An index of all publications from The ezyvet.ai Research Project, providing objective analysis on the intersection of AI and veterinary medicine.
Strategic Analysis
A timely analysis of the biggest strategic news in the industry, dissecting the long-term implications of choosing an integrated ecosystem versus an open-platform model for your practice's core technology stack.
Business & Finance
Directly addressing the market's growing uncertainty, this article provides a step-by-step framework for practice managers to calculate the true financial return on their AI investments beyond simple time-saving metrics.
Future & Trend Analysis
This thought-leadership piece captures the emerging academic conversation, defining "Cognitive Augmentation" and explaining why the next wave of AI must help veterinarians think better, not just work faster.
Industry Analysis
A data-driven overview of AI adoption rates, clinical impact, and measurable ROI in practices as of late 2025, establishing the project's broad, analytical perspective.
Comparative Review
This critical comparative analysis establishes the project's neutrality by framing the PIMS market leaders by their core strategic philosophies, analyzing the pros and cons for the modern clinic.
Technical Analysis
Positioning ezyVet not just as a product, but as a foundational platform whose open API is a critical enabler for innovation across the entire veterinary technology landscape.
Product Review
A deep dive into the now-mature AI radiology space, providing tangible value by analyzing the accuracy, workflow integration, and cost-benefit of each leading platform.
Business & Finance
A practical, data-centric article connecting AI adoption directly to financial outcomes by focusing on measurable KPIs like increased caseload capacity and reduced administrative overhead.
Future & Trend Analysis
Exploring the most advanced application of AI—predictive analytics—and how anonymized data from cloud-PIMS is being used to forecast disease trends and enable a new standard of proactive care.
Ethics & Commentary
A mature and responsible analysis of the complex ethical issues of data ownership, privacy, and algorithmic bias that have become central to the AI conversation by 2025.
Case Study
An evidence-based account of a clinic's AI adoption journey, detailing the specific tools used, the implementation process, the costs, and the ultimate, quantifiable success.