Bridging the Global Imaging Gap
Transforming imaging access and reducing wait times, one clinic at a time.
Our Mission
We’re reimagining access to diagnostic imaging from booking to interpretation so no one waits weeks for care that should take minutes
Our Story
DyCoVue was born from frontline clinical experience where timely imaging can save lives. Our founder often faced long waits for final reads, making urgent decisions with incomplete information. We created DyCoVue to change that — so patients can get their imaging results or booking confirmations within minutes, not days. Our platform supports both providers and radiologists, ensuring faster, clearer, and more connected care.
Supporting Sustainable Development Goals
DycoVue aligns with several United Nations Sustainable Development Goals (SDGs) by tackling key issues in global healthcare.
SDG 3 – Good Health & Well-being
DycoVue improves access to diagnostic imaging in underserved regions, enabling early detection of diseases like cancerthrough AI-assisted analysis and faster follow-up care
SDG 9 – Industry, Innovation & Infrastructure
We're building scalable digital imaging infrastructure for regions lacking diagnostic tools, while driving innovation through university partnerships and real-time AI deployment.
SDG 17 – Partnerships for the Goals
DycoVue collaborates with hospitals, academic institutions, and governments to deliver scalable diagnostic solutions, offering roles for students, researchers, and public health professionals.
Our Global Impact
Making a difference in healthcare access around the world
Global Reach
Focused on our Lagos pilot, creating an integrated booking platform that connects patients to diagnostics and other essential healthcare services.
Rural Support
Addressing burnout in radiology teams through AI assistance & offline usage
Professional Gap
Tackling health professional shortages in African Nations (e.g. 1 radiologist to 3 million people in Nigeria)
Our Team
Combining clinical expertise with AI innovation to improve health outcomes
Our Advisors
Combining clinical expertise with AI innovation to improve health outcomes
Dr. Chan is an Associate Professor of Mathematical Sciences, and the co-founder of the University of Illinois UIS AI Campus Learning Community. His interdisciplinary expertise bridges advanced mathematics, ethics, and artificial intelligence, with a focus on the evolving role of AI in society. He is passionate about fostering responsible innovation and exploring how AI can equitably shape the future of healthcare, education, and public policy.
Dr. Salisu is a diagnostic and breast radiologist based in Atlanta, GA, with a strong commitment to advancing patient care through high-quality imaging and early detection, particularly in breast cancer diagnostics. Her work sits at the intersection of clinical excellence, global health, and emerging technologies. She is passionate about how AI can reshape healthcare delivery by improving access, accelerating diagnosis, and driving equitable outcomes.
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