As a patient, I wouldn’t settle for the fourth-best answer.
Doximity Ask outperformed OpenEvidence, GPT-5.6 Sol, Claude Fable 5, and other frontier AI models in a published study led by physician-researchers from Stanford Medicine and Harvard Medical School.
https://t.co/akEri1aO9p
For clinical AI, the model is only one layer. You also need evidence retrieval, clinical workflow fit, privacy guarantees, continuous evaluation, and physician review through PeerCheck™.
That’s the system behind Doximity Ask — now part of a Clinical AI Suite purchased by 150 health systems, including 8 of the top 20 hospitals.
Here’s how Doximity Ask works under the hood:
https://t.co/6umaz6Rvn6
In this first Rails case study, discover how Doximity leveraged #Rails to onboard their team quickly, iterate fast in response to customer feedback, and evolve their monolith, all while navigating the additional challenges of scaling a critical platform quickly during a global pandemic. https://t.co/u5dKwHfjnS cc: @doximity_tech@doximity More case studies to come!
Listen to Michael Orr (@imightbeinatree) talk about Containerizing Ruby on Rails applications, Open Tracing, and more on the @rubyrogues podcast. https://t.co/hIgd0l8LOO
Check out this week's episode of #RubyRogues with @imightbeinatree. Come to know the efficient process on how to move apps to Kubernetes.
#RUBY: Containerizing and Moving Apps to Kuberetes
https://t.co/fCOaOTEHVL https://t.co/fCOaOTEHVL
New on the blog: Containerizing Ruby on Rails Applications - Five Improvements when Deploying Ruby on Rails Apps to Kubernetes by @imightbeinatree https://t.co/EMzMP0KHNM
300k. I get to take eleven eleven year old fans, and I get to dress like eleven. And if it runs post Halloween, I’d prefer us to go on November 11th, at 11pm. https://t.co/H5ECmUTOwP