Welcome to CurveBeam AI Cast, where we talk with doctors and experts in the field discussing innovations and insights into orthopedic imaging.
CurveBeam AI Cast
Claim This Podcastby CurveBeam AI
46 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
Podcast Overview
Welcome to CurveBeam AI Cast, where we talk with doctors and experts in the field discussing innovations and insights into orthopedic imaging.
Language
🇺🇲
Publishing Since
3/26/2019
2 verified contact emails on file for CurveBeam AI Cast
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
October 22, 2025
Patient Care and Orthopedic Innovation in the Age of AI: Why Human Skill Still Outweighs Robotics
Dr. H. Kurtis Biggs explores the future of orthopedic innovation, including advancements in robotics, AI, and imaging and why patient-centered care still matters most.
August 14, 2024
How InReach CT has Sped up the Pace of Research at the University of Arizona Hand Research Laboratory
<p>The integration of cone beam CT imaging in research labs is revolutionizing orthopedic investigations. Dr. Zong-Ming Li, PhD, David Jordan, and Trevour Greene from the University of Arizona discuss the transformative impact of the InReach CT system from CurveBeam AI on their work. The Hand Research Laboratory at the University of Arizona focuses on solving orthopedic-related clinical problems, including carpal tunnel syndrome and arthritis. The lab is equipped with various biomechanics tools, motion analysis systems, and two ultrasound machines, providing comprehensive facilities for their research.</p><p>The introduction of the InReach CT system has significantly streamlined their workflow, allowing for immediate scanning without the constraints of clinical CT schedules. This flexibility enables the lab to conduct detailed biomechanical experiments, scanning both cadaveric and, eventually, human subjects with high resolution and low radiation dose. The convenience and ease of use of the InReach system have accelerated their research, allowing for quick quality control and immediate re-scanning if necessary.</p><p>This episode highlights:</p><p>The unique capabilities and comprehensive equipment of the Hand Research Laboratory.</p><p>The benefits of the InReach CT system, including its low maintenance, flexibility, and high-resolution imaging.</p><p>The application of their research findings to clinical settings, potentially improving diagnostic accuracy for joint space analysis.</p><p>Dr. Li, Jordan, and Greene have established a dynamic research environment at the University of Arizona, leveraging advanced imaging technologies to further orthopedic research. Their work with the InReach system from CurveBeam AI exemplifies the transformative impact of innovative medical imaging tools on scientific investigations and clinical applications.</p>
January 4, 2024
The Evolution of Orthopedic Technology and PeekMed's Role in Streamlining Surgical Processes
Explore cutting-edge orthopedic technology with PeekMed's CEO, João Pedro Ribeiro, innovative surgical planning solutions.
46 total episodes available
Deep-dive analytics for CurveBeam AI Cast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is CurveBeam AI Cast?
- How often does this podcast release new episodes?
This podcast updates weekly.
- Where can I listen to this podcast?
This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.