AI solution as support to diagnosis of Covid-19 related pneumonia through X-ray, especially for resources-limited settings

1. 1
care4covid.ai
rapid COVID-19 pneumonia detection
Smart support for

2. 2
SDG 3 & 10
We contribute to improved
equity, affordability, and
accessibility
of health services
Our Goals
Interoperability
We help move
away from
isolated digital
solutions

3. 3
Health Systems Under Stress
Around the world health
systems are under enormous
stress in trying to cope with
the COVID-19 pandemic
.
Test Kits Are Limited
& Results Take Time
Access to testing facilities and
availability of test kits is limited
in developing countries and take
time to produce results
Clinical Staff Need Rapid Triage
Clinical staff need to take quick decisions
to identify patients requiring isolation &
COVID-19 treatment
Citizens Anxious for a Diagnosis
Care providers are confronted with high
numbers of citizens anxious to have
their respiratory symptoms diagnosed
.
Problems We Address

4. 4
Running an X-ray image through
care4covid.ai supports fast identification
of suspected COVID-19 pneumonia cases
When patients present with
respiratory symptoms, an X-ray
is commonly used to support diagnosis
Our Solution
care4covid.ai
An artificial intelligence (AI) tool that
enables a rapid first analysis of X-rays
based on AI to provide decision support

5. 5
Our Product
care4covid.ai
Is an AI tool with an Electronic Medical Record
(EMR) developed in Germany which supports
COVID-19 diagnosis based on X-ray images
Has been trained on a database of > 17,000 chest
X-rays vetted by academic institutions in Canada
Identifies COVID-19-induced pneumonia
with a confidence interval of >90 %
Relies on a database & algorithm that are
open source – no license payments required
care4covid.ai

6. 6
An intelligent algorithm analyzes & identifies COVID-19
induced pneumonia with a confidence interval of >90 %
2. Intelligent algorithm analysis & identification
Healthcare professionals
see the results in the EMR
within 20 minutes
3. Results sent within 20 minutes
Healthcare professionals upload
DICOM or jpeg chest X-ray images
on care4covid.ai
1. Upload images to care4covid.ai
How It Works

7. 7
Who Can Use It
Developed & Developing
Countries
Any country, especially in
resource constrained settings.
Already in use in Afghanistan
and Indonesia.
Health Care
Providers
Suitable for health care
providers ranging from primary
health facilities up to large
and university hospitals.
.
Health Care Facilities
With X-ray Machine
Implementable in any
healthcare facility with a
digital or analogue X-ray
machine.

8. Rapid isolation of
infectious patients;
reduces chances of
infection transmission.
Cost-effective AI + EMR
package; Increased
productivity of medical
staff.
Speeds up
identification of
suspected COVID-19
pneumonia patients.
Provides medical
decision support even
where qualified staff is
in short supply.
Compliant with
international
interoperability
standards.
User friendly, easy to
implement, rapid
remote installation
and roll out.
Utilizes images from
widely available X-ray
machines; compensates
for PCR testing
obstacles.
Advantages

9. Knowledge transfer
through local capacity
building, full handover
to local teams
Use of cloud server
reduces expansion costs;
savings if installed in
multiple hospitals
Vendor-
independent, no
license fee
Works also without the
Internet; easy to
increase number of
users; any language,
any script
Technology
Transfer
Open
Source
Economies
of Scale
Easy to
Expand
Modular &
Future-safe
Easy integration of
additional
functions beyond
COVID-19
Scalable Benefits

10. 10
care4covid.ai, bundled with a
myCare2x basic electronic medical
record (EMR) including AI interface,
also analyzes CT images & integrates
case-based risk prognosis.
Additional AI modules for breast
cancer detection, already tested in
Afghanistan on 9,000 cases with
60,000 images
A full version of the myCare2x EMR is
available, it is scalable into a full-
fledged HMIS, applied in hospitals in
Germany, Malaysia, Nepal & Albania
Links up easily
with additional
algorithms
Proof-tested for
breast cancer
detection
Scalable into
an HMIS
Easy Extension
Beyond
COVID-19

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Technical Environment
Hardware (server, cabling,
tablets and/or PCs
or mobile phones)
Product Adaptation
Adaptation of language(s),
creating interfaces with
local legacy systems
Technical Assistance
Quick needs analysis,
support in installation, training of
local staff, ongoing trouble-shooting
.
What Is Needed

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“This is a very hot time for care4covid.ai. Every province and
district needs this now urgently. I sent the images through
myCare2x and to human experts, the response was always
matching.”
Afghanistan: Dr Raoufi Rokai, Head of
Diagnostic Department, Ibn Sina Regional
Hospital Mazar-I-Sharif
“This predictor is super effective and urgently needed in
the primary sector in villages. It worked immediately and
confirmed my suspected diagnosis. Other doctors
in my region immediately started asking
for this tool.”
Indonesia: Dr Liman Ayusta, Primary Care
Physican, Java
Testimonials

13. Joachim Mollin
Owner - hcc gmbh
& Entrepreneur
Inke Fabian de Barreto
Managing Director
EPOS
Matthias Wetzel
Programmer
myCare2x Network
Michael Reiter
Healthcare Journalist &
PR Consultant – EPOS
Michael Weinhara
Health Informatics
Specialist - EPOS
Milena Beyene-Kuehnl
Procurement Specialist
EPOS
Amitava Sanyal
Healthcare Facility
Planner - EPOS
We work with health & IT specialists around the globe
Our Team

14. 14
Contact Us
eposHQ@epos.de
Or go to care4covid.ai
https://covid.xray.reviews/
and test us!