FluidAI will utilize Mayo Clinic Platform’s extensive de-identified clinical data to enhance predictive algorithms, aiming to improve patient outcomes in postoperative care.

KITCHENER, ON, Oct. 28, 2024 /PRNewswire/ - FluidAI Medical (FluidAI), a leader in artificial intelligence (AI)-driven postoperative monitoring, announced a collaboration to access de-identified clinical data through Mayo Clinic Platform_Discover. This collaboration will enable FluidAI to accelerate the development of predictive models aimed at enhancing clinical decision-making and improving patient outcomes.

FluidAI’s StreamTM Platform is a software suite that leverages AI to analyze data from disparate sources to build a comprehensive understanding of the patient’s condition and alert surgeons to potential complications and risks before and after surgery. Stream™ Platform combines data from novel sensors, including FluidAI’s Origin™ sensor platform, with comprehensive and contextualized medical record data to generate insights in real-time that may help physicians predict clinical outcomes.

Mayo Clinic Platform_Discover offers AI solution developers access to diverse, de-identified clinical data, including demographics, diagnoses, imaging, lab results, clinical notes, and pathology reports. This diverse data set enables FluidAI to design predictive models on real-world retrospective data to facilitate faster model development.