stratégiques et à la définition des retours sur investissement avant de collaborer avec les équipes techniques. Youssef est aujourd’hui en charge du développement européen d'AIOX Labs et d’Akumen IA.

Pr Amina Radghui

AI

Pr in the INPT University Speciality in AI and Machine Learning with a focus on Healthcare

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
Rabat, Morocco

DEEPECHO TEAM

WHO WE ARE

Abdelhak Mahmoudi

CTO

Professor/Researcher in Machine Learning,
Mohammed V University in Rabat.
+10 years of ML experience.

Abderrahmane HAJJI

Data Engineer

Engineer, INPT
Focus on model creation and cloud architecture

Youssef Bouyakhf

CEO

Ecole Centrale, Paris
ESSEC Grande Ecole, Paris
Ex JP Morgan & Macquarie London

Salaheddine Hounka

Deep-learner

PhD in AI, INPT
Focus on Deep Learning
Deepecho model Architecture

Saad Slimani

CMO

Doctor in Radiology Casablanca University Hospital,
Passionate about the potential of AI in Medicine and radiology

Salma El Anigri

Deep-learner

PhD in NLP, FSR
Focus on NLP for clinical reports
NEED MORE INFO?

We’d love to hear from you and show you a Demo !