Advanced AI Models and Integrations for Healthcare
In today’s rapidly evolving healthcare landscape, AI is revolutionizing patient care by enabling more personalized experiences, optimizing vast medical data management, and improving patient outcomes. As challenges such as rising patient expectations, complex data handling, and regulatory requirements intensify, more advanced solutions have become essential.
Advanced AI Models and Integrations for Healthcare
Microsoft is at the forefront of this transformation, dedicated to developing and implementing responsible AI technologies. By fostering innovation and collaboration through Microsoft Cloud for Healthcare, we continue to reinforce how responsible AI can enhance healthcare delivery and improve outcomes for patients worldwide. Building on this commitment, we’re excited to introduce new features in our AI healthcare portfolio that will further drive industry efficiencies and better patient outcomes.
Leveraging Multimodal AI for Improved Health Insights
Today, we are excited to announce new functionality in healthcare data solutions that allows customers to orchestrate multimodal AI insights directly into Microsoft Fabric. Now in public preview, orchestrating multiple modalities (e.g., text, image, audio, video, and other forms of sensory input) of health data within Fabric allows healthcare organizations to generate a robust set of insights that help foster faster decision-making and improved patient outcomes.
Orchestrating Multimodal AI Insights
The orchestration capability includes five out-of-the-box examples to help customers connect and integrate to AI models:
- Text analytics for health in Azure AI Language to extract medical entities from unstructured data such as diagnoses and medications, and the relations between entities.
- MedImageInsight AI model in Azure AI Foundry to generate medical image embeddings from imaging data.
- MedImageParse AI model in Azure AI Foundry enables segmentation, detection, and recognition from imaging data across numerous object types and imaging modalities.
- Sentiment analysis with Azure OpenAI Service to score sentiment for categories such as doctors’ services, staff services, facilities, and cost from conversational data.
- SDOH extraction with Azure OpenAI to extract social determinants of health data from conversational data based on the Centers for Medicare and Medicaid Services’ defined categories.
Achieve More with AI You Can Trust
This week’s Microsoft Cloud for Healthcare announcements underscore our commitment to transforming healthcare through advanced AI models and data integrations. By leveraging these cutting-edge technologies, we’re empowering healthcare organizations to deliver better care, help improve patient outcomes, and drive innovation in the industry.
Conclusion
In conclusion, the integration of advanced AI models and integrations in healthcare is revolutionizing patient care by enabling more personalized experiences, optimizing vast medical data management, and improving patient outcomes. Microsoft’s commitment to developing and implementing responsible AI technologies is transforming the healthcare landscape, and we are excited to introduce new features in our AI healthcare portfolio that will further drive industry efficiencies and better patient outcomes.
Frequently Asked Questions
Q: What are the new AI models and integrations announced for healthcare?
A: The new AI models and integrations announced include MedImageParse 3D, TamGen, Hist-ai, and ECG-FM, as well as the orchestration of multimodal AI insights into Microsoft Fabric.
Q: What are the benefits of these new AI models and integrations?
A: These new AI models and integrations enable more accurate diagnosis, improved patient outcomes, and enhanced data analysis, leading to better healthcare delivery and reduced costs.
Q: How can healthcare organizations leverage these new AI models and integrations?
A: Healthcare organizations can leverage these new AI models and integrations through Microsoft Cloud for Healthcare, which provides a comprehensive platform for developing and deploying AI-powered healthcare solutions.
