Paving the way for AI-assisted surgery

Paving the way for AI-assisted surgery

Don’t miss our latest articles on how organizations like yours are leveraging Flywheel to maximize the value of their imaging data.

Register for this webinar featuring Shelby Wyatt & Mike Maker to learn how life sciences organizations are converting complex imaging data into analysis-ready datasets to propel medical imaging research, boost efficiencies and accelerate drug discovery. 

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Webinar: Advancing MedTech Innovation & Efficiency

Explore how to transform the chaos of siloed imaging data into a symphony of information in this webinar featuring speakers from Johnson & Johnson MedTech , Microsoft , NVIDIA and Flywheel.io . Discover how to harness your data, unlock innovation with AI and elevate patient care. 


RSNA Panel: Harnessing Technology to Maximize the Value of Imaging Data for Accelerated Research

Attending RSNA? Register to hear our panel talk featuring Dr. Sachin Jambawalikar , Chief Medical Physicist in the Department of Radiology, about fueling innovation and supporting researchers in accessing, analyzing and sharing data at Columbia University Medical Center.

Plus, join hands-on sessions about data ingest, curation and compute workflows with NVIDIA in Vendor Workshop 8355, and don’t miss our presentation about how peers are accelerating research in the Innovation Theater. 



Whitepaper: How Imaging Can Drive More Effective Combination Immunotherapy

CD8 imaging has emerged as a powerful tool that can help researchers and clinicians optimize dosage, improve sequencing and improve overall survival in oncology.  

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Webinar: Advancing Neuroimaging and Data Management in Multicenter Studies and Clinical Trials

Hear from Dr. Pratik Mukherjee , Neuroimaging Core Leader for the national TRACK-TBI initiative, about how researchers in the large-scale study have harmonized traumatic brain injury data from multiple scanner types. 


Webinar: Vision Towards Multimodal Foundation Models with Medical Imaging 

Akshay Chaudhari , PhD, shares how the Stanford Machine Intelligence in Medical Imaging research group trained AI with contrastive language image pretraining (CLIP) to outperform GPT4 in drafting radiology reports and predicting diseases. Watch the webinar and explore how these advanced models are transforming radiology AI.

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Find out how your organization can leverage Flywheel to maximize the value of your imaging data.


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