Interview With the SignalPET Team

SignalPET, which was founded in 2018, uses AI and machine learning technology to analyze radiographs and standardize interpretation, which helps to reduce interpretation errors, increase film utilization, and reduce radiology consultation costs. At Western Veterinary Conference (WVC) 2024, we sat down with Lior Kuyer, SignalPET co-founder and CEO; Nitay Gold, Chief Commercial Officer; and Daniel Levenson, DVM, owner of two general practices in Albuquerque, New Mexico that uses their technology.

Can you give us an overview of SignalPET?

Nitay Gold (NG): SignalPET is on a mission to provide veterinary clinicians with instant support and diagnostic results to clinical questions at the point of care. We started with radiology, and the future is to provide other clinical answers to support clinicians across the board of diagnostics.

Today, we are the only company to provide an end-to-end solution for radiograph interpretation, instant AI reports and a full report made by specialists. AI technology is connected to the X-ray machine and runs through plain films to provide the interpretation directly to the veterinarian. However, AI doesn’t consider the clinical case history, and sometimes can’t provide the full picture. This is when human expertise is needed, and we developed a system to integrate AI and human expertise to provide the full report clinicians need.

SignalPET invented and patented this technology, and we are leading the market. We have more than 2,300 clinics and 6,000 clinicians using our system, and we analyze 70,000 studies a month. We compete directly with vendors such as IDEXX and AnTech.

What markets are you currently in?

NG: We provide service to companion animal veterinary practices globally. Our largest market is the U.S. and Canada, and we are also strong in Europe, which accounts for close to 15% of our revenue. We have clients in Australia and New Zealand and recently branched into Singapore and Hong Kong.

How many people are on your sales team?

NG: The company has 120 employees, with a large development team in Israel responsible for research and development. The sales team consists of around 20 people based in Dallas, Texas.

Dr. Levinson, can you tell us about your role in SignalPET?

Daniel Levinson, DVM (DL): I have two small animal and exotic pet hospitals in Albuquerque, New Mexico. I don’t work for SignalPET, but we were an early adopter of their technology. We also collaborated to do beta testing, experimenting with the technology and its use in our clinics. After we taught our staff how to use the technology, we provided feedback to SignalPET about how it worked on the front lines.

How did you hear about SignalPET initially that made you want to apply it in your clinic?

DL: I first heard about it through information via email. I wasn’t that interested at first, but I found out that a classmate and friend, Dr. (Neil) Shaw, is one of the founders, so I called him to find out more. After talking to him, I decided to try it.

What difference has SignalPET and its technology made to your practice?

DL: We’ve incorporated it as a wellness screening test to look for underlying and early onset problems. We also use it on sick pets, because we get a full diagnostic report on every radiograph we submit at an affordable price.

What was your prior experience with artificial intelligence?

DL: I didn’t have any experience with this type of technology. I’ve been out of school for 30 years, and I’m pretty old fashioned. I also feel like I’m pretty good at reading X-rays, since I’ve read so many, so I was hesitant to incorporate this technology. However, it really does enhance what we do and makes us better veterinarians. It’s a platform that allows us to show owners what’s going on with their pet and start the conversation about preventive care. It doesn’t replace me or the radiologist. It makes us better communicators and helps improve our patients’ health.

What has been the response from your clients?

DL: We keep the price extremely reasonable, and they are impressed that we have state-of-the-art technology to evaluate their pet, especially when we provide a professional, medically oriented report. I now have owners calling specifically to schedule an appointment for screening radiographs, because their friend or neighbor had it, or they got a new dog.

Lior, what input do you have about SignalPET?

Lior Kuyer (LK): AI utilizes cognitive processes that we own so that we can focus on other things. For example, I’m a good driver and a good navigator, but I still use the systems my car offers, such as GPS, so that I can focus on driving. In the same way, SignalPET allows veterinarians to focus on practicing better medicine.

Veterinarians can rely on SignalPET 100% of the time, and the answers are immediate. The report can either confirm what you already know or highlight areas you didn’t consider. We thrive on combining technology and veterinary expertise to elevate the standard of care. This system also reduces the immense pressure veterinarians experience every day.

DL: Whether you’re a seasoned veterinarian or a new graduate, this technology backing up your diagnosis is extremely helpful. I still evaluate every X-ray, and I ensure the report I receive is accurate. I don’t just download the report and hand it to the client. That’s not how this works. The technology takes away the pressure and cognitive time, so we can be better practitioners.

Could you describe SignalPET’s products?

LK: The first product we developed was SignalRAY, which focuses on image analysis. It interprets over 60 different findings that are common in the heart, abdomen, lungs, and musculoskeletal, urogenital, and digestive systems. SignalRAY doesn’t connect other data points, such as history or blood work. 

Moving beyond image interpretation, we launched SignalSTAT earlier this year, which connects the dots, looking at imaging, history, and other data points to provide differentials and treatment recommendations and conclude a full report that is reviewed by a veterinary specialist. We are currently looking at ways to make the technology less expensive, with a faster turnaround time.

We also have SignalSMILE, which interprets common dental abnormalities.

How does someone implement SignalPET into their clinic?

LK: People must be able to digitize their X-rays and have internet access. The onboarding process is straightforward and usually takes only two to three minutes. The platform walks you through the process and explains what to expect. We try to interfere as little as possible with the clinic’s existing workflow. 

What languages are available?

LK: Since we see that veterinarians across the world are not struggling with English, we kept the main system in English only. However, the client report which helps clinicians communicate the radiographic results is available in any language, such as French, Spanish, Portuguese, etc.