Cedars-Sinai Launches Center for Artificial Intelligence Research and Education
The center’s efforts will focus on developing new AI and machine learning algorithms for personalized medicine, genomics, and other healthcare research.
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By - The Cedars-Sinai Department of Computational Biomedicine established the Center for Artificial Intelligence Research and Education (CAIRE) this week to drive innovation in artificial intelligence (AI), machine learning (ML), and automation applications for healthcare.
New applications and algorithms developed within the center will be used to spur advancements in genomic research and personalized medicine, alongside other healthcare research.
“Our team of experts in artificial intelligence, machine learning and healthcare collaborate with researchers and hospital staff to develop customized solutions tailored to specific healthcare challenges,” said Jason Moore, PhD, chair of the Department of Computational Biomedicine and director of the new center, in a press release announcing the launch. “Our aim is to use these technologies to improve the quality of research and enhance investigators’ decision making.”
CAIRE will also emphasize ethical health AI integration and deployment, with a focus on diversity, equity, and inclusion in its research and education programs, according to the press release.
“We are committed to providing training and education programs that enable healthcare professionals and investigators to effectively integrate these technologies into their practices while ensuring that they are used ethically and responsibly,” said Tiffani Bright, PhD, co-director of the center, in the press release.
CAIRE’s research areas include automated machine learning (AutoML), detecting and correcting biases in ML applications to ensure fairness, and knowledge engineering to inform ML methods. The center has also released free, open-source software for clinical researchers.
CAIRE’s education and training initiatives will focus on basic concepts of ML, workshops on AI ethics, and teaching materials for advanced ML methods and analyses. The center will also work with the National AI Campus, which aims to engage high school, undergraduate, and graduate students in AI education via training opportunities and competitions.
CAIRE’s establishment is Cedars-Sinai’s most recent foray into the health AI space, building on a recent string of advancements and launches.
Last year, the health system shared that it had added a new division to its Department of Medicine called Artificial Intelligence in Medicine (AIM).
AIM seeks to enhance clinical care and improve population health by applying AI technology to COVID-19 care, genetics, cardiac imaging, and sudden cardiac arrest.
Thus far, Cedars-Sinai researchers have developed multiple AI tools for improving cardiovascular care, including models to detect heart disease, improve the accuracy of heart condition detection, assess and diagnose cardiac function, and predict adverse cardiac events.
