Blog
Blog Posts
Generative AI Misses the Mark in Healthcare – What It Needs to Succeed
By Michael S. Blum, MD, CEO of BeeKeeperAI™
Key Points:
- ChatGPT is impacting industry and society in unprecedented ways
- The opportunity for GPTs to improve healthcare delivery is enormous, but the technology is immature and not sufficiently reliable for general healthcare use
- The AI models need additional training on real-world healthcare data to perform adequately in healthcare, but accessing that data is challenging due to patient privacy concerns
- New confidential computing technologies…
Putting a Halt to the Insanity Surrounding Data Access for Healthcare AI Development & Deployment
Given the data access challenges, it is not surprising that many AI algorithms have performance problems. We have all seen the articles that highlight inherent biases in data that reduce the accuracy of healthcare AI models, lack of generalizability, as well as issues with algorithm drift when the models are exposed to new data. At BeeKeeperAI, we are developing innovative tools for healthcare artificial intelligence lifecycle management that will ultimately improve patient outcomes and reduce t…
Securing Healthcare AI with Confidential Computing
The following guest post is re-posted with permission from Richard Searle, Customer Solutions Director, Fortanix.
Contextual Focus on Healthcare
The events of 2020 have placed healthcare and medical research at the forefront of public discourse and topical interest. The quest for an effective vaccine to counter the severe acute respiratory syndrome coronavirus 2 (SARS-Cov-2) virus and its manifestation in the disease COVID-19 has introduced sampling, statistical analysis, and the r…