Hannah Li on the AI-driven early warning systems helping healthcare providers triage
Sandra Matz on three things generative AI can teach us about mental health
Jing Dong on the tools that can optimize resource allocation in hospitals
Tianyi Peng on how digital twins break from their human counterparts on vaccine sentiment
Professor Xuelin Li talks about governance structures needed to ensure responsible AI use in healthcare settings.
Professor Dante Donati asks what happens to mental health as we spend less time scrolling and more time talking to AI.
Dean Costis Maglaras shares how CBS is equipping the next generation of business leaders to harness the power of this transformative technology.
Pearl Health was founded to empower independent physicians through data and value-based care. This vision 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.
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.
In her new book, Massively Better Healthcare, Halle Tecco, founder of Rock Health and adjunct professor at Columbia Business School, outlines a practical roadmap for earning trust, using AI responsibly, and creating lasting change as a healthcare innovator.
Mental illness imposes recession-level costs on the economy. Columbia Business School professor Boaz Abramson explains how AI could potentially expand access to care.
Managing employees’ AI-related stress is the key to unlocking the technology’s potential.