AIIMMS Mission

Transforming Emergency Care Through Artificial Intelligence

AIIMMS was founded to address one of healthcare's most challenging environments: the code blue event. By combining computer vision, natural language processing, and clinical decision support, we help healthcare teams improve documentation accuracy, reduce cognitive burden, and focus on what matters most—saving lives.

Our Team

Built by Engineers,
Guided by Clinicians

AIIMMS brings together expertise in artificial intelligence, healthcare innovation, clinical workflows, and medical technology development to improve emergency care when every second matters.

Wiley Tam

Wiley Tam

Co-Founder

Wiley specializes in machine learning, computer vision, and medical image analysis. As an electrical and computer engineer graduate, he focuses on the technical aspects of product development and AI deployment for AIIMMS.

Katherine Barron

Katherine Barron

Co-Founder

Katherine bridges the gap between clinical reality and advanced technology. As an Anesthesiologist Assistant, she leverages her frontline experience in high-stakes environments to spearhead AIIMMS’s product development, user feedback loops, and strategic business growth.

Brian Courtney

Dr. Brian Courtney

Clinical Advisor

Dr. Courtney is an Interventional Cardiologist at Sunnybrook Health Sciences Centre and a veteran medical technology innovator. Serving as our Principal Investigator, he provides deep clinical oversight, guides our validation strategies, and ensures the AIIMMS platform meets the rigorous demands of real-world emergency and cardiac care.

Our Values

Principles That Guide Every Decision

AIIMMS is built around a simple belief: technology should enhance clinical care without compromising trust, safety, or transparency.

Patient-Centric Innovation

Every feature begins with a single question: how does this improve patient outcomes during high-stakes emergencies?

Clinical Transparency

AI recommendations should be understandable, explainable, and auditable. Clinicians remain at the center of decision-making.

Uncompromising Data Privacy

Protecting patient information is foundational. We design our systems around privacy, security, and regulatory compliance from day one.

Evidence-Based Development

We validate our technology through clinical collaboration, real-world feedback, and measurable outcomes.

Ethical AI

Artificial intelligence should augment human expertise, reduce cognitive burden, and support clinicians without replacing clinical judgment.

Continuous Improvement

Healthcare evolves rapidly. We continuously learn from clinicians, hospitals, and emerging research to refine our platform.