Cornell University Chooses Radimal for Veterinary Imaging Support and AI Integration

Cornell University Partners with Radimal for Enhanced Veterinary Imaging

Cornell University College of Veterinary Medicine has taken a significant step forward in veterinary education and imaging services by selecting Radimal as its preferred imaging provider. This collaboration comes in response to the increasing demand for imaging services at Cornell, which currently handles over 21,000 imaging cases a year, with more than 2,000 cases added in the last year alone.

Radimal, known for its innovative approach to veterinary radiology, integrates artificial intelligence (AI) with board-certified specialist consultations. The partnership aims to alleviate the mounting pressure on Cornell’s radiologists, particularly during emergency situations that require timely imaging support. With this collaboration, residents can enjoy reduced overnight calls for radiographs, allowing them to focus more on learning and patient care.

Dr. Peter V. Scrivani, who oversees the Imaging section at Cornell, highlighted the value of this partnership: “We still provide in-house consultations, but the case volume is growing. Radimal complements our workflow, and our residents are no longer being woken up for every radiograph.” He emphasizes that as AI technologies become more ingrained in veterinary practice, it's crucial to work with partners like Radimal that are proactive and flexible in their approach to integrating these advancements into education.

Dr. Meg Thompson, a Clinical Professor of Diagnostic Imaging, praised Radimal’s platform for its user-friendly nature, especially important for managing large caseloads daily. “It is a very easy program to use...When you're handling 50 cases a day, that makes a big difference,” she said. The contemporary design of Radimal’s platform resonates particularly well with students, making it easier for educators to teach essential skills they will need in their future practice.

The integration of Radimal's AI into the curriculum has also proven beneficial. During student case rounds, Dr. Thompson uses Radimal’s AI reports to enhance the learning experience: “We review the AI report, look at the heat map, and compare its findings to our own...It’s a practical way to help students learn how to interpret, question, and work with AI.” This hands-on approach is beneficial in preparing the next generation of veterinarians to harness technology effectively in their practice.

Alan Weissman, Co-Founder of Radimal, expressed pride in the partnership, stating, “We’re incredibly proud that Cornell has chosen Radimal. It’s an honor to support such a respected institution – and a sign of trust that leading radiologists are using our platform to improve care and train the next generation.”

In conclusion, this collaboration between Cornell University College of Veterinary Medicine and Radimal not only signifies a commitment to improving veterinary diagnosis and patient care but also sets a precedent for the integration of AI technologies in veterinary education. As both institutions continue to innovate, they are poised to make meaningful contributions to the future of veterinary medicine.

For more information about Radimal and its veterinary radiology solutions, visit Radimal's website. To learn more about Cornell University College of Veterinary Medicine, check out their official site here.