Blog
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…
PRESS RELEASE: BeeKeeperAI Applies Sightless Computing Technology to Pediatric Rare Disease Project
Powered by the BeeKeeperAITM sightless computing platform, Novartis scientists used health data from a UCSF patient cohort to refine a disease detection solution for a rare childhood condition
INTEL OPTIMIZED CASE STUDY SERIES: BeeKeeperAI Secures AI Algorithms with Infrastructure from Intel, Microsoft, and Fortanix
Solving the Data Access Challenge in Healthcare AI Using Confidential Computing
Solving the Data Access Challenge in Healthcare AI Using Confidential Computing
Many companies claim to provide secure environments for developing artificial intelligence-based algorithms and models for healthcare use. But the pace of development has remained painfully slow. A major challenge is that most algorithm developers only have access to limited, often narrow datasets to validate and train their models. As a result, the models are not generalizable across different clinical settings.
W…
INTEL SOLUTION BRIEF: Confidential Computing Platform Helps Accelerate Healthcare AI from Concept to the Clinic
Solution: Privacy-preserving confidential computing on the BeeKeeperAI platform enables collaboration between data stewards and algorithm owners and accelerates validation of Healthcare AI
Putting a Halt to the Insanity Surrounding Data Access for Healthcare AI Development & Deployment
PRESS RELEASE: BeeKeeperAI Spins Out of UCSF to Accelerate Healthcare AI Development with Privacy-Preserving Technology Innovation
BeeKeeperAI enters a new phase of growth as an independent company focused on enabling secure collaborations between data stewards and algorithm developers
SAN FRANCISCO – April 26, 2022 – BeeKeeperAI, the pioneer in zero-trust, confidential computing and privacy preserving analytics for the training, validation, and deployment of artificial intelligence (AI) in healthcare, today announced a critical milestone as it completed licensing of its core technology from the University of California, S…
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…