Building trust in healthcare AI. We assess performance & fairness of AI products at local clinical sites before adoption, and monitor products once deployed.
We’re pleased to support the @RTAUgovuk’s Portfolio of AI Assurance Techniques! Explore how AI assurance solutions such as Aival enhance reliability and trust in AI systems through a range of case studies here https://t.co/K5Fuhrt4Ud.
Ready for the last day of exhibiting at #rsna23! With the rapid growth in innovative AI products, which AI product should you choose for your practice? How should you evaluate and compare products? If you are RSNA drop by 5147 to find out more. https://t.co/a8n1EA4gfK #rsna2023
#RSNA23 is almost here and the Aival team are ready to talk about practical steps to evaluate and monitor AI in healthcare. Book a demo with the team https://t.co/a8n1EA4O5i Let's take steps to bring confidence into AI decision making! https://t.co/ID9nX46PlT #rsna2023#chicago
We're looking forward to #RSNA23 ! We'lll be at Booth 5147 in the AI Showcase and excited to demo our Analysis Lab product suite for comparison, evaluation and monitoring of imaging AI products. Book a time to see us here: https://t.co/a8n1EA4O5i #AI#trustworthyAI#radiology
The @OECD AI Observatory provides a Catalogue of Tools & Metrics for Trustworthy AI. See more about our Analysis Lab on their site: https://t.co/lMeyJjIkr2
A suggested AI governance framework from some of the leaders in imaging AI adoption: "Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK" https://t.co/A2zhUGtlHE
If you are choosing between different imaging AI products and want to systematically gather feedback across clinical users, our software can provide a platform for comparison and assessment. Get in touch with us at [email protected] to arrange a demo! https://t.co/lPwI6IGPZS
AI products should be validated locally over time according to a recent Nature paper from Stanford University https://t.co/2mFacNYTyV We agree that this is the preferred way to ensure safe and effective deployments and can help support with software to do this
The next stage of the Artificial Intelligence Diagnostics Fund (AIDF) is rapidly approaching! Aival can help Imaging Networks & vendors with systematic evaluation and comparison of products, and monitoring deployed products once in use. Get in touch to learn more or for a demo!
Where can the #healthcare ecosystem meet to collaborate?
Very few places...
So.....we launched: Connecting the Dots in #DigitalHealth
--
This month's focus 🔎
AI Imaging (and we've got an epic panel lined up).
DM Us if you're interested!
Looking forward to next week's Intelligent Health UK at the ExCel Centre in London! Come meet us to see how we help clinicians and vendors validate performance and fairness of AI products at local sites.
Meet the leading #AI & #healthcare brains you can look forward to hearing and learning from at #IHUK23 in London in just 3 weeks!🥳🥳🥳
They will cover all the latest real-time #AI applications in mental health, cancer, covid, robotics and surgery, radiology, & diagnostics💪
Exciting news! 📢📢
We've partnered with healthcare imaging AI software provider Aival, who will be joining us as a Start-Up Event Partner at #IHUK23.🥳🥳🥳
See you on 24-25 May in @ExCeLLondon. Just 8 weeks to go 🙌 https://t.co/okPjI3zCzo
#artificialintelligence
We're looking forward to the @BIR_AI_SIG AI Congress on Thursday/Friday this week! Glad to see radiologists, platforms and vendors coming together. We'd love to meet you there: please use https://t.co/beXtRcWey6 to schedule a product demo or a meeting with our team! #BIRAI23
Metalynx is now Aival! A change of name, but we're still just as committed to helping accelerate adoption of effective and fair AI in healthcare, through software for evaluation and monitoring of products https://t.co/XuzgVlrZ2N And we're hiring for a machine learning engineer!
Job alert!: We are looking for a Machine Learning Engineer to work on developing algorithmic strategies to stress-test computer vision applications in healthcare. Our aim is to ensure safe, fair and effective adoption of AI for all! https://t.co/83gwFVp1vT Shares appreciated :)