Five Fascinating Veterinary Radiology Cases with Specialist and AI Insights

Sharpen your ability to recognize subtle signs, build better differentials, and make more confident clinical decisions.

Welcome, curious minds!

Radimal Case Rounds is where veterinary professionals come together to explore the most compelling and complex cases our radiologists encounter. Get ready to put your diagnostic hat on – we’ll follow the clues from history to imaging to interpretation, uncovering the story behind each case.

🔍 This Session: Interpreting Five Small Animal Cases with AI and specialist insights

In this round, we’ll walk through five real-world small animal cases: a greenstick fracture in a puppy, congestive heart failure in a senior dog, a pregnant patient with incidental findings, a small intestinal obstruction, and an aggressive bone lesion with stifle degeneration.

Each case includes AI-generated and/or board-certified specialist radiology reports. Together, we’ll walk through the case history, review the imaging, and break down the thinking behind each interpretation to see how these approaches work together in clinical practice.

If you love digging into details, spotting patterns, and solving diagnostic puzzles, this session was made for you. Join a community of curious veterinary professionals who thrive on clinical challenges and fresh perspectives!

Learning Objectives

  • Identify key radiographic findings in a variety of small animal cases, including orthopedic, gastrointestinal, cardiovascular, and reproductive presentations.
  • Describe how imaging findings relate to clinical history and presenting signs in each case.
  • Compare and interpret radiology reports generated by AI and specialists, noting areas of alignment and divergence in terminology, detail, and clinical relevance.
  • Assess how imaging results can inform diagnostic priorities, treatment planning, and communication with pet owners.
  • Reflect on the role of AI-assisted tools in supporting radiographic interpretation within the context of veterinary practice, without replacing clinical judgment.

This program has been approved (20-1295222) for 1 hour of continuing education credit for veterinarians and veterinary technicians/technologists in jurisdictions that recognize RACE approval.

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  • Andrew Weissman, VMD, DACVR

    Co-Founder of Radimal

    Dr. Andrew Weissman is a veterinary radiologist and co-founder of Radimal, a service that offers DACVR board-certified specialist consultations, AI-powered “Initial Assessments”, and comprehensive radiology workflows for veterinary teams.

    Dr. Weissman earned his VMD from the University of Pennsylvania School of Veterinary Medicine after completing a Bachelor of Science degree at the University of Delaware. He then completed an internship in Small Animal Medicine & Surgery at Ocean State Veterinary Specialists, followed by a residency in Radiology at Tufts Cummings School of Veterinary Medicine.

    In 2014, Dr. Weissman joined the radiology team at Red Bank Veterinary Hospital in Tinton Falls, NJ. Along with his brother Alan, he co-founded Radimal to support and ease the workload of his veterinary colleagues by leveraging AI for rapid and reliable radiology assessments.