Veterinary radiology company SignalPET has launched SignalSTAT, a new product that it said seamlessly blends cutting-edge AI technology with human expertise to offer pets the fastest, most thorough care possible.
“We’re committed to ensuring every patient receives a thorough interpretation report. As traditional radiology interpretations experience increased prices or stretched turnaround times to manage demand, SignalSTAT steps in; offering an affordable, guaranteed solution, promptly bridging the gap in care to all patients,” Dr. Neil Shaw, the chief veterinary officer and medical founder of SignalPET, said in a statement.
Available in more than 2,300 clinics, Dallas-based SignalPET said it has created an advanced veterinary X-ray interpretation solution that can assess the most critical, urgent cases with both advanced AI technology and expert human oversight with a guaranteed 45-minute turnaround time, available 24/7.
It said the technology will be exhibited at the upcoming trade show, Veterinary Meeting & Expo (VMX) from Jan. 13-17 in Orlando, Florida.
SignalPET said that using SignalSTAT significantly shortens the time for assessment and delivers a rapid and affordable STAT review for all patients.
According to SignalPET, veterinarians can use the technology to get full interpretation results in less than one hour, 24/7, at a cost-effective price of $75 or less per study. This report mirrors a radiologist report that includes the differentials, recommendations, and next steps.
SignalPET said its technology was created using continuously evolving machine-learning algorithms that get progressively smarter as the tool is used by veterinarians globally.
Veterinary diagnostic imaging specialist Avi Avner highlighted the transformative impact of artificial intelligence (AI) in veterinary medicine. In a statement, Avner emphasized how the synergistic relationship between AI and human expertise can lead to more efficient and effective outcomes in veterinary care. “This technology really shows the extent to which AI can work with humans, rather than against them,” he said, underlining AI’s role in supporting veterinary teams to provide faster, more accurate, and affordable care.
Avner is particularly impressed by the capabilities of AI technologies like SignalSTAT in urgent and critical veterinary cases. He pointed out the challenges veterinarians often face due to time constraints, leading to hurried reviews of urgent cases. “Because of time limitations, veterinarians are often forced to review urgent cases at breakneck speeds, which can lead to incomplete, or a less thorough understanding of the results,” Avner said.
In these scenarios, AI tools like SignalSTAT could play a crucial role by offering quality processes and comprehensive reporting swiftly, potentially increasing survival chances for pets in critical condition. “In these critical cases with only a short period of time to review, SignalSTAT offers essential quality processes and comprehensive reporting in record time — a solution that could, in certain cases, drastically increase the chance of survival for pets in critical condition,” Avner added, highlighting the life-saving potential of AI in veterinary diagnostics.
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