Thrilled to welcome @ZviBaratz to Quantivly's Harmonization team! His Python expertise and leading role in the DICOM Labbing Project herald a vibrant future for our digital twin of #radiology operations. The future of harmonization just got brighter! 🎉
Quantivly retweeted
Thanks Applied Radiology for sharing Quantivly's expansion beyond MRI to RIS-HL7 and CT, and our roadmap to build the #digitaltwin of radiology operations. 2023 is going to be a big year!
appliedradiology.com/communi…
Listen to our co-founder @bobby_quantivly discuss how @quantivly is achieving its mission to help radiology leaders increase access to imaging, achieve operational excellence, and deliver on the promise of patient-centered healthcare with #digitaltwins and #ai.
Listen to @bobby_quantivly from @quantivly talking about optimizing operations of #radiology department with #digitaltwins in the latest episode of "AI-ready Healthcare". Available in Apple Podcast, Google Podcast, Spotify & here:
anchor.fm/anirban-mukhopadhy…
#RSNA2022 is coming fast! Pre-book a time to meet us in Chicago to learn what's new and how we are reshaping radiology operations:
calendly.com/quantivly-rsna/…
Great primer on the potential of #digitaltwins to model complex systems in software. @quantivly, we are building the digital twin of radiology operations - a task that requires domain knowledge, data assimilation and state of the art AI/ML.
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Quantivly retweeted
Great insights from Paul Smereka @NYUImaging on how difficulty following breathing instructions is a major factor contributing to increased scan time and decreased scanner efficiency.
radiologybusiness.com/node/2…
What do we do about it? 1/2
Quantivly retweeted
This piece strongly resonates with our thinking at Quantivly in building provider (and by extension patient)-centered solutions to operational challenges. We are working to unlock data liquidity to empower providers to access their own data and build Operational Intelligence.
*Provider Enablement*
@virtue_vc we expect cos that embrace a provider-focused approach & build technology to augment their skills and abilities (not replace!) will be some of the biggest winners in the coming decade.
ty @statnews for letting me share!
bit.ly/3NBs1uO
Interesting work on dataset shift!
New didactic review: Preventing dataset shift from breaking machine-learning biomarkers
academic.oup.com/gigascience…
Big picture on dataset shift in machine learning for non-specialists.
Intuitions on why handling "nuisances" in machine learning differs from standard statistics.
1/7
Agree! Great paper @MGHImaging @AcadRadiol
At @quantivly we help our partners monitor adoption and time-savings of novel accelerated protocols, so that you can quantify business impact in just a few clicks, without manual logs.
#radiology #Analytics
radiologybusiness.com/topics…
Agree. We love #python typing and data validation with #pydantic at Quantivly
towardsdatascience.com/8-rea…
Our Founder/CEO @benoitscherrer will be talking at SIIM today, showing how unlocking operational data and data-driven strategies were key to reducing sedation during MRI.