Download - AiD imagineCup 2009 Cairo Presentation

Ntua Team

Ai.DJoin the battle against one of the deadliest

diseases today…

The Challenge

*WHO, malaria report 2008

1,000,000 deaths

250,000,000 infections

Malaria is responsible annually for:

Africa:

90% of

total deaths

88%children <5


The reasonsEX

AM

INA

TIO

N

Flu like symptoms

DIA

GN

OSI

S Few Doctors 2/10.000

TREA

TMEN

T 61%

Rural population

AiD approachEX

AM

INA

TIO

N

FrequentExaminations

local station

DIA

GN

OSI

S Doctors Network

mobile phones TREA

TMEN

T OrganizeInformation

Maps and medical data

AiD characteristicsEX

AM

INA

TIO

N

Station

-Simple-Multilingual-Guidance-Blood Analysis- Initial Diagnosis

DIA

GN

OSI

S

Mobile Phone

-Easy-Quick-Full info-Confirm or Abolish TR

EATM

ENT

PC Client

-Visualize-Access all stations-Access all data

Patient Medical Coordinator

Doctors Network

Local Doctors and NGOs

AiD Mobile

AiD Station AiD Server AiD ObserverAiD Station

AiDServer

AiD

Observer


Doctors Network


AiD Mobile


AiDServer

AiD

Observer

Diagnosis

Ai.D algorithm


Doctors Network


AiD Mobile


AiDServer

AiD

Observer

Diagnosis


Doctors Network


AiD Mobile


AiDServer

AiD

Observer

Cas

e

Co

nfi

rm


Doctors Network


AiD Mobile


AiDServer

AiD

Observer

All Cases

AiD Mobile

AiD Station

WPF XML

Fingerprint

reader

Speech API

Image analyzing

AiD Observer

Registration

site

Windows mobile

application

Clinical Diagnosis

FinalDiagnosis

Bing Maps

WPF

Initial diagnosis

Technologies

Help in24h

688,000,000$for malaria in Africa*

500$per station

Estimated Cost

0.20$ per examination 0 $

doctors’ fee


1,300,000$

Imagine Cup Criteria

Consistency Innovation

Impact EffectivenessUser

Experience

Complexity Management Extendibility

Functional Completeness

The problem

“…the project could actually have an impact on the early diagnosis of malaria, especially in remote areas and marginalized communities in the developing

world. It would be worth trying to study its possible adoption and use by national and/or local health systems”

G. Kouvaras, Country Director, ActionAid Hellas

“…the existence of such a system in remote areas could send series of photos of blood smears to trained physicians that will make the final

selection of the malaria cases”

N. Vakalis, Prof. of Tropical Diseases, Former WHO member

“…the capability of the system to automatically capture and analyze multiple images of the blood slide can save considerable time in

diagnosing malaria since this procedure could take up to 40’ even for trained physicians”

E. Dotsika, Dir. Cellular Immunity Lab, Pasteur Institute

Thank you

Photos by: lyric1507, James Jordan

Q & As

MicroscopeRapid

Diagnostic Test

accuracyearly0,12

− medical staff

easy use

− no accurate data

−severe symptoms

−13,5$/diagnosis

AiD

accuracyearly stages

0,12$/diagnosis

easy useCurrent solutions

Our solution

THE ROLE OF THE NEURAL NETWORK

Each blood image is segmented into blood cells.

Each blood cell is analysed to its correspondingcolor components.

The color components of the luminance channelof each blood cell are fed into the neuralnetwork.

The neural network is trained accordingly todecide whether the color componentscorrespond to malaria cells or not.

HOW DO WE PRIORITIZE THE MALARIA CASES

The identified malaria cases are prioritized as totheir severity based on the counting of theisolated infected blood cells from the malariaparasite.

So an image depicting a high number of infectedblood cells is given high priority in relation toanother.

SUPPORT OF THE HL7 STANDARD

HL7 is a well established standard implementedby the majority of medical systems today.

Ai.D is still in its proof-of-concept phase so wehave chosen not to implement HL7 at this stage.However, we have used ICD10 in thecategorisation of malaria cases in the Ai.DMobile Appilcation.

TESTING OF Ai.D

We have visited the two biggest and mostesteemed medical centers in Greece, Evaggelismosand Ygeia Therapeutirion.

There, we discussed our approach with thedirectors of the hematology department, especiallyDr. Vakalis, professor of tropical diseaces andformer WHO member.

However, as in Greece malaria is extinct, we did nothave the capability to test our system withsuspected malaria patients.

OTHER SOLUTIONS AVAILABLE

With regard to photographing and transmittingblood sample images, there is a wide selection ofmedical equipment available by companies such asOlympus, Leica, Cella Vision etc.However, this equipment costs tenths of thousandsof dollars.Our system is much much cheaper, with theinnovation of combining such characteristics withthe capability of providing through our algorithm aninitial analysis of the blood sample to identifysuspected malaria cases.

CREATE AND SUSTAIN THE DOCTORS’ NETWORK

We plan to contact primarily doctors organisationsand NGOs acting in the Africa region.

We have already set up a site in which suchorganisations can log in and register their doctors’list. Following, our website alerts each doctorindividually, providing him with the necessarycredentials to download the mobile application andthe PC client, so that he can start contributing tothe network.

DOCTORS NEEDED

250.000.000 malaria cases are identified eachyear, meaning 685.000 cases per day.

An initial target would be a 10% of this figure,meaning around 70.000 cases per day.

A doctor of the Ai.D network could easilyperform an average of 5 diagnoses per day,spending about ten minutes of his free time,meaning that we need a minimum of about15.000 active doctors each day.

BUSINESS PLAN / BUSINESS MODEL

We need about 100.000 to finalise our system in the nextthree months

We target around 70.000 diagnoses per day, each stationcan perform an average 100 diagnosis per day, meaningwe need a minimum of 700 stations, With a rough stationcost of 500 $, 700 stations will cost about 350.000$

150.000 $ to communicate and deploy the idea to 3-4countries

50.000 $ to approach initially doctors networks and NGOsto start using our network

Total of 650.000 $

BUSINESS PLAN / BUSINESS MODEL

According to our rough estimations, we areprobably going to need:

100.000 $ to finalise our approach.

150.000 $ to spread to 3-4 countries

50.000 $ to approach initially doctors networksand NGOs to start using our network

1.000.000 $ to set up around 700-1000 Ai.Dstations

VIABILITY OF BUSINESS PLAN(LOCAL LEVEL)

Imagine Ideas tend to attract considerableexposure. For example, Smart Eyes, a former GreekImagine Cup Idea, has received a fund of 500.000 €by COSMOTE.

Furthermore, national funding opportunities areavailable and NTUA has already much experience insupporting and promoting such ideas throughcorresponing innovation projects.

Ai.D has already attracted considerable attentionthrough publications in big newspapers and media.

BLOOD SMEAR PREPARATION

LABORATORY PREPARATION

STEPS

TAKING THE BLOOD

MAKING THE SMEAR

FIXING

STAINING

TOTAL TIME: 20 min approximately

AUTOMATED PREPARATION

Download - AiD imagineCup 2009 Cairo Presentation

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