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Despite leaps in medical technology, as many as 30 to 40 percent of surgical patients end up unsatisfied with their surgical outcomes due to lingering pain or mobility issues. AI-powered “digital twin” technology offers an opportunity to reduce the reliance on clinical heuristics—those experience-based shortcuts passed down through mentorship—for a more precise, bespoke approach to surgical care.

Today's AI systems are powered by vast models trained on data from across the internet. But this approach has stalled in the complex and critical field of healthcare, because while AI excels at retrieving facts, it falls short in handling the nuanced realities of clinical environments. 

Pearl Health was founded to empower independent physicians through data and value-based care. The founding vision of Pearl Health—empowering independent physicians through data and value-based care—has only accelerated with the advent of AI.

Research shows that up to half of dementias may be preventable by addressing modifiable risk factors. These programs are typically delivered in person, are resource-intensive, and reach only a small fraction of the people who could benefit. 

At its core, AVO leverages AI to process patient data directly from the Electronic Health Record (EHR), maps that data against clinical best practices, and produces "copilots" that automate clinician workflows. 

Columbia Business School didn’t just see the future coming — it decided to build it.While most business schools are still debating the role of artificial intelligence in business education, Columbia has sprinted ahead with one of the world’s most ambitious, multi-layered AI strategies. The centerpiece is CAiSEY, a voice-powered learning platform that has already changed how thousands of students prepare for class. It’s part of a sweeping effort to rethink curriculum, pedagogy, and even school operations around breakthrough technology.“We may debate whether AI is transformative in the next six or twelve months,” says Dean Costis Maglaras, “but over the span of a decade, it’s going to change the world — and it will be a positive change. Our students are 27 or 28 years old. They’re thinking about the next 20 or 30 years of their careers. Academia has to help them navigate that journey.”

New research from Columbia Business School reveals surprising patterns in how AI agents choose what to buy, and why sellers and platforms may need to rethink everything.