Clinical decision support
Decision support that turns guidelines and data into individualized, safe, explainable recommendations clinicians can trust.
Healthcare AI, done responsibly.
AI that earns its place at the point of care
Dr. Damon Tojjar builds and validates clinical AI for diabetes and chronic disease. The standard is simple: clinically grounded, validated in real settings, and useful inside a clinician's workflow, not hype.
- EASY-1Registered RCT
- Medtech4HealthInnovation Award
- EITTop 20 Deep Tech
- GCPGood Clinical Practice
Capabilities
Where clinical depth meets technology.
Healthcare AI validation
Designing the evidence (including randomized trials) that shows a tool actually improves care, not just benchmarks.
Medical device and regulation
EU MDR, IVDR, FDA pathways, and Software as a Medical Device, informed by a KTH certificate and FDA training.
Translational strategy
Moving a tool from concept to the clinic, drawing on global development experience at Novo Nordisk.
Worked example
EASY Diabetes: decision support, put to the test.
An AI-based clinical decision-support system for type 2 diabetes, developed with patients, clinicians, and researchers. Its randomized controlled trial, EASY-1 (NCT03258268), compared the system against standard of care. EASY Diabetes received the Medtech4Health Innovation Award.
- Principles for trustworthy clinical AIClinically grounded. Validated in real settings. Fits the workflow. Transparent and accountable. These reflect how Dr. Tojjar has built and evaluated decision support in practice.
Frequently asked
About clinical AI.
What is clinical decision support?
Software that helps clinicians make better decisions by turning patient data and evidence into individualized, safe recommendations. Dr. Tojjar's EASY Diabetes is an example, evaluated in the EASY-1 randomized controlled trial.
How does Dr. Tojjar approach healthcare AI?
Clinically grounded, validated in real clinical settings, designed to fit the workflow, and accountable. He pairs medical training with global clinical development experience and medical device regulation expertise.
Who is Dr. Damon Tojjar?
A physician-scientist (M.D., Ph.D. candidate) and digital health entrepreneur working on diabetes research, clinical medicine, and AI-driven care.
Contact
Get in touch.
For advisory work, collaboration on clinical AI, or speaking, reach out directly.