Welcoming Dr. John Mattoon, DACVR to Vetology

by Sommer Aweidah | Dec 5, 2024 | News

Vetology Welcomes John Mattoon, DVM, DACVR, as Senior Medical Advisor

FOR IMMEDIATE RELEASE

San Diego, CA – Dec. 5 2024, — Vetology is thrilled to announce that John Mattoon, DVM, DACVR, has joined our team as Senior Medical Advisor. A distinguished veterinary radiologist with over 40 years of experience, Dr. Mattoon will play a critical role in advancing Vetology’s mission to deliver AI-driven imaging tools for the veterinary community.

Dr. Mattoon is widely recognized for his significant contributions to veterinary diagnostic imaging. As the co-editor of the textbook Small Animal Diagnostic Ultrasound and the author of more than 90 publications, his dedication to education and innovation has left an indelible mark on the field. His career spans decades of service as a clinician, educator, and thought leader, making him an invaluable addition to the Vetology team.

In his role at Vetology, Dr. Mattoon will:

Drive Innovation and Education: Support the development of webinars, training guides, and educational resources for veterinarians and radiologists.
Enhance Clinical Expertise: Collaborate with Vetology’s technical and customer service teams to ensure clinical precision and reliability.
Promote Transparency and Metrics: Establish meaningful metrics that foster transparency with radiologists and the American College of Veterinary Radiology (ACVR).

Dr. Mattoon’s guidance will be instrumental as Vetology continues to expand its suite of AI classifiers for canine and feline patients, ensuring that each solution is firmly grounded in clinical excellence. His involvement underscores Vetology’s commitment to integrating the expertise of veterinary radiologists into the development of innovative diagnostic tools, ensuring accuracy and reliability for veterinary professionals worldwide.

“We are honored to have Dr. Mattoon join our team,” said Eric Goldman, President of Vetology. “His extensive experience and unparalleled knowledge in veterinary diagnostic imaging will be a driving force as we continue to innovate and support veterinarians in delivering the highest level of care to their patients.”

Vetology remains dedicated to pushing the boundaries of AI in veterinary medicine while prioritizing clinical precision and patient safety. The addition of Dr. Mattoon reinforces this commitment, ensuring that every tool and resource Vetology offers meets the highest standards of quality and efficacy.

Please join us in welcoming Dr. John Mattoon to the Vetology team. Together, we look forward to advancing veterinary diagnostics and supporting the critical work of veterinarians and radiologists worldwide.

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About Vetology

Vetology is a leading innovator in veterinary artificial intelligence and teleradiology dedicated to enhancing diagnostic confidence and efficiency. Our AI-powered tools and teleradiology services support swift, informed treatment decisions. Vetology combines advanced imaging solutions with strong professional relationships to help veterinary teams deliver exceptional care.

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Good Machine Learning Practices (GMLP) Statement for Vetology’s AI X-ray Screening Tool

by Sommer Aweidah | Dec 3, 2024 | AI Software, reviews2

Good Machine Learning Practices (GMLP) Statement

Vetology is committed to advancing veterinary medicine through innovative technologies. Our AI-powered tool for screening canine and feline X-rays exemplifies our dedication to enhancing diagnostic accuracy and efficiency. This statement outlines our adherence to Good Machine Learning Practices (GMLP) across the development, deployment, and maintenance of our AI model.

US FDA Related Links:

graphic suggesting how the system is trained.

A. Explanation of AI Model Development

Our AI model is developed using a rigorous and systematic process to ensure reliability and clinical relevance.

Data Collection and Preprocessing: We aggregate a diverse dataset of anonymized canine and feline X-rays from various sources to capture a wide range of anatomical variations and pathological conditions. Data is de-identified in compliance with privacy regulations.
Annotation and Labeling: Experienced veterinary radiologists annotate the images, providing high-quality labels that serve as ground truth for training. This ensures that the model learns from expert interpretations.
Model Architecture: We employ state-of-the-art deep learning architectures optimized for image analysis, such as convolutional neural networks (CNNs), to effectively process and interpret radiographic images.
Training Process: The model is trained using supervised learning techniques with hyperparameter tuning to optimize performance metrics like accuracy, sensitivity, and specificity.
Bias Mitigation: We actively identify and mitigate potential biases by ensuring balanced representation across species, breeds, ages, and pathological conditions in the training dataset.

B. Explanation of AI Model Pre-release Assurance of Safety and Effectiveness

Before releasing the AI tool, we conduct comprehensive evaluations to ensure it meets safety and efficacy standards.

Validation Studies: The model undergoes rigorous validation using separate datasets not seen during training to assess its generalizability and robustness.
Performance Metrics: We evaluate key performance indicators, including accuracy, sensitivity, specificity, and area under the ROC curve (AUC), to quantify the model’s diagnostic capabilities.
Clinical Testing: Pilot studies are conducted in clinical settings where veterinary professionals use the tool in real-world scenarios to provide feedback on usability and effectiveness.
Regulatory Compliance: We ensure that our AI tool complies with FDA guidelines for Good Machine Learning Practices.
Risk Assessment: A thorough risk analysis is performed to identify potential failure modes, and appropriate safeguards are implemented to mitigate any identified risks.

C. Explanation of AI Production Model Deployment and Ongoing Monitoring

Upon deployment, we maintain vigilant oversight of the AI tool’s performance and impact.

Integration with Existing Systems: The AI tool is seamlessly integrated into veterinary workflows, ensuring minimal disruption and maximal utility.
User Training and Support: We provide comprehensive training materials and support services to help veterinary professionals effectively utilize the tool.
Performance Monitoring: Continuous monitoring systems are in place to track the model’s performance in real-time, detecting any deviations from expected outcomes.
Feedback Mechanisms: We encourage and facilitate user feedback to identify any issues or areas for improvement, fostering a collaborative environment for refinement.
Data Security: Robust security protocols protect sensitive data during transmission and storage, complying with industry standards for data protection.
- Our Privacy Policy

D. Explanation of AI Device Ongoing Re-training, Modifications, and Versioning

We recognize the importance of keeping the AI model current with evolving medical knowledge and practices.

Periodic Re-training: The model is periodically retrained with new data to incorporate the latest findings and address any drift in performance.
Change Management: Any modifications to the model undergo a structured change management process, including re-validation and documentation.
Version Control: We maintain strict version control, documenting changes between versions and ensuring traceability of updates.
Regulatory Updates: Updates to the model are evaluated for regulatory impact, and we ensure continued compliance with applicable regulations.
Transparency: Users are informed of significant updates or changes to the AI tool, including improvements in performance or functionality.

Conclusion

Vetology is dedicated to providing safe, effective, and reliable AI solutions for veterinary radiology. Through adherence to Good Machine Learning Practices, we strive to enhance diagnostic capabilities while maintaining the highest standards of quality and ethics.

New Release: Features of our AI-Radiology Reports for the Feline Abdomen

by Sommer Aweidah | Oct 2, 2024 | AI Software

We’re excited to introduce our newest addition to the Vetology suite:

This new release takes our AI Radiology Reports to the next level by automating the analysis of feline abdominal radiographs.

Introducing Enhanced AI-driven Conclusions

This enhancement enables our AI to deliver richer, more detailed conclusions in the familiar style of a boarded radiologist’s report, offering actionable insights on screening results. As part of our feline abdomen release, AI report conclusions will include suggested next steps and differential diagnoses when appropriate, providing additional context to the report’s findings.

At Vetology, our AI is continuously evolving. Your feedback — both in-app and in-person — plays a vital role in shaping regular updates and improvements.

In the coming months, you can expect to see matching updates and richer conclusions in our canine abdomen reports.

Summary of the conditions and disease processes (classifiers) included in our Feline Abdomen Automated AI Radiology Reports:

illustration of cat featuring a call out on the feline abdomen

Liver: Hepatomegaly, Hepatic Masses

Spleen: Splenomegaly

Kidneys: Renomegaly (L + R), Nephroliths (L + R)

Urogenital: Urocystoliths, Urethroliths, Mineralized Fetal Skeletons (signs of pregnancy)

Gastrointestinal Tract: Mineral/metal Gastric Material, Gastric Rugal Folds, Megacolon

Peritoneum: Decreased Serosal Detail

Move through the diagnostic pathway more swiftly, and Free up valuable time to spend with patients and owners

By offering more contextual observations and fast screening results, our AI acts as a second set of eyes to confirm your own findings and boost your confidence in diagnostic and treatment planning for your patients.

Imagine This:

You’ve just uploaded a well-exposed, well-positioned feline abdominal radiograph. Before you even move on to your next task, the AI screening report is ready—delivered to you within minutes.

The Best Part?

You didn’t need to change a thing. No extra steps, no software updates. The report appears seamlessly in the platform, linked to your case radiographs, just like all your other Vetology reports.

This Isn’t Science Fiction!

Feline Abdomen AI Radiology Reports are available to all Vetology AI subscribers now! Share the good news (and this email) with your medical team. Log in to Vetology.net below, and see it in action with your first feline abdomen radiograph!

Questions, Training, Demos + More

Vetology – New Release: AI-driven Radiology Reports for the Feline Abdomen

by Sommer Aweidah | Oct 2, 2024 | News

FOR IMMEDIATE RELEASE

SAN DIEGO, CA – October 2, 2024 – Vetology Innovations, LLC proudly announces a significant enhancement to its veterinary artificial intelligence (AI) radiology platform. This latest update automates the analysis of feline abdominal radiographs, improving the quality and efficiency of diagnostic workflows for veterinary professionals.

Dr. Seth Wallack, DACVR, Founder of Vetology, is enthusiastic about this release:

“This marks a pivotal moment for Vetology. Our virtual radiologist AI journey through the canine thorax, canine abdomen, and feline thorax has culminated in what we believe to be another great radiology AI screening evaluation release: the Vetology Feline Abdomen. We hope you agree that the feline abdomen screening evaluation will be a great first step in evaluating your feline patients and will complement our excellent teleradiology service. A BIG thank you goes out to the entire Vetology team who spent too many sleepless nights and long weekends enriching the depth and clarity of our feline abdomen AI reports. The entire Vetology team is committed to patient care as a core value, central to all Vetology’s services and innovations.”

The new AI-driven feature goes beyond automation by delivering richer, more detailed conclusions formatted in the style of a boarded radiologist’s report. This enhancement provides actionable insights drawn from its screening results, including suggested next steps and differential diagnoses when applicable.

Eric Goldman, President of Vetology, emphasized the impact of this development:

“At Vetology, we deeply value our partnerships with veterinary teams. This new update leverages over a decade of our own teleradiology data to understand the areas where an artificial intelligence screening report can benefit veterinarians the most. I’m thrilled to have the opportunity to assist our customers in delivering excellent service to their patients!” He went on to say: “I would like to extend my thanks to the entire Vetology Team for their passion and dedication to delivering a quality offering that is focused on our core principles of improving animal health.”

Dr. Andrew Fox, Chief Medical Officer, affirmed that:

“Looking ahead, Vetology will extend these advancements to canine abdominal classifiers, ensuring a consistent experience across both species.” He added: “Our careful expansion of the product suite demonstrates our strong dedication to patient safety. As a crucial element in this ongoing commitment, our team actively seeks and places real value in rigorous academic peer reviews.”

Cory Clemmons, Chief Technology Officer, emphasized the role of integrating input from radiogogists in the approach behind the release:

“We are excited to extend our platform to support both feline and canine abdominal radiographs. The integration of detailed, context-rich conclusions will transform how veterinarians incorporate these reports into their clinical approach. We are proud of the efforts invested to enable our AI to offer appropriate, relevant guidance, in support of informed and confident decision-making.”

Vetology AI subscribers can now access the new Feline Abdomen AI Radiology Reports as part of their existing subscription, which also includes coverage for Canine Thorax, Canine Abdomen, and Feline Thorax. Vetology offers unlimited reports for a low monthly fee to help veterinary teams expedite their diagnostic workflows, allowing more time to focus on the patient and reduce diagnostic costs for the owner.

In addition to the continued effort related to developing AI classifiers for the complete companion animal, Vetology remains committed to providing boarded radiologist reports for conditions and cases not covered by our AI solutions. This dual approach ensures that veterinary practices receive the benefits of advanced AI technology with expert human analysis.

For more information on how Vetology’s AI-driven radiology reports and boarded radiologist services can support your practice, visit Vetology.ai to contact us.

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ABOUT VETOLOGY

Vetology is a leading innovator in veterinary artificial intelligence and teleradiology, dedicated to enhancing diagnostic accuracy and efficiency. Our AI-powered tools and teleradiology services support imaging diagnostics, streamlined workflows, and enables veterinarians to make informed treatment decisions swiftly. Vetology combines advanced AI solutions with strong professional relationships to help veterinary teams deliver exceptional care.

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PODCAST – AI-Driven Teleradiology

by Sommer Aweidah | Sep 19, 2024 | AI Software, Podcasts, reviews2

Join the clever minds behind the Veterinary Innovation Podcast – Shawn Wilkie, CEO of Talkatoo, and Dr. Ivan Zak, CEO of Veterinary Integration Solutions – as they sit down with our own Dr. Seth Wallack, DACVR, founder and CEO of Vetology to explore the integration of artificial intelligence and teleconsulting in radiology.

In this episode, they discuss AI-driven teleradiology, which helps veterinarians receive faster preliminary reports, streamlines decision-making, and boosts radiologists’ efficiency.

Dr. Wallack highlights that Vetology’s AI assists by providing initial insights and supporting veterinarians without replacing their clinical judgment or changing existing workflows. Veterinarians can use these AI-generated reports to make informed treatment decisions or request further consultation from a radiologist.

Topics Covered in the Conversation

AI-Enhanced Teleradiology
Quality Control and Workflow Integration
Upcoming Innovations

Read the Full Article on Today's Veterinary Business

This article was originally published on October 1, 2022

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