Ksyos and Healthplus.ai working together on A-eye: Implementation of AI in eye disease detection

There is quite a lot going on at Healthplus.ai currently. New team members joined the data scientists team over the last few months, and they are already speeding up the pace of development. One of the projects that benefits from this is A-eye, where we work closely together with Ksyos. There are various aspects worth mentioning about this collaboration, and instead of typing a lengthy post myself, I will point to the Master Thesis A-eye: Implementation of AI in eye disease detection” of Ward de Leve.

A-Eye: An AI service for eye disease detection”

In his Thesis that Ward wrote to conclude his studies of Integrated Product Design at TU Delft, he focus on designing a service around the AI system to make it fit the needs of the different medical specialists. So it describes the complete A-eye workflow, and the role AI is going to play in this process. In chapter 4. The algorithm, you’ll find more information about the type of algorithm that is going to be used to develop the eye screening algorithm, and how we are doing this. There is quite a bit of detail on the context and background, with a good explanation of the reason to use of a convolutional neural network (CNN) to recognise patterns in (eye) images.

Think eye images instead of Zebras as Input, and possible eye diseases detected as Output

The development of the model is work in progress: working in sprints, running multiple iterations, designing & training the model, evaluating the results, and then improving in a next cycle to further optimise the model. One and of the next steps is to integrate a working version of the model in the workflow, as described in chapter 5. Workflow. I’m not going to give away more details, really recommend to check out the thesis yourself for further reading pleasure.

Concept UI design displaying AI results in a user and specialist understandable advice

So Ward, thanks for this thesis, makes writing this post a bit lazier easier, and of course congrats with your Master Graduation! Rest assured that we will use your ideas and recommendations to make the integration of the AI model in the workflow as user friendly and efficient as possible.

For those of you who want to know more about this project or other projects we are running at Healthplus.ai, feel free to contact me at emil.zegers@healthplus.ai

Healthplus.ai, PW Consulting en SAS krijgen EU-subsidie voor terugdringen post-operatieve infecties in ziekenhuizen!

De titel zegt het al, en er staat een mooi bericht online waar ik graag naar verwijs, maar wil persoonlijk graag toevoegen dat ik dit een geweldige mogelijkheid biedt om vanuit Healthplus.ai samen met PW Consulting en SAS aan de slag te gaan om de verdere ontwikkeling van PERISCOPE gestalte te geven!

https://www.sas.com/nl_nl/news/press-releases/2021/may/healthplus-ai-pwconsulting-en-sas-krijgen-eu-subsidie-voor-terugdringen-post-operatieve-infecties-in-ziekenhuizen.html

Healthplus.ai PERISCOPE

It took a bit longer than expected to actually write the next post but whoop, here it is, and there is some nice news!

I started on a freelance engagement assisting Healthplus.ai in translating hospital data into processable data streams and implementing a scalable approach for each and every hospital.

In due time this should result in PERISCOPE, an EHR-integrated clinical tool that uses AI for early warning of post-surgery infections and other major complications. Earlier diagnosis and actions will reduce the number complications, their impact and cost.

Sounds good right? If you want to know more (and there is much more because this project already started some time before I joined the team but more on that in another post), check out https://www.linkedin.com/company/healthplus-ai/ and https://healthplusai.com/

Interesting to mention is that Healthplus.ai is mentioned in the current AI Startup Landscape map, check out the EHEALTH section in the overview of 100 Dutch AI startups.