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AI + Healthcare: From Potential to Impact

The AI revolution in healthcare is here. The greatest challenge is no longer potential—it is execution.

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Columbia Business School’s AI+Healthcare Initiative is charting the future of healthcare by blending visionary thinking with expertise in data, delivery, and systems. Together, we can build a bridge from the promise of AI to solutions that transform care for all of us.

 

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Better Patient Care, More Effectively Delivered

How can we use AI to uncover hidden health clues and allocate resources more effectively?

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Flagging the Riskiest Patients

Hannah Li on the AI-driven early warning systems helping healthcare providers triage

AI as a Mental Health Aid

Sandra Matz on three things generative AI can teach us about mental health

Can AI Ease Hospital Resource Shortages?

Jing Dong on the tools that can optimize resource allocation in hospitals

“If you think about the potential of generative AI to really fill in the gaps for people who don’t otherwise have support, there’s enormous potential.”

Sandra Matz

Company Spotlight: Avo

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Laurence Coman

Laurence Coman '20

Cofounder and Chief Operating Office of Avo

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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.

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Company Spotlight: Mindr

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Ariana Myers '02

Co-Founder and Strategic Advisor of Mindr

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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.

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Company Spotlight: Pearl Health

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Michael Kopko

Michael Kopko '09

Co-founder and CEO of Pearl Health

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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.

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Policy & Decisionmaking: Creating Governance and Trust

In healthcare, accountability is non-negotiable, and the cost of mistakes is human life. How do we establish the policy, liability, and governance frameworks needed for safe and trustworthy human-AI collaboration?

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Digital Twin Bias

Tianyi Peng on how digital twins break from their human counterparts on vaccine sentiment

The Implications of Risk Aversion

Xuelin Li talks about governance structures needed to ensure responsible AI use in healthcare settings

“At the end of the day, we can’t trust AI just on its own, it’s always AI humans acting on some sort of AI knowledge.”

Hannah Li

Healthcare
Date
January 20, 2026
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Healthcare

Cracking AI's Healthcare Code: Prof. Hongseok Namkoong on Moving From Information to Intelligence

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. 
  • Read more about Cracking AI's Healthcare Code: Prof. Hongseok Namkoong on Moving From Information to Intelligence about Cracking AI's Healthcare Code: Prof. Hongseok Namkoong on Moving From Information to Intelligence
Healthcare
Date
January 20, 2026
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Healthcare

Cutting Through the Black Box: How to Build Credibility for AI in the Operating Room

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.
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AI and Transformative Tech
Date
February 02, 2026
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AI and Transformative Tech

What It Really Takes to Innovate in Healthcare

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.
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AI’s Transformative Impact on Mental Health and Wellness

AI has the potential to revolutionize mental health with crisis prediction and personalized care, but it also challenges workforce well-being. Balancing innovation with empathy is key.

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Artificial Intelligence, Healthcare
Date
January 26, 2026
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Artificial Intelligence, Healthcare

The Missing Link in AI Adoption

Managing employees’ AI-related stress is the key to unlocking the technology’s potential.
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Healthcare
Date
January 28, 2026
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Healthcare

Mental Health Is an Economic Crisis. Is AI Helping or Making it Worse?

Mental illness imposes recession-level costs on the economy. Columbia Business School professor Boaz Abramson explains how AI could potentially expand access to care.
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Artificial Intelligence, AI and Transformative Tech
Date
January 28, 2026
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Artificial Intelligence, AI and Transformative Tech

Why AI Is a Different Kind of Shock to Health

Columbia Business School professor Dante Donati explains the guardrails needed to ensure AI improves outcomes rather than deepening inequality.
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MENTAL HEALTH

“If we spend less time scrolling and more time talking to AI, what does that mean for our mental health? Will AI become a new form of dependency?"

Dante Donati

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Explore our Events and Partner with Us

From intimate chats with founders to discussions with industry leaders, AI+ Healthcare hosts numerous events throughout the year.

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Upcoming Events

Past Events

Data and Business Analytics, Data/Big Data, Distinguished Speaker Series, Healthcare
Date
October 18, 2024
Emma Walmsley, CEO of British pharmaceutical giant GSK
Data and Business Analytics, Data/Big Data, Distinguished Speaker Series, Healthcare

Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley

The pharmaceutical company leader praised AI for boosting productivity, but noted that it’s still “all about the people.”
  • Read more about Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley about Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley
Artificial Intelligence, Distinguished Speaker Series, Economics and Policy, Healthcare, Leadership
Date
March 06, 2025
Dan O'Day
Artificial Intelligence, Distinguished Speaker Series, Economics and Policy, Healthcare, Leadership

Leadership Lessons from Gilead Sciences CEO Daniel O’Day

Innovations in data and AI are reshaping the biopharma industry.
  • Read more about Leadership Lessons from Gilead Sciences CEO Daniel O’Day about Leadership Lessons from Gilead Sciences CEO Daniel O’Day
Artificial Intelligence, Business and Society, Distinguished Speaker Series, Healthcare, Strategy
Date
October 17, 2024
Senator Bill Cassidy.
Artificial Intelligence, Business and Society, Distinguished Speaker Series, Healthcare, Strategy

Navigating AI’s Role in the Future of Healthcare

US Senator Bill Cassidy, MD, highlights the need to balance regulation and innovation when it comes to embracing AI in medicine.
  • Read more about Navigating AI’s Role in the Future of Healthcare about Navigating AI’s Role in the Future of Healthcare

Research Across Columbia

Would You Want to Know if Alzheimer’s Were in Your Future?

Columbia Alzheimer Future

New AI-based screening tools could help people who are falling through the cracks.

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How Artificial Intelligence Is Changing Biomedical Research

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Columbia researchers are using AI to unravel genetic mysteries behind cancer, Alzheimer’s, and more.

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AI Tool Reveals Complete 3D Architecture of Brain Cells

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New open-source software could shed light on how brain diseases work

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How AI Is Improving Breast Cancer Detection

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Radiologists explains how AI, screening advances, and patient choice are reshaping breast cancer care.

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AI Comes of Age: From Hype to Hard Science in Public Health

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Envisioning how artificial intelligence (AI) could usher in a new era for public health research.

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GPT-4 AI Outperforms Experts at Identification of Cell Types

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GPT-4, large language model created by OpenAI, can accurately interpret types of cells important for the analysis of single-cell RNA sequencing—a sequencing process fundamental to interpreting cell types.

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Biostatistician Designs AI Tools for Early Diagnosis and Treatment of Alzheimer’s and Other Complex Diseases

As Alzheimer’s disease begins to disrupt neurocognitive function, the symptoms can be so subtle that both family and loved ones struggle to discern the changes, delaying diagnosis even as damage compounds.

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Silicon Chips on the Brain: Researchers Announce a New Generation of Brain-Computer Interface

Fabricated as a single chip, the new implant is orders of magnitude faster and smaller than today’s state-of-the-art brain-computer interfaces, offering an opportunity for more efficacious treatment of a number of neurological conditions.

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How Thoughts Influence What the Eyes See

Most scientists agree that categorizing an object — like thinking of a carrot as either a root vegetable or a party snack — is the job of the prefrontal cortex, the brain region responsible for reasoning and other high-level functions that make us smart and social. In that account, the eyes and visual regions of the brain are kind of like a security camera collecting data and processing it in a standardized way before passing it off for analysis.

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Reading Muscle Intent: A New AI Tool for Hand Movement After Stroke

When a person reaches for a cup of water, thousands of muscle signals fire in coordination. For stroke survivors, that seemingly effortless act can become impossible, and even the most advanced rehabilitation techniques have yet to fully restore this functionality.

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Learn More About Our AI Initiatives

Want to learn more about AI+Healthcare or the AI in Business Initiative? Reach out to us at aib@gsb.columbia.edu.

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About the Healthcare Program

Learn more about CBS’s Healthcare and Pharmaceutical Management Program below.

Healthcare Program

The mission of Columbia Business School’s AI+Healthcare Initiative is to define the future of healthcare innovation, policy and delivery. Successfully leading the next period of healthcare transformation requires a clear vision of what’s possible–anchored by expertise in data, delivery and systems. We are on the forefront of that revolution, convening the experts and the thinkers who will transform the way we give and receive care, to drive collaboration and solutions.
 

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