Cedars-Sinai Strengthens AI Foundation, Accelerates Momentum

Cedars-Sinai advanced its use of AI in 2025 to address real-world problems with real-world data-further accelerating innovation across the health system.

As Mouneer Odeh, MA, chief data and artificial intelligence officer at Cedars-Sinai, looks back on the year, he reflects on how the organization deployed AI broadly across clinical, academic and administrative areas to drive clinical and operational excellence and to train the next generation of clinicians, scientists and healthcare professionals.

"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 said that as he looks at how AI will advance Cedars-Sinai's work in the year ahead, "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."

Under Odeh's leadership in 2025, the Cedars-Sinai AI Council-a multidisciplinary team comprising clinicians, investigators, data experts and others-helped implement and advance dozens of AI initiatives. These are a few of those achievements.

Delivering Quality Care and Outcomes

Cedars-Sinai was the first health system to launch Aiva Nurse Assistant-initially a pilot program on a 48-bed surgical unit-an artificial intelligence mobile app that allows nurses to use a mobile phone to document patient information in real time through voice dictation.

The app transcribes the data and then-once validated by a clinician-files that information directly into a patient's electronic medical record. The app is now being deployed across Cedars-Sinai Medical Center with the goal of reducing administrative burdens and fostering increased efficiencies and innovation.

Another pilot program, Momentum Spine, launched this year at Cedars-Sinai Guerin Children's for pediatric patients with scoliosis. The monitoring platform enables radiation-free scoliosis assessments and digital models of the patient's spine. With this real-time tracking of brace wear and scoliosis progression, clinicians have seen an increase in compliance and a reduced need for frequent in-person visits. Cedars-Sinai is planning to expand the program in 2026.

Easing and Expediting Access

The Cedars-Sinai Connect mobile app, launched two years ago, allows Californians to quickly and easily access Cedars-Sinai experts for sick, chronic and preventive care-24/7. In 2025, the AI tool-developed by K Health-expanded to support children and Spanish speakers in the state. While the mobile app brings ease and expedited access to patients, it also reduces administrative burdens like data entry, freeing up more time for clinicians to spend meaningful time with their patients.

The initial success of Cedars-Sinai Connect led investigators to study whether physicians or artificial intelligence offer better treatment recommendations for patients examined through a virtual urgent care setting. A 2025 study published in Annals of Internal Medicine found that initial AI recommendations for common complaints in an urgent care setting were rated higher than final physician recommendations.

While AI was shown to be better at identifying critical red flags, physicians were better at eliciting a more complete history from patients and adapting their recommendations accordingly.

Offering Hands-On Health AI Education

With the launch of Cedars-Sinai Health Sciences University, new training programs in AI, big data and machine learning emerged.

The newly established PhD in Health Artificial Intelligence (AI) program earned accreditation from the Senior College and University Commission of the Western Association of Schools and Colleges. The program is the first in the U.S. to be embedded in a hospital and the first to combine interdisciplinary academic training with hands-on clinical data experience, giving students opportunities to develop AI solutions that could improve diagnostics, patient care and healthcare delivery.

Cedars-Sinai's National AI Campus-a project-based learning program that brings together AI experts and students from various educational and professional levels-expanded in 2025 to include the first community college, L.A. Pierce College. The initiative addresses challenging problems in science and medicine using AI and machine learning and includes more than 80 partner institutions from 31 states.

Accelerating Research Discoveries

Cedars-Sinai's research enterprise produced a swath of science in 2025, with dozens of studies focused on advancing the use of artificial intelligence in laboratories and clinics.

These studies included the use of AI to improve mental health therapy, the trending use of agentic AI, how AI can be used to improve drug safety and catch medication risks, potential bias in AI-generated treatments for psychiatric patients, and how the medical center is using synthetic data for clinical innovation.

Teaching and Training to Ease Administrative Burdens

In 2025, the Enterprise Information Services (EIS) team appointed three key leaders to help implement tools and technologies that can reduce burdens among clinicians: a chief health informatics officer, chief nursing informatics officer and chief medical informatics officer.

The medical center also named the inaugural vice dean and chief artificial intelligence health research officer, who will oversee the newly created AI in Medicine Research Center. The center works collaboratively with the Research section of Enterprise Information Services to build and grow the clinical AI research innovation engine.

Through events like the Cedars-Sinai Prompt-A-Thon, employees worked alongside technical coaches and created their own custom AI prototypes, then optimized the solutions through several iterations of improvements and developed roadmaps for expanding the tools for broader uses.

Additionally, more than 1,000 colleagues were trained on AI prompting, and more than 6,000 users have opted in to use Cedars-Sinai's proprietary GPT platform. These administrative opportunities aim to encourage the broad use of AI to better reduce inefficiencies and administrative burdens.

Read more in Cedars-Sinai Discoveries: Cedars-Sinai Pioneers a New Era for AI Education