Accelerating development of clinical AI algorithms with BeeKeeperAI
In the continued quest to improve patient outcomes and lower costs, healthcare organizations (HCOs) are looking to technology, particularly advances in the field of artificial intelligence (AI) to spur exciting innovations. Such innovations have the potential to help with disease prediction and diagnosis, effective treatment selection and prognosis, life sciences and pharmaceutical research, epidemiology, public health, and precision health initiatives.
Thanks to electronic health records (EHRs), medical devices and personal smart devices, as well as the data collected in groundbreaking research studies at different academic medical centers around the globe, more and more data is available than ever before. The problem, however, lies in how to safely and ethically access, integrate, and then analyze the information while preserving individual privacy.
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