Bundling medical AI and healthcare expertise to save lives
8
partners
5+
Challenges per year
250+
AI for Health Engineers
25,000+
hrs of Engineering
Empowering Medical Professionals and Patients with AI
With the AI for Health Lab we pool resources and share knowledge for the advancement of public health. Working with sensitive patient data is a tricky exercise and so is using AI to do critical diagnosis decisions. Through this Lab we are able to organize more AI for Good Challenges; deliver more real life healthcare solutions to medical centers; and train our machine learning community in specific skills relevant to medical AI.
Improving the quality and access to healthcare
Data science is making its way into medicine beyond labs and clinical research. Healthcare providers increasingly onboard bioinformaticians, medical and clinical data scientists requiring an AI-heavy skillset. AI-powered solutions are assisting with diagnoses, patient care and expanding treatment support beyond medical facilities. We can’t be missing here.
We are lucky to have a flourishing collaboration ongoing thanks to our AI for Health Chapter based at the Eindhoven University of Technology. Working with health institutes and universities all over the country, they organize AI for Health Challenges and health topic events.
Thanks to their support, support of our partner ecosystem and our community of AI for Health engineers developing medical AI solutions, we are able to contribute towards UN Sustainable Development Goal 3: Good Health and Well-being.
UN Sustainable Development Goal 3: Good Health and Well-being
Ensure healthy lives and promote well-being for all at all ages.
13
Targets
18
Events
35
Publications
978
Actions
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Make life-saving data available while preserving privacy
Improve the speed & accuracy of diagnostics in radiology
Foster early detection & prevention of diseases instead of treating symptoms
Make preventive diagnostics more affordable
Improve access to mental healthcare
Model the progress and impact of infectious diseases
Medical Imaging
The use of artificial intelligence in diagnostic medical imaging has shown impressive accuracy and sensitivity in the identification of imaging abnormalities. Assisting healthcare professionals with detection, segmentation and classification, it can be of immense value for screenings and precision medicine. Our AI for Health engineers used Generative Adversarial Networks to segment X-rays of lungs to detect Covid-19. They applied U-nets and mask-RCNN for instance segmentation of cervical vertebrae to predict patient developing hernia.
Sensitive Patient Data
Medical AI is teeming with sensitive patient data used to train machine learning models. We teach our AI engineers how to handle sensitive information without compromising the model accuracy. We deploy techniques like Federated Learning to train algorithms across multiple decentralized servers holding local data without sharing them. Watch a recording from a Federated Learning Masterclass we’ve organized for an AI for Health Challenge.
Explainable AI
For transparent algorithmic decision making we deploy the techniques of Explainable AI or sometimes called Trustworthy AI. In healthcare, it’s important to see how the machine learning model arrived at a certain decision. How does it assess which preterm baby is at risk of getting sepsis or what does the neural network pay attention to when segmenting a medical image (as seen on our heatmap of a lung scan)?
Biosensor Analysis
We collaborate with medical professionals to deploy state-of-the-art medical analysis in our Challenges. In order to develop a usable AI solution, the participants need to understand the relevant hardware and the medical procedures. To improve hernia detection models for example, it’s of great value to have a neuroscientist explain the principles of radiology imaging, hernia diagnosis and its treatment to Challenge participants. Or the analysis of electrocardiograms to prevent heart failure.
AI against Toxic Clouds
AI against Diabetes
AI for Preterm Babies
AI for Health - Heart Failure Detection
AI for Health - Preventing Sepsis
AI for Health - Predicting Deterioration
AI for Health - Hernia Detection
AI for Health - Covid Detection
AI against Covid-19 Challenge
Submit an AI for Good Challenge
Do you have a problem that can be solved by applying machine learning technology? We’ll crowdsource an AI solution in 10 weeks.
We get some machine learning in medicine done
- Develop prediction models for blood values from electrocardiograms as an indication of heart failure
- Early risk prediction of a preterm born baby developing sepsis
- Develop explainable time-series models for prediction
- Detect hernia on X-ray images of a anonymized patient dataset
- Automatic segmentation and tracking of cervical vertebrae over time
- Segment lungs using Generative Adversarial Models
- Predict economic effect of Covid 19 and its snowball effect on wellbeing
- Model the burden of Covid 19 on the healthcare system
From our YouTube channel
From our Publications
Become a certified AI for Health Engineer
Individual engineers who collaborate in the AI for Earth Challenges are trained in working with sensitive patient data; applying computer vision techniques for medical imaging and in other machine learning skills essential to medical AI.
Sign-up at the platform for free and fill your profile. Pick your interests and join corresponding communities. Create a skill tree you’ll be developing with every AI for Good activity.
Start my journey
Learn how to apply your acquired AI knowledge in the real world. Join AI for Good challenges and collaborate in teams all over the globe.
Upgrade my skills
Every activity adds to your development. You’ll be accredited with badges for specific hard and soft skills and certifications after an accomplished challenge.
Build my skill treeBecome a certified AI for Wildlife Engineer
Individual engineers who collaborate in the AI for Wildlife Challenges are trained in edge computing, computer vision, model pruning and other skills essential for the applied AI projects.
Join the community
Participate in a challenge
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Challenge Partners
Medical & healthcare organizations and experts applying the results of the AI for Health Challenges. Do you have a medical or healthcare problem that can be solved with AI? Submit your challenge
Contributing Partners
Use their teams, expertise and resources to advance AI for Health Lab & Challenges.Can your experts or technology contribute to solving an AI for Health Challenge? Partner up! 👇
Community Partners
Use their reach to spread the AI for Good news, advocate for AI for Good Lab & Challenges.Do you have a network we could reach out to with medical AI and healthcare topics? Connect on Linkedin, Twitter or drop us a note 👇
Partners
