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Time of India
5 hours ago
- Business
- Time of India
Microsoft's new AI tool a medical genius? Tech giant claims it is 4x more accurate than real doctors
Tech giant Microsoft, recently hit with a fresh round of layoffs, has developed a new medical AI tool that performs better than human doctors at complex health diagnoses, creating a 'path to medical superintelligence'. The Microsoft AI team shared research that demonstrated how AI can sequentially investigate and solve medicine's most complex diagnostic challenges—cases that expert physicians struggle to answer. Tech company's AI unit, led by the British tech pioneer Mustafa Suleyman , has developed a system that imitates a panel of expert physicians tackling 'diagnostically complex and intellectually demanding' cases. Microsoft AI Diagnostic Orchestrator (MAI-DxO) correctly diagnosed up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians. MAI-DxO also gets to the correct diagnosis more cost-effectively than physicians, the company said in a blog post. ALSO READ: Microsoft layoffs: Tech giant's sales head Judson Althoff asked to go on two-month leave. Here's why Microsoft says AI system better than doctors The Microsoft AI Diagnostic Orchestrator', or MAI-DxO for short, the AI-powered tool is developed by the company's AI health unit, which was founded last year by Mustafa Suleyman. The tech giant said when paired with OpenAI's advanced o3 AI model, its approach 'solved' more than eight of 10 case studies specially chosen for the diagnostic challenge. When those case studies were tried on practising physicians – who had no access to colleagues, textbooks or chatbots – the accuracy rate was two out of 10. Microsoft said it was also a cheaper option than using human doctors because it was more efficient at ordering tests. When benchmarked against real-world case records, the new medical AI tool 'correctly diagnoses up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians' while being more impressive is that these cases are from the New England Journal of Medicine and are very complex and require multiple specialists and tests before doctors can reach any conclusion. Live Events According to The Wired, the Microsoft team used 304 case studies sourced from the New England Journal of Medicine to devise a test called the Sequential Diagnosis Benchmark. A language model broke down each case into a step-by-step process that a doctor would perform in order to reach a diagnosis. ALSO READ: Melania should be on first boat: Deportation calls for US' First Lady gains traction amid Trump's immigration crackdown Microsoft new AI tool diagnosed 85% cases For this, the company used different large language models from OpenAI, Meta, Anthropic, Google, xAI and DeepSeek. Microsoft said that the new AI medical tool correctly diagnosed 85.5 per cent of cases, which is way better compared to experienced human doctors, who were able to correctly diagnose only 20 per cent of the cases. "This orchestration mechanism—multiple agents that work together in this chain-of-debate style—that's what's going to drive us closer to medical superintelligence,' Suleyman told The Wired. Microsoft announced it is building a system designed to mimic the step-by-step approach of real-world clinicians—asking targeted questions, ordering diagnostic tests, and narrowing down possibilities to reach an accurate diagnosis. For example, a patient presenting with a cough and fever might be guided through blood tests and a chest X-ray before the system determines a diagnosis like pneumonia. ALSO READ: Sean Diddy Combs' secret plan against his ex Jennifer Lopez emerges amid sex-trafficking trial Microsoft said its approach was able to wield a 'breadth and depth of expertise' that went beyond individual physicians because it could span multiple medical disciplines. It added: 'Scaling this level of reasoning – and beyond – has the potential to reshape healthcare. AI could empower patients to self-manage routine aspects of care and equip clinicians with advanced decision support for complex cases.' Microsoft acknowledged its work is not ready for clinical use. Further testing is needed on its 'orchestrator' to assess its performance on more common symptoms, for instance. Economic Times WhatsApp channel )
Geek Wire
a day ago
- Business
- Geek Wire
Microsoft teaming with Premier League to enhance soccer fans' digital experience using AI
Microsoft AI is being used to enhance the Premier League app and other fan-facing experiences. (Premier League image) Microsoft announced a new strategic partnership with the Premier League on Tuesday in which the tech giant will use its cloud an AI technology to provide a boost to the soccer league's digital infrastructure and fan-facing platforms. At the heart of the five-year deal are new digital features to make the fan experiences more intelligent and intuitive. The tech transformation is considered one of the most significant in the history of Premier League, which is watched in 900 million homes across 189 countries, according to a news release. The four key areas being addressed include: fan engagement, match insights and analysis, cloud transformation, and organizational productivity. Fans can learn more about the clubs, players and matches of their choice through a new digital 'Premier League Companion' powered by Microsoft Copilot. The experience leverages Microsoft's partnership with OpenAI to pull information from over 30 seasons of stats, 300,000 articles and 9,000 videos. Premier League Companion is available on the new official Premier League mobile app and web platforms and will be enhanced throughout the upcoming season. Additional functionality is set to include open-text questions and answers in fans' native languages through text and audio translation. Microsoft AI will also be included within the app and website's enhanced Fantasy Premier League experience, giving fans their own AI assistant manager to help them steer their fantasy squad. Microsoft Azure cloud services will also be used to enhance the live match experience with real-time data overlays and post-match analysis. The league is migrating its core technology infrastructure to Azure for, which it says will allow for greater scalability and security as well as faster innovation and integration of AI services. Microsoft has other sports-related partnerships, most notably with the National Football League. Earlier this year, the company rolled out a new AI assistant within its NFL Combine App used by coaches and scouts. Microsoft Surface tablets are used by teams across the league. Microsoft also works with individual teams to boost internal operations. Teams are using Copilot to build marketing plans and create social media campaigns, for example.
Indian Express
2 days ago
- Health
- Indian Express
Microsoft claims its new medical AI tool is 4x more accurate than doctors
Microsoft has developed a new medical AI tool, which it claims can 'sequentially investigate nd solve medicine's most complex diagnostic challenges' that even expert physicians struggle to answer. Called 'Microsoft AI Diagnostic Orchestrator', or MAI-DxO for short, the AI-powered tool is developed by the company's AI health unit, which was founded last year by Mustafa Suleyman. In a blog post, the tech giant said that when benchmarked against real-world case records, the new medical AI tool 'correctly diagnoses up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians' while being more cost-effective. What's impressive is that these cases are from the New England Journal of Medicine and are very complex and require multiple specialists and tests before doctors can reach any conclusion. In a statement to the Financial Times, the chief executive of Microsoft AI said that the new AI model was a big step towards 'medical superintelligence' and could help doctors by easing their workload. Microsoft AI Diagnostic Orchestrator works by creating a virtual panel of five AI agents, each of which acts as a doctor with distinct roles like choosing diagnostic tests and coming up with hypotheses. The tech giant said its new AI system was trained on 304 studies that described some of the most complex cases solved by doctors and used a new technique called 'chain of debate', which it says gives a step-by-step account of how the AI solves real-world problems. For this, the company used different large language models from OpenAI, Meta, Anthropic, Google, xAI and DeepSeek. Microsoft said that the new AI medical tool correctly diagnosed 85.5 per cent of cases, which is way better compared to experienced human doctors, who were able to correctly diagnose only 20 per cent of the cases. One thing to note is that physicians weren't allowed to refer to textbooks or get advice from their colleagues, something which could have improved their success rate. Microsoft's new experimental tool does show promising results, but before generative AI can be safely used to diagnose patients, we will need more data and regulatory frameworks in place. To do this, the tech giant said it is tying up with health organisation to test and validate its approach before making the tool available to healthcare specialists.
Newsweek
2 days ago
- Health
- Newsweek
New Microsoft AI Research Edges Towards 'Medical Superintelligence'
Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. Newsweek AI is in beta. Translations may contain inaccuracies—please refer to the original content. Microsoft AI has unveiled new research demonstrating AI's abilities in sequential diagnostics—rivaling physicians in both accurate and cost-effective recommendations. The company's announcement on Monday morning was two-fold, introducing a benchmark to prove the performance of AI diagnostics tools against human experts, and a model-agnostic orchestrator to highlight AI's capabilities when stacked against that benchmark. Mufasa Suleyman, CEO of Microsoft AI, believes this research brings us one step closer to "medical superintelligence." "The simple way to understand medical superintelligence is that it is a model which is multiple times better than the best humans in the world, that has the breadth of all or most of the expert clinicians worldwide, combined with the depth of any given expert," the AI pioneer told Newsweek in an exclusive interview ahead of the announcement. The interactive Sequential Diagnosis Benchmark, or SDBench, took 304 complex cases from the New England Journal of Medicine (NEJM) clinicopathological conference, which are historically challenging to diagnose, and translated them into step-by-step diagnostic encounters that mimic clinical decision-making processes. Each day, more than 50 million health-related searches are conducted across Microsoft's AI consumer products, including Copilot, Bing, Edge and MSN. AI's advancements in sequential diagnostics could lead to more helpful, accurate responses, Microsoft AI... Each day, more than 50 million health-related searches are conducted across Microsoft's AI consumer products, including Copilot, Bing, Edge and MSN. AI's advancements in sequential diagnostics could lead to more helpful, accurate responses, Microsoft AI executives told Newsweek. MoreSDBench presents physicians or AI models with a short case abstract. Then, the human or model must ask questions and order tests to inform their diagnosis. A "gatekeeper model" reveals information only when explicitly asked for it. The final diagnosis is compared to the NEJM's gold standard and assessed for both accuracy and cost. Microsoft's new model-agnostic MAI Diagnostic Orchestrator (MAI-DxO) achieved 85.5 percent diagnostic accuracy—outperforming generalist physicians, who reached the correct diagnosis 20 percent of the time, on average. MAI-DxO also reduced diagnostic costs by 20 percent compared to physicians by ordering fewer expensive tests and reaching their clinical decisions more quickly. Since MAI-DxO is model-agnostic, it can be generalized across models from the OpenAI, Gemini, Claude, Grok, DeepMind and Llama families, according to Microsoft. This graphic from Microsoft's research paper illustrates SDBench's assessment process. Three agents orchestrate the "conversation" between SDBench and a human or AI model. Via the Diagnostic Agent (yellow), humans or AI models may ask questions... This graphic from Microsoft's research paper illustrates SDBench's assessment process. Three agents orchestrate the "conversation" between SDBench and a human or AI model. Via the Diagnostic Agent (yellow), humans or AI models may ask questions about patient history, exam findings and test results. The Gatekeeper Agent (purple) assess those requests and determines which information to relay, if any, using a database of NEJM CPC cases. The Judge Agent (blue) decides whether the final diagnosis is aligned with NEJM's gold-standard. Throughout the process, the Diagnostic Agent tracks estimated costs of the diagnostic workup, which factors into the final score. More Microsoft The study has its limitations. Microsoft's panel of 21 U.S. and U.K. doctors had a median of 12 years of experience but were not allowed to use search engines, language models or other sources of medical information when interacting with SDBench. These tools are common in physicians' practices, with about 1 in 5 using generative AI and about 7 in 10 using search engines on a regular basis, according to recent research—so the human participants may have achieved higher diagnostic accuracy if allowed to access their typical suite of online resources. Still, Microsoft's team says the research "highlight[s] how AI systems, when guided to think iteratively and act judiciously, can advance both diagnostic precision and cost-effectiveness in clinical care." MAI-DxO has not been deployed into production, but its initial performance offers a glimpse of high potential. The tool was developed by Microsoft AI's health effort, which launched quietly in late 2024 to create technology and conduct research that advances consumer health. A team of clinicians, designers, engineers and AI scientists have been collaborating under Suleyman, Microsoft AI CEO and co-founder of DeepMind (the AI company acquired by Google in 2014 for $400 million). Dr. Dominic King, Microsoft AI's heath vice president and a former lead at both Google DeepMind and Google Health, is also core to the work. "Two things that we're really proud of: creating a new benchmark for us to test the performance of AI against and showing that the orchestrator system that we created does stunningly well against that benchmark," King told Newsweek. "This is certainly the most exciting thing I've ever been part of." Each day, more than 50 million health-related searches are conducted across Microsoft's AI consumer products, including Copilot, Bing, Edge and MSN. Whether searching for a nearby urgent care center or attempting to make sense of a nagging headache, patients are increasingly turning to AI as a digital front door into the health system. There's a lot of pressure on tech companies like Microsoft to ensure patients find helpful answers. "We've got an AI called Copilot and people will come and talk about everything from their anxiety, to their child's headache, to much more serious conditions they're worried about," Suleyman said. "These are sustained conversational interactions. Copilot can do a better job for these folks if it has good expertise in diagnostics." Microsoft AI's research could also translate into gains for the health care industry, helping physicians reach an accurate diagnosis more quickly and with fewer expensive tests. Each year in the United States, 7.4 million people are misdiagnosed in emergency rooms, causing death or permanent disability in 1 in 350 patients, according to a 2023 study from the Agency for Healthcare Research and Quality. Plus, billions of dollars are spent on unnecessary tests—contributing to rising national health care costs and exacerbating terse relations between hospitals and insurance companies. Now, Microsoft is working closely with health systems (it declined to share which) and clinicians to set up more trials and attempt to replicate MAI-DxO's initial success. "This is a very promising sign of the potential," King said, "but we definitely see this as a multi-year journey that requires a lot of engagement across the health care system to get right."
The Verge
6 days ago
- The Verge
Authors throw the book at Microsoft AI.
Authors throw the book at Microsoft AI. Several writers have launched a lawsuit against Microsoft over claims it used a collection of nearly 200,000 pirated books to train its Megatron artificial intelligence model to respond to user prompts. Judges have shot down similar cases that authors raised against Meta and Anthropic this week — perhaps the third time's the charm?
