Eskulabs: AI based platform for storing and comparative analysis of medical images

1. EskulabsAI based platform for storing and
comparative analysis of medical
images

2. 1. Artificial Intelligence (AI) And
Machine Learning
2. Privacy And Security
3. The API Economy
https://www.healthitoutcomes.com/doc/top-digital-health-trends-for-0001
Top Digital Health Trends 2020
1. Omnichannel Delivery
2. Wearables
3. Blockchain
4. Personalized Care
5. Artificial Intelligence
https://hellohealthgroup.com/blog/top-5-digital-health-trends-of-2019/

3. AI FOR HEALTHARE
The market for medical image
recognition and diagnostics
$6.6BBetween 2020 and 2022, the market
will grow by about 8.2% per year
MEDICAL IMAGING DATA
Lots of medical imaging studies are
done in the world annually
10B+Until now, this amount of information
has been analyzed manually by doctors
DATA IS KIND
Global big data spending in healthcare
12%+GAGR through 2022
DEEP LEARNING ON DEMAND
Healthcare will help to deliver
$18BIn spending on deep learning by 2024

4. пп
Medical Image Storage
1. Subjective description of the images are usually kept in EHR, images
themselves are rarely kept.
2. Inability to automatically compare images in dynamics.
3. A variety of devices and image formats.
4. Human factor in interpretation of medical images.
5. Untimely detection of diseases and the lack of effective methods for
predicting risks.
6. Lack of effective control methods.
The place for improvement

5. пп
1. Storage of all medical images in unified format.
2. Dynamic comparison of images obtained at different times, on different
devices and by different specialists.
3. Comparison of different formats of medical images.
4. Early recognition of the pathologies’ development based on an analysis
of their dynamics.
5. Alert system for dangerous prognosis.
Requirements for the solution

6. Eskulabs Project’s purpose
By automating the process of storage and analyzing medical images, Esculabs enables physicians to
get complete information about each organ of their patients. Images and videos of each organ are
uploaded to the organ’s card. Doctor, having secure access, can make an assessment in dynamics
receiving the tips regarding prognosis of disease.
AI, Computer Vision Information Technology
Recognition of medical images and videos for early
diagnostics
Tools for integrating medical data and visualizing
results
AI
Images and videos are
systematized and
analyzed using the
Eskulabs platform
Doctors
Doctors verify signs of
malignancy
Result
Detection of malignancy at
earlier stages
Clinics
Depersonalized medical
images and videos are
downloaded from the clinics

7. Pathological formations of the thyroid
Thyroid diseases take the second place among endocrine
diseases after diabetes.
More than 665 million people live with thyroid disorders.
Each year, this figure is growing by about 5%.
(The growth rate of thyroid cancer over the past ten years is
about 131-133%, according to the World Health Organization)
60-70% of people over 40 have nodules in the thyroid gland.
Up to 30% of all nodules at a certain stage could be
transformed into malignant
With ultrasound, the frequency of detection of previously
undiagnosed nodules in adults is 13–40%.
Over 300,000 thyroid cancers are detected
worldwide every year.
Prostate cancer ranks second among all oncological
diseases among men.
Fourth in the list of most commonly diagnosed types of
cancer in general.
The annual increase in incidence is 63.9%
Over 400,000 cases of prostate cancer are
diagnosed worldwide every year.
Prostate Cancer Causes Almost 10% of Cancer Deaths
Pathological formations of the prostate

8. пп
Thyroid Passport

9. Competitors
Aidoc
Clinically proven
radiology AI
Lunit
focused on
conquering cancer,
one of the leading
causes of death
worldwide
Zebra-med
Imaging Analytics
Engine uncovers
brain, lung, liver,
cardiovascular
Butterfly
An entire ultrasound
system, in your pocket.
Arterys
AI assistant for
cardiovascular
patients
Oxipit.ai
AI based chest X-Ray
radiology suite

10. Business model
Client Model Payers Comments
Private and state clinics Subscription model
People with disorders
Countries where
insurance medicine
model hasn’t been
implemented yet
Insurance companies,
clinics and practitioners
Insurance companies
Portable ultrasound
devices manufacturers
Download to store and
analyze their images,
pay-per-image
Producers, people
with disorders
Countries with
existing insurance
medicine model
Partnership with specialized clinics based on win-win model
5 years contract
To develop and support repository
for medical images and video
To get dataset to build AI
based algorithms

11. пп
Together step by step we’ll create a very important element of the
Clinical Decisions Support System
Stages of the development:
1. We’ll start from the storage of ultrasound data (video and images)
obtained directly from the ultrasound devices, in the future - also
MRT, CT and others;
2. Than we'll develop static image comparison;
3. Next dynamic comparison of images and videos - a cartoon model;
4. Forecasting the dynamics of pathological abnormalities;
5. And finally the tool for prediction of their occurrence.
5 years’ partnerships with
medical centers

12. Our experience
Research on liver fibrosis
Name of nosology: Liver fibrosis in chronic hepatitis C.
Medical equipment: Fibroscan – main tool for examining liver fibrosis in
chronic hepatitis C.
Actual risks when using the device (human factor):
1. Errors in using medical equipment.
2. Errors in interpretation of data from survey images.
3. Not following the guidelines for examination.
Treatment of 1 patient with stage F3 and F4 fibrosis
is about 7,000 dollars.
Unnecessary treatment leads to serious complications.
Prophylaxis and treatment of early stages decreases the number of
complications
A grant of $ 400,000 was received.

13. Demonstration of the system
(Screening for liver fibrosis)
Patient Measurement List
Correct measurements are indicated
in green, red ones that require
rechecking.
Measurement Detail
The contours indicate the reason for
the measurement error.

14. Investments 500.000$
10%
20%
70%
Столбец1
Кв. 2 Кв. 3
Development
Legal support
Marketing
70% Development –
350.000$
Creating a prototype for the
endocrinology solution.
Development of a WEB interface
for clinics.
Cancer Neural Network Training
20% Marketing – 100.000$
10% Legal support,
patenting, company
registration – 50.000$

15. Christian Shpilka
Chief Marketing
Officer
Co-founder of IT-company
Allatrack, entertainment
platform TickFind, transport
platform TickBus
O
U
R
T
E
A
M
Svyatoslav
Aleksandrovych
Chief Executive
Officer
Co-founder of IT-company
Allatrack, entertainment
platform TickFind, transport
platform TickBus
Ivan Onyshchenko
Chief Technical
Officer
Key startup developer , 20+
years in software
development, 12+ years in
product startups, went
through 2 acquisitions
Aleksandr
Pkhakadze, MD, PhD
Chief Medical
Officer
7 years experience in digital
health with Prestigio
Healthcare Solutions,
Lekaris, Mawi,
MyDiabetesSolutions
10+ experience in clinical
practice
10+ experience within
pharmaceutical business
Head of digital health
working group in Hi-Tech
Office Ukraine
Sergey Chumakov
Chief Operating
Officer
Co-founder of IT-company
Allatrack
Stanislav Polozov
Advisor
The early stage
entrepreneur, a biomedical
scientist with education in
medicine (Oncologist) and
specialized in molecular
biology (PHE).
Oleg Levitsky
Key developer
Key startup developer
Wipon, Esculabs, Blockchain
specialist, winner:
TechConnect 2015 Tech
Garden Fest 2015

16. hello@allatrack.com
The Esculabs
development team
uses the most
advanced methods for
managing resources
and processes when
creating software.
Ukraine, Kiev, st.
Gaidara 50B
Tel: +380-50-309-3092
EskulabsAI based platform for storage and
comparative analysis of medical
images