Satya Nadella’s Post

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Chairman and CEO at Microsoft

Excited to share two advances that bring us closer to real-world impact in healthcare AI: SDBench introduces a new benchmark that transforms 304 NEJM cases into interactive diagnostic simulations. AI must ask questions, order tests, and weigh costs, mirroring the complexity of real clinical decision-making. MAI-DxO is a model-agnostic orchestrator that simulates a panel of virtual physicians. It achieves 85.5% diagnostic accuracy—four times that of experienced doctors—while cutting diagnostic costs. Together, these advances offer a blueprint for how AI can help deliver precision and efficiency in healthcare, and we're looking forward to working with healthcare partners and the entire ecosystem on these advances making a difference. https://lnkd.in/gd5nd4qF

Sandeep Bothra

MedTech I General Management

2w

Scalable and cost effective decision support 💪💪

Raja Ranjith

Cloud/ML/DL/AI/IoT/IIoT Enthusiast|Snowflake SQUAD Member|AWS Community Builder (ML)|3xAzure|5xGCP|1xAlibaba|Passionate Learner|Group Technical Architect (Solution/System Architect) @HCLTech Over 24+ Years of Experience

2w

Fully agree

Stanley Moses Sathianthan

Managing Director @DataPattern.ai | AI Innovator | Digital Transformation Strategist | Angel Investor | Driving Business Innovation with AI and Data

2w

Shout out for new efforts

SM MEHEDI HASAN

I Help Local Businesses Rank on Google Maps | GBP Expert | 100+ Verified Profiles | Book a Free Audit

18h

Nadella's emphasis on interactive diagnostic simulations and model-agnostic orchestration highlights a crucial shift towards practical AI application in healthcare. The SDBench's focus on mimicking real-world clinical decision-making, combined with MAI-DxO's impressive accuracy and cost-saving potential, points to a future where AI seamlessly augments, rather than replaces, human expertise. The collaborative approach with healthcare partners will be key to unlocking further advancements and ensuring responsible implementation.

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Christian Eduardo Palomares Peralta

Software Engineer II @ Microsoft | Enhancing API Management Solutions

2w

Thanks for sharing, Satya

Hector Alejandro Fuentes

Digital Transformation & IT Programs Leader | Cloud Strategy, AI Adoption, Cybersecurity | 20+ Years Optimizing Costs & Enabling Global Operations

2w

This is truly groundbreaking stuff! It's incredible to see how advanced these systems are becoming, especially with something as critical as medical diagnoses. Imagine the impact this could have, not just on individual patients getting more accurate and faster answers, but on the entire healthcare system. It really feels like we're on the cusp of something huge that will redefine how we approach health and wellness.

Azad Kumar

Student of technocrats institute of Technology B tech students || CSE ' 28 || programming language at-- || C || and ||C++|| Java || DSA || SQL || Web development -- HTML, CSS , JAVASCRIPT

2w

Love this, Satya

Karthikeyan Rethinam

Microsoft Certified Azure Cloud & DevOps Engineer | 3× Azure Certified (AZ-400 • AZ-305 • AZ-104) | AI/ML in Cloud Automation, Monitoring & Security | Azure ML • Cognitive Services • GitHub Copilot • Terraform Sentinel

2w

Impressive work by Microsoft AI—MAI-DxO achieves 85.5% diagnostic accuracy, 4x higher than expert doctors. SDBench brings real clinical complexity into AI evaluation. A huge leap forward for precision, cost-effective healthcare. Excited for the real-world impact this innovation can bring! 👏🧠🩺 👏

Realistic benchmarks and orchestration are exactly what healthcare AI needs to move from lab to clinic. 👏

Ophelia P.

Smart Healthcare Strategist | Green Capital Promoter | Sustainable Family Office Investor | Fitness Enthusiast | Outdoor Sports Enthusiast

1w

😊

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