San Diego, April 1, 2023. Vetology.ai now pushes its 5 minute Virtual Radiology reports to more PIMS systems adding automatic report importing for DaySmart and RocketPACS to its growing list of PIMS integrations. Besides email, text message, and report display directly in the DICOM viewer and through Vetology’s website access, direct PIMS integration gives your clinic another way to easily integrate Vetology AI into your practice without changing workflow.
Per Eric Goldman, President of Vetology AI, “Our goal with the Vetology AI product is to integrate directly into a practices’ current workflow. Everyone is too busy to go searching for reports. It is up to us at Vetology AI to provide our report information when and where veterinarians want to view it.”
Vetology.ai strives to remove complexities to leveraging these technologies.
Contact us for a demo! We look forward to learning how we can help.
Thiago Rinaldi Müller, Mauricio Solano, Mirian Harumi Tsunemi
The use of artificial intelligence (AI) algorithms in diagnostic radiology is a developing area in veterinary medicine and may provide substantial benefit in many clinical settings. These range from timely image interpretation in the emergency setting when no boarded radiologist is available to allowing boarded radiologists to focus on more challenging cases that require complex medical decision making. Testing the performance of artificial intelligence (AI) software in veterinary medicine is at its early stages, and only a scant number of reports of validation of AI software have been published.
The purpose of this study was to investigate the performance of an AI algorithm (Vetology AI®) in the detection of pleural effusion in thoracic radiographs of dogs.
The application of this technology in the diagnostic interpretation of thoracic radiographs in veterinary medicine appears to be of value and warrants further investigation and testing.
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Eunbee Kim, Anthony J. Fischetti, Pratheev Sreetharan, Joel G. Weltman, Philip R. Fox
Application of artificial intelligence (AI) to improve clinical diagnosis is a burgeoning field in human and veterinary medicine. The objective of this prospective, diagnostic accuracy study was to determine the accuracy, sensitivity, and specificity of an AI-based software for diagnosing canine cardiogenic pulmonary edema from thoracic radiographs, using an American College of Veterinary Radiology-certified veterinary radiologist’s interpretation as the reference standard.
Findings supported using AI software screening for thoracic radiographs of dogs with suspected cardiogenic pulmonary edema to assist with short-term decision-making when a radiologist is unavailable.
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Join the clever minds behind the Veterinary Innovation Podcast – Shawn Wilkie, CEO of Talkatoo and Dr. Ivan Zak, CEO of Veterinary Integration Solutions – as we discuss veterinary radiology with our own Dr. Seth Wallack, DACVR.
One of the largest issues in veterinary radiology today is an incredibly high caseload. Radiologists in North America consult on 2.5 million cases per year, and that number is projected to more than double within the next three years. With fewer educational opportunities available in radiology, how can this vital specialization keep up with the demand?
This week on the Veterinary Innovation Podcast, Shawn and Ivan speak with Dr. Seth Wallack, the founder and CEO of Vetology, about how artificial intelligence can improve the workflow of clinical radiologists, whether we’re too late in adopting it, and how the best veterinarians are those who are most eager to learn.
More from this podcast and Episode: Click to read more