In a significant advancement for artificial intelligence in healthcare, Google highlighted its fastest-growing AI product, Agentspace, at a healthcare AI roundtable on Thursday. Launched earlier this year, Agentspace, along with its companion Vertex AI Model Garden, enables enterprises to create agents that extract patient insights from diverse data sources. Girish Naganathan, CTO and EVP at Dexcom, a medical device developer, emphasized the tools’ impact on personalizing glucose monitoring devices and linking patient data to electronic health records for primary care providers.
Ben Mabey, CTO of biotech firm Recursion, noted that organizations leveraging agentic AI developer tools could expedite return on investment by enabling IT departments to create agents that augment staff capabilities. “It’s helping [IT] resolve tickets,” Mabey observed.
Microsoft’s Grok 3 Models Enter Healthcare
Earlier this month, Microsoft expanded its Azure AI Foundry platform with the addition of Grok 3 and Grok 3 mini models. Initially met with skepticism when Elon Musk suggested a role for Grok AI in healthcare, the models have now been integrated into Azure. Despite mixed reviews on accuracy, Microsoft claims the new Grok models possess deep domain expertise in healthcare, science, and other sectors.
Corti Joins Coalition for Responsible AI Adoption
AI infrastructure vendor Corti announced its membership in the Coalition for Health AI, an industry-led group creating frameworks for the safe adoption of health AI. Corti’s CEO and cofounder, Andreas Cleve, stated that through the coalition, the company aims to ensure safeguards for responsible innovation across the healthcare system. “Too many applications today are adapted from general-purpose models built to serve all industries,” Cleve remarked.
AI-Enhanced Coding Accuracy by Ambience Healthcare
Ambience Healthcare unveiled its new Coding-Aware AI scribe, utilizing OpenAI’s reinforcement fine-tuning technology. The AI scribe is reportedly generating medical codes with 27% greater accuracy than board-certified physicians. Ambience highlighted the industry’s $19 billion loss due to coding and documentation errors. By listening to patient appointments, the AI identifies billing codes, benchmarking its model against experienced physicians on ICD-10 coding accuracy.
Innovaccer’s Gravity Platform Unifies Healthcare Data
Innovaccer announced the general availability of Gravity, its healthcare data interoperability platform. Designed to unify data across clinical and operational systems using AI, Gravity offers a low-code/no-code developer studio and pretrained AI agents. Abhinav Shashank, cofounder and CEO, explained that the platform enables the launch of the first use case within 90 days.
Nvidia and GE Healthcare Collaborate on Autonomous Imaging
Nvidia and GE Healthcare revealed a new collaboration aimed at advancing diagnostic imaging. Utilizing Nvidia’s Isaac simulation platform, they plan to develop autonomous X-ray and ultrasound applications. Isaac’s pretrained models and physics-based simulations will assist GE in training, testing, and validating autonomous imaging capabilities in a virtual environment before real-world deployment. According to Roland Rott, GE Healthcare’s president and CEO of imaging, the partnership seeks to accelerate development workflows and address healthcare’s growing workloads and staffing shortages.
OpenAI’s HealthBench Evaluates AI Model Safety
OpenAI launched HealthBench, a platform assessing the safety of health AI models. Trained through over 5,000 conversations, HealthBench simulates interactions between AI models and healthcare professionals. The product is designed to help organizations understand model behavior in critical settings and ensure that advancements lead to real-world benefits.
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