Healthcare technology has seen rapid advancements in recent years, with Artificial Intelligence (AI) at the forefront, driving impactful change across various applications. Companies like Artisight, Niramai, and BeeKeeperAI showcase how innovative AI solutions are transforming patient care, data security, and diagnostic capabilities. At HLTH 2024, we stopped by the Microsoft booth to learn how each company is utilizing AI to address critical healthcare challenges.
Artisight: Creating Smarter Hospitals with AI
About the Company
Artisight, a leader in the Smart Hospital space, is transforming clinical environments using an ambient sensor network integrated with AI-powered capabilities. By employing computer vision, natural language processing, and large language models (LLMs), Artisight’s platform mimics a clinician’s ability to see, hear, and interpret complex clinical scenarios.
How Artisight Uses AI
Artisight’s platform deploys cameras and microphones in hospital settings, enabling virtual care workflows and training clinical algorithms for tasks like fall monitoring and pressure ulcer prevention. These systems adapt to specific health system needs, ensuring flexibility and relevance in each deployment.
Surprising Customer Insights
Healthcare providers are consistently impressed by the versatility of Artisight’s technology. The platform’s ability to address diverse needs—ranging from patient rooms and operating rooms to supply closets—underscores its adaptability in enhancing workflow efficiency across health systems.
Results from WellSpan Health Deployment
In a deployment at WellSpan Health, Artisight’s platform reduced patient falls by 52% and sitter hours by 92%. Additionally, patient satisfaction related to nurse communication and discharge processes improved, and 86% of nurses felt the platform enhanced safety on their units.
Connect with Artisight
For more information, visit artisight.com or reach out via email at info@artisight.com.
Niramai: Revolutionizing Breast Cancer Screening with AI
About the Company
Niramai, a deep-tech digital health startup, has developed a non-invasive, AI-driven test for early breast cancer detection. Using thermal scans captured by infrared cameras, Niramai’s software analyzes temperature variations to identify potential cancerous hotspots.
How Niramai Uses AI
Niramai’s software analyzes over 400,000 temperature points and 120+ radiomic parameters, using multiple classifiers to detect abnormal lesions. This results in a quick, comprehensive report for clinicians, providing both qualitative and quantitative data to support further diagnostics.
Surprising Customer Insights
The test has been met with enthusiastic support due to its unique, patient-friendly approach: it’s private, quick (10–15 minutes), painless, and doesn’t use radiation. It also works across all breast densities, a crucial benefit with the recent FDA mandate requiring mammography centers to disclose breast density.
Results from Deployments
Niramai’s solution is available in over 200 centers across 18 countries. Its portability enables field deployment, such as screening booths in corporate offices, offering a convenient 15-minute breast cancer screening for female employees.
Connect with Niramai
Visit niramai.com, or contact them at sabine@niramai.com.
BeeKeeperAI: Ensuring Secure AI/ML Processing on Sensitive Data
About the Company
BeeKeeperAI specializes in enabling secure AI model development on sensitive and regulated data without needing anonymization. Their platform, EscrowAI, integrates with Azure Confidential Computing to meet stringent data protection standards.
How BeeKeeperAI Uses AI
EscrowAI provides a unique solution by allowing developers to train and validate algorithms directly on identifiable data. This eliminates the need for de-identification, preserving data fidelity and reducing time and costs in AI model development.
Surprising Customer Insights
BeeKeeperAI’s clients are most surprised by the ability to work with fully identifiable data, eliminating the need for de-identification. This functionality saves significant time and effort and offers enhanced data security and privacy.
Results from a Recent Deployment
In one project focused on pediatric cardiology research, a BeeKeeperAI client saved over $1 million by bypassing a complex de-identification process. This time and cost efficiency enabled researchers to secure a grant and expedite their groundbreaking research.
Connect with BeeKeeperAI
Learn more at beekeeperai.com or contact them via email at learnmore@beekeeperai.com.
