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Special Session 7:
Intelligent Technology and Robotics in Healthcare

Healthcare systems are undergoing rapid transformation driven by advances in artificial intelligence (AI), machine learning, intelligent automation, and robotics. From clinical decision support and health monitoring to assistive and collaborative robotics, intelligent systems are increasingly embedded in high-stakes healthcare settings where safety, trust, explainability, and human oversight are critical.

This special session aims to bring together researchers and practitioners working at the intersection of intelligent technologies, robotics, and healthcare, with a strong emphasis on applied machine learning, human-centered AI, assistive robotics, and real-world deployment challenges. The session will emphasize both algorithmic innovations and system-level perspectives that address how intelligent and robotic systems can be designed, evaluated, and governed to support clinicians, patients, and caregivers.

Scope and topics:

A key motivation for this session is the recognition that healthcare intelligence is inherently socio technical. Successful adoption of AI and robotics in healthcare requires not only performance improvements but also explainability, safety, trust, ethical alignment, and seamless integration into clinical workflows. The session is particularly timely given the growing use of AI-enabled decision support, robotic assistance for rehabilitation, nursing, and daily living, and intelligent sensing technologies in clinical and home-based care environments.

The proposed session is interested in papers that address theory, methods, systems, and applications. Topics include, but are not limited to:

• Intelligent decision support systems for healthcare applications
• Machine learning and deep learning for healthcare informatics
• Explainable and trustworthy AI in clinical and health information systems
• Assistive robotics and human-robot collaboration in healthcare.
• Robot learning from demonstration for healthcare and rehabilitation tasks.
• Robotic Assistance in Nursing Tasks.
• Human-robot interaction and human performance modeling.
• Intelligent sensing, medical devices, monitoring, and healthcare data analytics.
• AI-enabled rehabilitation, therapy, and assistive technologies.
• Safety, trust, ethics, and governance of AI and robotic systems in healthcare.
• Integration of intelligent and robotic systems into clinical workflows.
• Healthcare IoT and cyber-physical systems with intelligent analytics.

Interdisciplinary submissions that bridge artificial intelligence, machine learning, robotics, human factors, and healthcare practice are especially encouraged.

Chairs:

• Chair Email
Nelly Elsayed: elsayeny@ucmail.uc.edu

Chair Biographies

Dr. Nelly Elsayed is an Associate Professor (tenured) in the School of Information Technology at the University of Cincinnati and the Founder and Director of the Applied Machine Learning and Intelligence (AMLI) Lab. Her research focuses on applied and explainable artificial intelligence, healthcare informatics, intelligent decision support systems, and cybersecurity analytics. She investigates how AI-enabled systems can be responsibly integrated into high-stakes organizational contexts, with particular emphasis on transparency, trust, human oversight, and socio-technical governance. Dr. Elsayed has served as Principal Investigator or Co-Principal Investigator on externally funded research totaling over $1.65M and has extensive experience organizing IEEE special sessions, panels, and technical programs. She is a Senior Member of IEEE.


• Co-Chair Email
Maria Kyrarini: mkyrarini@scu.edu

Co-Chair Biographies

Dr.Maria Kyrarini is an Assistant Professor of Electrical and Computer Engineering at Santa Clara University and a David Packard Jr. Faculty Fellow. She leads the Human-Machine Interaction & Innovation (HMI2) Lab, where her research focuses on assistive robotics, human-robot interaction, and robot learning from human demonstrations. Her work emphasizes enhancing human performance through intelligent robotic systems, including applications in healthcare, rehabilitation, and cognitive assessment. Dr. Kyrarini’s research has been supported by federal funding, including NSF programs in disability and rehabilitation engineering.

Paper Submission Instructions

All papers will be double-blind reviewed and must present original work.

• CMT Submission Site
• Select the track: Special Session 7: Intelligent Technology and Robotics in Healthcare

Papers submitted for reviewing should conform to IEEE specifications. Manuscript templates can be downloaded from:

• IEEE website

Keydates

• Submission Deadline: June 20, 2026
• Notification of Acceptance: July 10, 2026

Registration

In order for your paper to be published in the proceedings you must register to the conference.

Paper Presentation Instructions

The papers submitted to this track will be presented in person as part of the conference. There is no virtual presentation for this session.