Cedars-Sinai expands use of artificial intelligence across clinical care and education

Thomas M. Priselac President and CEO
Thomas M. Priselac President and CEO
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Cedars-Sinai Medical Center expanded its use of artificial intelligence (AI) in 2025, applying the technology to clinical, academic, and administrative functions. The goal has been to improve patient care, support research, and reduce administrative workloads.

Mouneer Odeh, MA, chief data and artificial intelligence officer at Cedars-Sinai, reflected on these developments: “AI is not just a tool; it is a catalyst for innovation and transformation,” Odeh said. “Our work this past year centered on translating innovative ideas into solutions with real-world impact and solutions that improve care, enhance discovery and teaching, and create greater efficiencies.”

Odeh also emphasized the future direction: “Our focus for AI is rooted in our mission—elevating the health status of the communities we serve. The pace of innovation is accelerating, and the cumulative impact is growing.”

In 2025, under Odeh’s leadership, the Cedars-Sinai AI Council—a multidisciplinary team including clinicians and data experts—helped implement multiple AI projects.

One notable project was the introduction of Aiva Nurse Assistant. This mobile app allows nurses to document patient information through voice dictation using their phones. Once validated by a clinician, this information goes directly into patients’ electronic medical records. The program began as a pilot on a surgical unit but is now being rolled out across Cedars-Sinai Medical Center with aims to decrease administrative tasks.

Another initiative was Momentum Spine at Cedars-Sinai Guerin Children’s hospital for pediatric scoliosis patients. The platform provides radiation-free assessments and digital spine models while allowing real-time tracking of brace usage. Clinicians observed increased compliance among patients and fewer in-person visits were required.

The Cedars-Sinai Connect mobile app continued to expand in 2025. Initially launched two years ago for California residents seeking access to medical professionals at any time of day or night, it now supports children and Spanish speakers as well. Developed by K Health, this tool reduces clerical tasks for staff while providing more direct interaction between clinicians and patients.

A study published in Annals of Internal Medicine found that initial AI recommendations during virtual urgent care visits were rated higher than those from physicians for common complaints. However, physicians excelled at gathering detailed patient histories and adapting their advice accordingly.

Cedars-Sinai also introduced new educational programs through its Health Sciences University. Its PhD program in Health Artificial Intelligence received accreditation from the Senior College and University Commission of the Western Association of Schools and Colleges. This program is unique because it combines academic training with hands-on experience within a hospital setting.

The National AI Campus project-based learning initiative grew in 2025 to include L.A. Pierce College—the first community college participant—and now involves over 80 partner institutions from 31 states.

Research activities included studies on mental health therapy using AI tools; examination of agentic AI; efforts to improve drug safety; analysis of bias in psychiatric treatment recommendations generated by AI; and applications involving synthetic data for clinical innovation.

To address administrative burdens among staff members, three key leaders were appointed within Enterprise Information Services: chief health informatics officer, chief nursing informatics officer, and chief medical informatics officer. In addition, an inaugural vice dean/chief artificial intelligence health research officer was named to lead the new AI in Medicine Research Center.

Events such as Prompt-A-Thon allowed employees to develop custom AI prototypes alongside technical coaches. More than 1,000 colleagues received training on prompting techniques for generative models like GPT platforms developed internally by Cedars-Sinai; over 6,000 users have opted into these systems so far.

Located in Los Angeles since its founding in 1902,Cedars-Sinai Medical Center serves as both a major treatment center—with over 50,000 admissions reported in its most recent annual report—and a teaching hospital with specialized wards such as pediatrics.



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