Microsoft The Azure AI Foundry Agent Catalog has announced that Agent Orchestrators for Cancer Care Management are currently available.
Azure’s AI Foundry platform allows developers to design, manage, customize and support enterprise-ready AI agents and apps.
An agent orchestrator is a system that allows multiple AI agents to work together to complete tasks.
Tech Giant’s oncology-focused agent orchestrator highlights preset agents with multi-agent orchestration and open source customization options that allow developers and researchers to build agents.
Agents coordinate interdisciplinary multimodal healthcare data workflows, including tumor boards, streamline their deployment to healthcare enterprise productivity tools such as Microsoft teams and Word.
Microsoft argues that agent orchestrators can reduce management obstacles and transform care delivery.
In a statement, Microsoft “works together to effectively enhance clinician specialists with modular inferential inferences and professional multimodal AI agents to address tasks that take hours and hours.”
Healthcare Agent Orchestrators can also oversee the analysis and inference of a wide range of healthcare data types, including digital imaging and communication, including medicine (DICOM files), pathology (full slide images), genomics data, clinical notes from electronic health records.
In a statement, Microsoft explained that each agent is provided with an advanced AI model from Azure AI Foundry, and that it integrates generic inference capabilities with a “health-specific modality model” that “fosters actionable insights based on multimodal clinical data.”
According to Microsoft, the early development partnerships featured the integration of multi-agent workflows into team chat. For example, group chat has enabled conversations between multiple human experts and professional healthcare AI agents linked to specific healthcare data.
The abilities of a healthcare agent orchestrator are:
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Organizing agent functions that can infer more than complex EHR data and expand long-term obligations such as building timelines for time-series patients and determining cancer stages.
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Provides tools to link enterprise healthcare data through Microsoft Fabric and Fast Medical Interoperability Resources (FHIR) data services.
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Allow developers to create, customize and coordinate each agent using models, tools, instructions, and data sources.
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This allows for interoperability and integration into active workflows, including distribution to familiar tools such as Teams, Word, PowerPoint, and Microsoft 365 Copilot.
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Explanability capabilities in agent AI-generated output, ground response to source EHR data, and adoption in high-stakes healthcare environments.
According to Microsoft, researchers and developers Stanford University, Johns Hopkins, Providence Genomics, Mass General Brigham, University of Wisconsin School of Medicine (UW) and Public Health are investigating medical agent orchestrators to study how agent AI can deliver value for complex clinical tasks, including cancer care.
“Stanford Medicine sees 4,000 Oncology Committee patients a year, and our clinicians are already using a summary of the basic model at their oncology committee meetings (via PHI-safe instances of GPT in Azure)” Stanford Healthcare and Stanford School of Medicine said in a statement.
“New healthcare agent orchestrators have the power to streamline this existing workflow by reducing fragmentation and enabling new insights from data elements that challenge searches, such as treatment guidelines, real-world evidence.
Bigger trends
Earlier this month, Microsoft added Elon Musk’s AI startup Xai Grok 3 is now the Azure platform. The Grok 3 and Grok 3 Mini are available from the AI ​​Foundry Platform on Azure.
Xai’s flagship model, Grok 3, is made up of LLMS, focusing on promoting AI innovation and accelerating scientific discovery.
The company said the model was trained on Xai’s Colossus Supercluster with “10 times the computing power of previous major models.”
2023, California’s Blue Shield has announced a multi-year cloud development plan with Microsoft to provide its members with an integrated data hub called Experience Cube, which runs on Microsoft’s Azure Cloud Platform.
Experience Cube aims to leverage Azure’s analytics and storage capabilities to connect data from close-up members, providers and payers, creating more personalized services for members, and driving provider insights.
The platform was first used as an integrated digital health record containing member lab results, health status, emergency room visits, medication, plan scope, and other information related to healthcare.
That same year, Japanese ICT providers Fujitsu has announced a new cloud-based platform that enables the secure collection, storage and leverage of health and health-related data.
Based on Microsoft Azure, the new platform features automatic conversion of medical data from EMR systems and is compliant with the current HL7 FHIR standard for easy utilization and data exchange.
Additionally, it can convert patient-encoded individual health information into information that hospitals and other healthcare organizations can use to select the right medication and treatment for their patients, and promote personalized care.
