The mantra echoing throughout the healthcare AI discourse and vendor pitches is nearly universal: "AI must integrate into existing clinical workflows." This well-intentioned guidance aims to minimize disruption and maximize adoption. But this approach fundamentally...
When Progress Hurts: The Planetary Risks of AI and Digital Health
As healthcare professionals, we've long been guided by the principle "First, do no harm." However, in our rush to embrace artificial intelligence (AI) and digital technologies, we may be inadvertently violating this fundamental tenet on a global scale. While the...
Why AI in Healthcare May Not Reach the Promised Land by 2030
As a physician, healthcare executive, and innovator, I've been closely following the rapid advancements in artificial intelligence and their potential impact on healthcare. While the promise of AI in revolutionizing healthcare is immense, a recent analysis by Epoch AI...
How AI Will Build the Future of Space Healthcare for a Multiplanetary Humanity
As humanity embarks on one of the most ambitious journeys ever imagined—becoming an interplanetary species—the challenges of establishing a sustainable colony on Mars loom large. Elon Musk predicts that the first Starship missions to Mars will launch in just two...
Botsh*t in, Botsh*t Out (BiBo)
As artificial intelligence continues to revolutionize healthcare, a concerning phenomenon called "model collapse" threatens to undermine the very foundations of AI-powered medical advances. A recent study published in Nature reveals how AI models can degrade over time...
How AI Will Propel a Deep and Collective Intelligence-Based Approach to Medicine
The integration of artificial intelligence (AI) into healthcare has been a game-changer, setting the stage for unprecedented advancements in diagnosing, treating, and managing diseases. However, the true transformative potential of AI lies in its ability to foster a...
Disrupting the Norm: AI, N-of-1 Clinical Trials, and the Fall of Statistical Significance
The landscape of clinical trials is undergoing a seismic shift. Traditionally, clinical trials have relied heavily on statistical significance to determine the efficacy of treatments across large populations. However, the advent of artificial intelligence (AI) is...
Why Home Health May Fail: Designing the 21st Century Home
The concept of home health is on the rise. In recent years, there's been a transformative shift towards viewing the home not just as a living space but as a central hub for health and wellness. With rapidly aging populations, increasing strain on traditional...
Blind Spots That Will Derail AI in Your Hospital (And How to Avoid Them)
Okay folks, I love a good tech revolution as much as the next doc. But let's be real: AI ain't a magic wand we wave, and poof healthcare is fixed. Getting those algorithms actually working in the messy world of hospitals and clinics? That's mostly about humans, not...
Believe it or Not: Healthcare is less Reliable than…Mountain Climbing
Welcome back to the "Believe it or Not" series on Rubin Reflects, where we delve into the intriguing and often unexpected parallels between healthcare and various facets of our world. Today, we're venturing off the beaten path (quite literally, in a moment) to explore...

Dr Rubin Pillay
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