Los Angeles-based Cedars Sinai’s new center, named the Center for Artificial Intelligence Research and Education, will focus on the “democratization” of artificial intelligence, bringing all clinicians and biomedical researchers involved in their training and expertise. Dr. Jason Moore said it would allow artificial intelligence to be used without The center director said: beckers.
On May 9, Cedars-Sinai announced the establishment of a center focused on advancing artificial intelligence and machine learning in medicine.Dr Moore said beckers The move comes as Cedars-Sinai has already established a number of teams working on the widespread application of AI and machine learning for patient care across the healthcare system.
“Cedars Sinai has established an Artificial Intelligence Council made up of all leaders across the organization involved in AI,” said Dr. Moore. “Whether they are trying to identify the risk of patients getting a particular disease or predicting hospital bed numbers, they are trying to determine whether some groups of patients receive different care than others. We want to know: The new center will complement these efforts by developing leading technologies.” – Edge AI algorithms and software, as well as educational opportunities. ”
Moore said the center will focus on developing automated machine learning to democratize AI, developing fair and unbiased AI algorithms, and developing AI algorithms that use biomedical knowledge to generate better models. said to put
“Initially, we will focus on clinical use cases, but we will continue to expand patient health, from disease prediction and prevention, to personalized care and treatment, to efficiencies that reduce patient burden. AI is expected to have a positive impact on the entire continuum of care, an administrative burden,” said Dr. Moore.
But to effectively integrate these technologies, says Dr. Tiffany Bright, co-director of the Center: beckers For the health system to scrutinize them and see if they are taking an ethical approach to growth.
“The center emphasizes the integration and deployment of ethical health AI by incorporating ethical implications as part of the algorithm lifecycle. helps us identify and address potential biases that may arise throughout the development phase,” said Dr. said Bright. “These conversations with diverse stakeholders will also help us how to ethically integrate and deploy solutions and tools in the clinical setting.”
