Clinical Decision Intelligence
AI-enabled decision support systems that help organize clinical evidence, support reasoning, and improve healthcare workflows.
AI, Cybersecurity & Healthcare
CARE Intelligence Lab
CARE Intelligence Lab advances research at the intersection of artificial intelligence, cybersecurity, and healthcare to develop secure and intelligent clinical systems.
AI, Cybersecurity & Healthcare
Secure clinical intelligence research
Research Program
AI, healthcare, and cybersecurity research
Clinical AI Research & Evaluation
Applied research focus for clinical AI systems
Healthcare Data
Interdisciplinary clinical and data applications
Vision
Research Vision
CARE Intelligence Lab advances trustworthy artificial intelligence approaches for healthcare, with emphasis on reliability, interpretability, and next-generation clinical systems.
Secure, practical intelligence
The lab develops intelligent systems that integrate machine learning, large language models, and biomedical data to support clinical decision-making, translational research, and practical healthcare innovation.
Trustworthy AI for Healthcare
Clinical AI
Clinical AI Evaluation
Healthcare Intelligence
Secure Systems
LLMs
Clinical Decision Support
Translational Research
Healthcare Data Security
Cybersecurity
Biomedical Data
Quantum Healthcare
About
About the Lab
CARE Intelligence Lab brings together research in artificial intelligence, healthcare, and cybersecurity under a focused program centered on trustworthy clinical technologies. Current work emphasizes trustworthy AI for healthcare, secure and scalable clinical intelligence systems, quantum computing for healthcare, and responsible evaluation methods for settings where privacy, interpretability, and clinical reliability are essential.
Research Focus
The lab focuses on interdisciplinary research across artificial intelligence, healthcare, and cybersecurity, with emphasis on trustworthy systems for clinical use.
Machine Learning
Deep Learning
Healthcare AI
Cybersecurity
Biomedical Data
Research
Core Research Areas
CARE Intelligence Lab focuses on clinically grounded AI systems that are trustworthy, secure, measurable, and ready for responsible healthcare use.
Biomedical Data & Machine Learning
Machine learning methods for biomedical data, medical imaging, predictive modeling, and clinically meaningful pattern discovery.
Trustworthy AI for Healthcare
Reliable, interpretable, privacy-aware AI systems designed for sensitive healthcare environments where safety and accountability matter.
Healthcare Cybersecurity & Data Security
Secure data workflows, cyber-resilient healthcare systems, and responsible protection of sensitive clinical and biomedical information.
Clinical AI Evaluation
Evaluation frameworks for AI-enabled clinical tools, including reliability, fairness, usability, safety, and responsible deployment.
LLMs & Quantum Healthcare
Large language models, retrieval-augmented reasoning, and quantum computing approaches for next-generation healthcare intelligence.
Contact
Research Inquiries
For research collaborations, invited talks, student opportunities, or project discussions, please get in touch.
CARE Intelligence Lab
Clinical AI Research & Evaluation
Email: shubbars@canton.edu
Google Scholar: View Publications
LinkedIn: View LinkedIn
GitHub: View GitHub
Location: CARE Intelligence Lab, SUNY Canton