Rad AI Names David Leonard COO and Elizabeth Bergey CCO
Rad AI has appointed David Leonard as Chief Operating Officer and Dr. Elizabeth Bergey as its first Chief Clinical Officer in a press release.
Leonard, formerly Head of Operations, Strategy and Investor Relations at Rad AI, will now oversee global operations. He will focus on scaling internal infrastructure and improving the company’s market strategies to support rising demand for its AI based radiology reporting solutions. Leonard brings decades of experience in technology sectors with a focus on operational efficiency and team development.
Dr. Bergey, previously Chief Medical Innovation Officer, will lead clinical strategy and medical affairs as CCO. A board certified radiologist and former President and CEO of Quantum Radiology, she brings extensive experience in managing radiology practice operations and strategy.
Both executives will join the company’s leadership team to support the expansion of products including Rad AI Reporting, Rad AI Impressions, and Rad AI Continuity, which are designed to improve radiology workflow and patient follow up.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 29 jaam automation Launches M. for Agentic Work Management Sep 29 Airties and Hitron Unveil SMB Connectivity Platform for ISPs Sep 29 Reactive Technologies Launches Nyquist Grid Technology Licensing Program Sep 28 Pearson and Namibox Plan AI Learning Products for Greater China Sep 28 Bank of America Adds Intelligence Hub to AskGPSMore from Life Sciences
Sep 29 University Medical Center Göttingen Adopts MDClone Clinical Data Platform Sep 29 LUNGevity Awards $2 Million for Lung Nodule Risk Studies Sep 28 Deep Longevity to Launch Accrua Telehealth Platform in US Sep 28 United Imaging Intelligence Releases Medical Video AI Framework Sep 28 Orca Dental AI Brings CephX Imaging Tools to Planet DDS Cloud 9Life AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Voxel Appoints Three Executives to Lead Revenue and AI Operations
Jarrard Expands AI Consulting Team
Colorado Imaging Associates and TRA Form Affiliated Radiology
SENA Health Raises Series A for AI Care Coordination
CAEVES Technology Names Kirk Ryan Director of AI Innovation
Daily AI Brief: the AI news that matters, in your inbox.