The Mayo Clinic, a renowned nonprofit medical center, has announced a partnership with Silicon Valley startup Cerebras Systems to develop cutting-edge artificial intelligence (AI) models for the healthcare industry. By utilizing Cerebras’ powerful computing chips and systems, the Mayo Clinic aims to leverage decades of anonymized medical records and data to develop their own AI models.
This collaboration will enable Mayo Clinic’s AI models to perform various tasks, such as summarizing crucial information from lengthy medical records for new patients and identifying patterns in medical images that may go unnoticed by human experts. It’s important to note, however, that the AI systems will not make medical decisions, as those will still be made by doctors. Instead, AI will serve as a valuable tool to augment the decision-making process and enhance patient care.
Mayo Clinic plans to share the outcomes of its work with Cerebras through its Mayo Clinic Platform, a data network utilized by healthcare systems around the world, including Mercy in the US, University Health Network in Canada, and systems in Brazil and Israel. This will enable medical professionals globally to benefit from the expertise and advancements in AI technology developed by Mayo Clinic.
While the cost of the AI technology has not yet been determined, Mayo Clinic intends to disclose further details during an address at the JPMorgan Chase health care conference in San Francisco. The collaboration between Mayo Clinic and Cerebras Systems is a multi-million-dollar agreement spanning multiple years, highlighting the significant investment and commitment to advancing healthcare through AI.
Cerebras Systems, one of the leading AI chip startups aiming to challenge industry leader Nvidia, will provide both hardware and software development services to Mayo Clinic as part of this partnership. The collaboration between these two organizations holds great promise for the future of healthcare, enabling better patient outcomes through the integration of AI technology.
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