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CardioAI
Automated Medical Diagnosis from MRI and Patient Data using Deep Learning
Ivo Everts
AI specialist
Making clients win
by using data
42 data specialists:
▪ 50% data engineer
▪ 50% data scientist
Part of Xebia Group
Headquartered in Amsterdam
OUR STORY
CLIENTS
E-commerce
Travel &
Leisure
Financial
Services
Utilities Products Media
Technical Partnering
Technical Partnering
Let's add Healthcare to our list of clients-by-industry!
Overview
>> The CardioAI tool
>> The future of AI in healthcare
CardioAI
CardioAI
CardioAI
Offering this as a service could:
Save time
Enable large scale processing
Unleash new research and applications
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Predict
infarction
risk
Visualize
outcome
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
Metadata or convnet
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
Metadata or convnet
https://www.researchgate.net/figure/The-proposed-convolution-neural-network-consists-of-two-convolutional-layers-max-pooling_fig3_264160750
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
CardioAI service
Input
Output
CardioAI service
Input
Output
One Unet per class
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
CardioAI service
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Visualize
outcome
Upload MRI images
Download results
CardioAI future
Make MRI
Detect
appropriate
images
Segment
images
Calculate
features
Predict
infarction
risk
Visualize
outcome
This - and many other things - are to be implemented
based on datasets obtained by the CardioAI service
CardioAI future
CardioAI
Deep Learning MRI Google Cloud 3D Medical Awesomeness
CardioAI
Deep Learning MRI Google Cloud 3D Medical Awesomeness
When & how exactly!?
>> Still far fetched connection with daily ops in the clinic
The future of AI in healthcare
"The future is already here — it's just not very evenly distributed."
William Gibson
The future of AI in healthcare
"The future is already here — it's just not very evenly distributed."
William Gibson
Let's consult McKinsey
Let's consult McKinsey
Current client base
Let's consult McKinsey
Current client base
Come on people!
Things
are
getting
serious
Maxine Mackintosh @ NRClive zorgtech
Flip the ethical discussion
>> Projects freeze because of privacy and security concerns
>> Where would we be if we could add some defrost
Flip the ethical discussion
Cardiac function analysis on thousands of patients
>> Projects freeze because of privacy and security concerns
>> Where would we be if we could add some defrost
Flip the ethical discussion
Cardiac function analysis on thousands of patients
AI as a medicine:
predicting stent urgency from blood pressure measurements
>> Projects freeze because of privacy and security concerns
>> Where would we be if we could add some defrost
Flip the ethical discussion
Cardiac function analysis on thousands of patients
AI as a medicine:
predicting stent urgency from blood pressure measurements
ADHD profiling for early detection
>> Projects freeze because of privacy and security concerns
>> Where would we be if we could add some defrost
Flip the ethical discussion
Cardiac function analysis on thousands of patients
AI as a medicine:
predicting stent urgency from blood pressure measurements
ADHD profiling for early detection
Hypoglycemia prediction based on heart rate variability
>> Projects freeze because of privacy and security concerns
>> Where would we be if we could add some defrost
Explore new opportunities
Healthcare is
>> relevant
>> interesting
>> difficult
Explore new opportunities
Healthcare is
>> relevant
>> interesting
>> difficult
We must
>> mutually benefit
>> push forward
>> team up
Make impact on patient care with AI
based on years of experience
Check us out at medicx.ai / LinkedIn
ivoeverts@godatadriven.com
(I need to fix that;)

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