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Texas A&M researchers deploy agentic AI to reduce healthcare administrative burdens

A team led by Dr. Mark Benden has developed a suite of AI agents, including a pediatric companion and dementia detection tool, to support patients and clinicians.

Reese Fenn

September 21, 20262 min read

AI in education - illustration, Jake Team LLC

Texas A&M University researchers are deploying a suite of agentic AI agents designed to relieve administrative burdens and ease patient suffering within the healthcare system. The project, led by Dr. Mark Benden, a professor in the School of Public Health and director of the Center for Worker Health, focuses on an empathetic approach to artificial intelligence.

The team has created tools that converse, read facial expressions, and capture biometrics to support patients and clinicians at critical points of care.

The early suite of empathetic AI assistants includes a medical receptionist that greets patients in more than 100 languages, an assessment tool aimed at detecting early signs of dementia, and a pediatric companion. These products have been licensed by Texas A&M to a startup company named Humanate, which is expanding the portfolio.

Benden stated that conversational AI has matured to the point where it can follow context, remember relevant details, and respond appropriately in real time. He noted that combining this capability with a relatable on-screen presence makes interactions feel less transactional, particularly for individuals facing language barriers or stress.

One key component is “Oliver,” a cartoon-style AI companion for pediatric patients undergoing medical tests and procedures. Oliver explains procedures in kid-friendly terms, demonstrates breathing and distraction techniques, and stays with the child on a tablet, wall display, or mobile device. The prototype aims to provide warmth, clarity, and continuity from the waiting room to recovery.

Benden said that a friendly and calm digital guide that explains each step can change the overall experience for the child.

The team has also developed a virtual interviewer for early dementia detection. This tool asks structured screening questions while observing facial expressions, noting response times, and capturing biometrics using a patented computer mouse design. The goal is to create a “Digital Apathy Signature” to identify subtle changes associated with neurodegenerative disease. The work earned Texas A&M the Fast Company Innovation by Design 2026 award.

Source: Texas A&M University.

Sources

today.tamu.edu

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Reese Fenn

Reese Fenn writes about community life, schools, public safety, and local events in College Station.

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