Nelly
Elsayed
Associate Professor at University of Cincinnati
"Applied AI in Healthcare: Navigating Challenges and Harnessing Opportunities Across Clinical and Administrative Domains"
"Applied AI in Healthcare: Navigating Challenges and Harnessing Opportunities Across Clinical and Administrative Domains"
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Session: Applied AI in Healthcare: Navigating Challenges and Harnessing Opportunities Across Clinical and Administrative Domains
Artificial Intelligence (AI) is rapidly transforming healthcare, offering significant potential to improve both clinical outcomes and administrative efficiency. This presentation explores the diverse landscape of AI applications in healthcare, highlighting three primary categories: traditional AI, agentic AI, and generative AI. Each type of AI can be strategically applied across different sectors of healthcare informatics, ranging from predictive diagnostics, treatment planning, and patient monitoring to administrative functions such as workflow optimization, billing, and resource management. Through illustrative examples, this talk emphasizes how emerging AI technologies are not only enhancing operational effectiveness but also reshaping decision-making processes. Despite the promising opportunities, healthcare organizations face challenges related to data quality, ethical concerns, integration into existing systems, and workforce readiness. Attendees will gain a structured understanding of how to leverage AI effectively while navigating its associated challenges.Key Takeaways
- Applied AI systems are making significant strides in healthcare to improve overall service quality.
- Differentiate between traditional, generative, and agentic AI systems
- How to decide which AI system is the best fit for a particular problem in the Healthcare system
- The current challenges for utilizing AI in healthcare systems
- How to overcome AI challenges towards a reliable and responsible system
Bio
Dr. Nelly Elsayed is an Associate Professor, founder and leader of the Applied Machine Learning and Intelligence (AMLI) Lab at the School of Information Technology at the University of Cincinnati. Her research focuses on Applied AI and Machine Learning for Healthcare Informatics, Cybersecurity, Smart Technologies, Computer Vision, and Business Intelligence Systems. She received a BS and an MS in Computer Science from Alexandria University, and her MS and Ph.D. from the University of Louisiana at Lafayette. She is an active member of the IEEE Computational Intelligence Society. She has served as a principal and co-principal investigator on multiple federally, educationally, and industrially funded research projects. She received the Faculty Incentive Award for Research and Scholarship from the CECH, UC, in 2021 and 2025, recognizing her research contributions, journal and conference peer-reviewed publications, and professional presentations. She received the Love of Learning Award from the Honor Society Phi Kappa Phi in 2019, 2021, 2023, and 2025. She received the Golden Apple Award for Excellence in Teaching (Graduate Level), CECH. She received the UCAADA Sarah Grant Barber Outstanding Advising Faculty Award from the University of Cincinnati. She has been an Ambassador for Goodwill of Lafayette, Louisiana, since 2017. Dr. Nelly Elsayed has been nominated for the Presidential Awards for Excellence in Science, Mathematics, and Engineering Mentoring (PAESMEM), which is the most prestigious mentoring award in the Nation.