Bill Siwicki interviewed @drkhan for @HealthITNews at #HIMSS24 to discuss HOPPR’s foundation model and the insights it can provide to end users. Read the full interview here healthcareitnews.com/news/hoppr-dem…

Don't forget to visit the AWS booth at #HIMSS24 on Wednesday to see a HOPPR demonstration by @drkhan and Jory Tremblay. The demonstration will be at Booth 1561 tomorrow from 9:30am to 6pm.

Will you be at @HIMSS this week? Make sure to stop by the AWS booth (# 1561) in the South Hall to see @drkhan and Jory Tremblay hosting a HOPPR demonstration on Wednesday. #HIMSS24

“HOPPR is not just solving a technical challenge; they are addressing a human one.” Charlie Webb wrote about @drkhan's #HealthTech journey and how it led to the founding of HOPPR. Check out the full piece: smartrhealth.substack.com/p/the-da-vinci…

In case you missed it, @drkhan spoke with Dr. M. Christine Stock for @Health2047 about how the HOPPR team started thinking about solutions to the problems faced by radiologists. Listen now: podcasts.apple.com/us/podcast/rei…

How can HOPPR help address administrative fatigue and reduce anxiety for patients? Tune in to
@Health2047’s So You Want to Transform Healthcare podcast to hear @drkhan discuss how radiology practices can apply HOPPR in this use case. podcasts.apple.com/us/podcast/rei…

This month on the podcast, @drkhan, CEO and co-founder of @hopprai, speaks with Dr. M. Christine Stock on how large vision models trained with medical imaging data will help accelerate and improve efficiency and accuracy in medical imaging.

Listen now 🎧
apple.co/49HVQE2

It's almost #ViVE2024! Ted from the HOPPR team is eager to attend @theviveevent and meet with #healthtech peers in LA starting this Sunday through next Wednesday.

Don't miss @drkhan discuss on @Health2047's podcast how HOPPR set out to make it easier for organizations to build AI applications by fine tuning our foundation model.

Listen to the episode, “Reimagining Medical Imaging through AI,” on Apple, Spotify, and Google podcasts.

Will you be at #ViVE2024 Feb 25-28? Ted from the HOPPR team will be attending @theviveevent in LA and is excited to connect with other #healthtech leaders.

Check out this article written by @gcgarvey for @AmerMedicalAssn to hear @drkhan share how HOPPR is improving the way physicians interact with medical images. ama-assn.org/practice-manag…

"The most important thing to train a large model is availability of data and how you are organizing the data for training purposes." @drkhan shares HOPPR's approach to developing a foundation model on the SmartHealth Podcast. Listen on Apple Podcasts and Spotify.

How did HOPPR decide to build a foundation model from scratch and train it on vast amounts of medical imaging studies? Listen to @drkhan explain HOPPR's approach on The SmartHealth Podcast:
Apple podcasts.apple.com/us/podcast/sma…
Spotify open.spotify.com/episode/0uczEh…

🔊 Excited to share my insights on The SmartHealth Podcast! We’re at the brink of a radiology revolution with @hopprai’s AI-driven medical imaging. A must-listen for those looking to be part of this transformative journey. 🚀 #RadiologyAI #HealthTech #Innovation
open.spotify.com/episode/0uczEh…

HOPPR is heading to San Francisco for the @jpmorgan Healthcare Conference. The team is excited to connect at the conference this Monday through Thursday and learn about new innovations in #healthcare.

Are you going to the @jpmorgan Healthcare Conference Jan 8-11? @drkhan and Ted Schwab from the HOPPR team will be connecting at the conference in San Francisco next week and discussing the latest in #healthcare and #AI.

Happy holidays from the HOPPR team! 2023 was a rewarding year of developing our #MedicalImaging foundation model that we launched last month at RSNA. Stay tuned for more exciting news from HOPPR in 2024.

HOPPR is committed to responsible AI practices. Our Foundation Model, Grace, was developed with a quality and privacy-centric approach using healthcare industry standards such as ISO 13485.

After fine-tuning the HOPPR Foundation Model, organizations can develop applications that enable users to converse with #MedicalImaging studies about findings, alternative imaging views, workflow improvements, billing, and coding.

Learn more at hoppr.ai/use-cases

How does HOPPR improve upon current #MedicalImaging #AI solutions?

While many are static and lack integration with broader patient context, HOPPR enables cross-modality comparison, historical & contextual perspective, and real-time prompt & recall.