This article provides a comparative review of leading AI software for veterinary radiology, identifying Vetology as one of the top six solutions currently available for streamlining diagnostic workflows.
This article identifies SignalPET as a leading AI platform in veterinary radiology, highlighting its practical clinical implementation and ability to integrate directly into veterinary workflows. It emphasizes the company's focus on usability and real-time analysis as key differentiators in the market.
The article provides a five-step guide for veterinarians on how to handle discrepancies between AI radiology reports and clinical impressions. This helps users integrate the company's AI tool effectively into their diagnostic workflow.
The article highlights the benefits of automatic AI screening for every radiograph compared to traditional teleradiology. It emphasizes the company's unique value in providing continuous, automated diagnostic support.
Vetology provides a guide on identifying three commonly overlooked feline thoracic radiograph findings. This content reinforces the company's position as an expert resource for veterinary diagnostic imaging.
This guide outlines a 30-day plan for clinics to integrate Vetology's AI radiology tools into their daily operations. It serves as a practical resource for improving user adoption and clinical efficiency.
A study scrutinized various veterinary AI radiology tools, including Vetology's. CEO Dr. Seth Wallack responded by defending the company's transparency and the need for larger, more robust datasets for AI validation.
The article provides a plain-language guide for veterinarians to interpret the performance metrics of the company's AI condition classifiers. This transparency helps build trust and confidence in the platform's diagnostic outputs.
Vetology has expanded its public AI validation dashboard to include 11 performance metrics across 89 conditions. This update enhances the platform's transparency and demonstrates the company's commitment to rigorous statistical validation.
Vetology has appointed Pierre D'Amours as the new Director of Sales to lead the expansion of its AI radiology services. This leadership change is intended to drive growth and market reach for the company.
The article discusses how the company's automated radiology support integrates seamlessly into veterinary workflows without requiring manual case selection. This reinforces the product's ease of use and efficiency for clinical staff.
Vetology set a new industry standard by becoming the first veterinary imaging AI company to publicly release comprehensive performance metrics for its classifiers, emphasizing transparency in diagnostic accuracy.
Vetology has partnered with CoVet to integrate visit notes directly into teleradiology requests. This integration aims to streamline veterinary radiology workflows and improve the speed of patient care.
Vetology integrated its platform with CoVet to automate the transfer of visit notes into teleradiology requests, aiming to reduce manual entry and accelerate patient care.
This article explains key data science metrics like sensitivity and specificity in the context of veterinary AI diagnostics. It helps users better understand the reliability and performance of the company's AI tools.
Vetology partnered with UK-based VetIT to expand the availability of its AI-driven diagnostic imaging and teleradiology services to veterinary practices across the UK and Europe.
Headlines surfaced and scored by PortcoMonitor. Get the full, ranked feed + a daily briefing →