AI Powered Radiology Platform
Medicai makes collaboration around medical imaging really easy with a cloud PACS, integrated DICOM Viewer and messaging in the same place.
The need for bringing patients and doctors closer together surfaced while working on SkinVision. Managers and doctors complained they need to carry a bag of CDs to radiologists for interpretation. Different studies confirmed that medical imaging increases faster than the percentage of new radiologists who enter the field.
With experience in the healthcare system, Medicai is developed as a cloud-based PACS solution that brings together patients, radiologists, and clinicians in a modern and efficient manner.
- Enhance collaboration between doctors around medical imaging
- Affordable PACS Infrastructure for small/medium clinics
- Consolidate patient medical imaging in one place
- Increase efficiency of radiologists and other doctors around medical imaging through the use of AI
- PACS integration with small and medium clinics
- Integration with MRI/CT/Cat-Scan machines
- DICOM viewer integration inside the web platform
- Data storage: huge amounts of data (1 MRI is 500MB-2GB)
- Mapping out doctor-patient interactions to automate them
Driven by Impact
From the very beginning, we wanted to give doctors the ability to collaborate and communicate online around medical imaging in a multidisciplinary team. Once the data is uploaded to our infrastructure the medical imaging is always available easily. This saves tons of time for both patients and doctors, especially in the situation where doctors and/or patients are in different geographical locations.
AI is a big part of Medicai – we’ve integrated machine learning capabilities to help doctors interpret imagery faster than ever before. Until now we have improves specific repetitive tasks for radiologists by 70%-80%.
I can think of no better team to work with when it comes to product development. The support AB4 gave us through the last year was game changing for Medicai. They are not contractors, they are part of our team. We rely on their judgement for our most complicated decisions with regard to the product.
Head of Research
I had experience working with AB4 Systems from another product we worked together, SkinVision. They were our go-to choice for software development for Medicai because they bring so much value to the table. With them, we know our research work is deployed properly into production and we get the feedback we need fast and well structured. I 100% recommend anyone to work with them!
Initial development starts
Medicai v1.0 is released, MVP is complete
Medicai attracts 25 000 EUR investment from GapMinder and Techcelerator
Medicai v1.1 is released with cloud based PACS functionality, custom DICOM web uploader, file storage, DICOM Viewer, major infrastructure re-engineering, AI Liveer Segmentation
- The AI Liver Segmentation has a 95% accuracy and 60% time improvement??
- Medicai targets an audience of at least 40 million doctors worldwide
- AI Liver Segmentation trained on 20k annotated images by in-house radiologists
New v1.2 version of Medicai that is focused on adding functionalities for doctors
Medicai attracts 75 000 EUR investment from GapMinder
Medicai v1.3: Investigation/DICOM Archive, Redesign of Cases flow and DICOM uploader, multi investigations per case, UX Improvements
Medicai v1.4: Cases can contain additional documents (medical investigations), Mail notifications integrated for various user actions, DICOM Archive functionality improvements
Medicai v1.5: Invite functionality, Notification module, Parallel/Bulk uploads of DICOM, Internationalization, Landing pages, UX Improvements, new DICOM viewer, infrastructure upgrade
Medicai v1.6: Case Management, presentation website on WordPress, Reporting module, Patient functionality, Security improvements, Preview documents directly in Medicai, speed improvements
Medicai wins 2nd place at Startarium, meaning 30 000 EUR funds
Medicai v1.7: Organizations module allowing grouping of users and data sharing in the workspace, Public Uploader and case request functionality, PACS Authorization module, Security improvements, DICOM Archive picker for case creation
Medicai attracts 500 000 EUR investment from D Moonshots and ROCA X
Medicai v2.0: Distributed cloud PACS first phase of re-engineering, performance improvements, UI/UX improvements
- Gathered a research database of at least 200k CT and MRI images
More to come
CT & MRI IMAGES
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