Explore peer-reviewed publications, technical reports, and scholarly work produced by CyberClinic Institute researchers in artificial intelligence, cybersecurity, digital health, health informatics, and emerging healthcare technologies.
CyberClinic Institute Research Team
Journal of Health Informatics
This study evaluates explainable machine learning models designed to improve clinician trust, diagnostic accuracy, and transparency in AI-assisted healthcare environments.
CyberClinic Security Laboratory
Healthcare Cybersecurity Review
A comprehensive framework integrating HIPAA Security Rule requirements with NIST Cybersecurity Framework and NIST SP 800-53 security controls.
Digital Health Research Group
Digital Medicine
Examines how telehealth, remote patient monitoring, and mobile health technologies influence healthcare accessibility and equity.
Health Informatics Laboratory
Journal of Biomedical Informatics
An evaluation of FHIR implementation strategies supporting secure, interoperable electronic health records.
Behavioral Health Research Team
Journal of Mental Health Informatics
Explores AI-assisted approaches for early identification of depression, anxiety, and behavioral health disorders.
Population Health Analytics Team
Public Health Informatics
Investigates machine learning techniques for predicting disease trends and improving public health decision-making.
Medical Education Innovation Laboratory
Medical Education Technology
Evaluates large language models as adaptive learning assistants in undergraduate and graduate medical education.
Precision Medicine Research Group
Precision Healthcare
A review of predictive modeling approaches integrating genomic and clinical information for personalized healthcare.