Artificial Intelligence in Healthcare
Developing responsible AI solutions that improve clinical decision-making, diagnostics, workflow automation, and patient outcomes.
CyberClinic Institute conducts interdisciplinary research at the intersection of healthcare, technology, cybersecurity, artificial intelligence, and public health. Our research focuses on developing practical, evidence-based solutions that improve patient care, strengthen healthcare systems, and advance digital innovation.
Developing responsible AI solutions that improve clinical decision-making, diagnostics, workflow automation, and patient outcomes.
Protecting healthcare systems, electronic health records, connected medical devices, and critical infrastructure through modern cybersecurity practices.
Advancing the collection, management, interoperability, and analysis of healthcare data to improve quality, safety, and operational efficiency.
Evaluating digital platforms, remote care technologies, virtual health services, and patient engagement tools.
Investigating technology-supported approaches to mental health, behavioral interventions, accessibility, and digital therapeutics.
Applying evidence-based methodologies to evaluate healthcare interventions, population health, and patient outcomes.
Studying health disparities, preventive care, community health initiatives, and equitable access to healthcare services.
Exploring innovations including wearable devices, Internet of Medical Things (IoMT), robotics, cloud computing, and precision medicine.