Microsoft says its AI tool is better than doctors at diagnosing conditions
Microsoft AI chief Mustafa Suleyman. | Getty Images For years, AI leaders have touted healthcare as one of the clearest examples of where their technology will improve lives. Now "it is finally here," Microsoft AI CEO Mustafa Suleyman tells The Verge. The company claims to have developed an AI-powered tool it says can diagnose conditions up to four times more accurately than human doctors. The findings, published Thursday in one of the world's most prestigious journals, Science,
Get smart on it
Microsoft has developed an AI diagnostic tool that the company claims outperforms human doctors at identifying medical conditions. In tests comparing the system against physicians, the AI achieved around 83 percent accuracy on cases from medical journals versus roughly 36 percent for generalist doctors using references, and 80 percent accuracy on emergency department cases versus 47 percent for human physicians. The tool, powered by a large language model, works by using multiple AI agents to reason through symptoms and medical histories, decide what tests to order, and reach a diagnosis. Microsoft's AI CEO stated that the company aims to build AI that is indistinguishable from human performance in medical diagnosis within the next couple of years.
Relevant courses
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on MavenRelated news
Microsoft’s Mustafa Suleyman says its AI outperforms doctors on hard cases as he chases ‘medical superintelligence’
Microsoft’s new AI diagnostic system beat generalist doctors on hard cases, according to a study in Science. But most of the improvement seems to come from the AI models underneath, not from Microsoft’s system itself.
Claude Science tackles deadly scorpion stings by designing protein binders from scratch
Anthropic's Claude independently designed protein binders targeting deadly scorpion neurotoxins. Out of more than 318,000 designs, 211 were tested in the lab. Seventeen met the criteria, and the two strongest bind extremely tightly to Cn2, a toxin from a Mexican scorpion. Whether they actually work as antivenom remains an open question. The article Claude Science tackles deadly scorpion stings by designing protein binders from scratch appeared first on The Decoder.
Also reported by The Verge
Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed
Diffusion language model startup Inception AI Inc. today released Mercury 3, its new flagship model. In the company’s own benchmarks, Mercury 3 beat OpenAI Group PBC’s GPT-6 Luna and Anthropic PBC’s Claude Haiku 5.5 on eight of 12 tests at four to eight times their speed. The release takes on the main doubt about Inception’s […] The post Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed appeared first on SiliconANGLE.
Also reported by The Decoder
OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon found critical PHP flaw affecting millions of websites
OpenAI's GPT-5.6 Sol discovered a critical PHP vulnerability as part of the Patch the Planet initiative that could affect millions of websites. Security firm Wiz independently found the same flaw using Google's Gemini 4 Argon. OpenAI warns that the same AI capabilities that find vulnerabilities can help attackers too. The article OpenAI's GPT-5.6 Sol and Google's Gemini 4 Argon found critical PHP flaw affecting millions of websites appeared first on The Decoder.
Also reported by TechCrunch
Terminal X matches senior investor judgment 88.6% with GPT-6.1
Terminal X’s Eval Agent grades outputs against a 54-criterion rubric, catching 25% more deviances from a fund’s mandate with GPT-6.1 Sol.
ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model
A system using adaptive memory mechanisms outperformed larger proprietary models on customer service benchmarks, suggesting scale isn't the only path to performance.