Hosted by Milan Toma · 🇺🇸 US · EN · 17 episodes
Established thought leaders with verified media credentials.
Each episode is a clear, accessible synthesis of research studies on timely and controversial health topics; no hot takes, no hype, just what actual science says.Hosted by Milan Toma, Ph.D., this podcast cuts through the noise. Instead of speculation and hearsay, you’ll get evidence-based insights on everything from sleep and weight gain to the anatomy of misinformation and the psychology behind public health debates. If you’re frustrated by the flood of opinions online and want to know what the research really shows, this is the show for you.
Milan Toma hosts The Psychology of Health, a health show with 17 episodes published.
Those viral headlines claiming AI diagnoses better than doctors? They're based on fundamentally flawed research—and believing them could be dangerous to your health. In this episode, I break down the alarming trend of st
Chatbots and large language models are becoming increasingly common in everyday life, but their growing presence in healthcare has raised an important question: Should probabilistic AI systems be used to help make medica
Another week, another headline declaring AI has officially surpassed physicians. This time, it's a study published in Science on April 30, 2026, claiming that OpenAI's o1 model "outperformed physician baselines" across m
Artificial intelligence is rapidly moving into classrooms, clinics, and daily healthcare decision making, but much of the public conversation is built on a dangerous misunderstanding. Too often, people now treat artifici
Introduction: A Tale of Two Rounds Every attending physician has seen the "Star Student" who can quote the New England Journal of Medicine verbatim but freezes when a patient doesn't follow the script. In this episode, w
Have you ever wondered why skepticism about artificial intelligence persists in healthcare, even as new AI tools are rapidly introduced? In this episode, Dr. Milan Toma, Associate Professor of Clinical Sciences at NYIT C
Imagine you are developing an AI system to predict which patients are at risk of becoming obese based on their lifestyle factors. You gather data on diet, exercise habits, sleep patterns, stress levels, and dozens of oth
When a ninety nine percent accurate AI misses every single case of disease, something has gone terribly wrong. In this episode, Dr. Milan Toma exposes one of the most dangerous pitfalls in medical artificial intelligence
What can a 2017 colonoscopy study teach us about using AI diagnostics safely in 2025? An AI diagnostic tool boasts 99% accuracy. Should you trust it? In this episode, I explain why that number can be dangerously misleadi
Are we caught in another tech hype cycle with AI? The promise of technology often clashes with financial and practical reality. This presentation cuts through the noise to offer a clear and balanced framework for thinkin
This episode provides an overview of Total Energy Expenditure (TEE) and Basal Energy Expenditure (BEE), emphasizing their definitions, measurement methods, and patterns across the human lifespan. It explains that TEE is
This episode challenges the common belief that weight gain in middle age is caused by a slowing metabolism, asserting that adult metabolism generally remains stable until after age sixty. Instead, it explains that weight
This episode fundamentally challenges the popular belief that human metabolism slows down during midlife, asserting instead that total energy expenditure remains stable between the ages of 20 and 60, only declining after
This episode provides an overview of the significant challenge of dietary underreporting bias in nutrition research, especially concerning individuals with obesity. It explains how some people with higher body mass index
This episode provides an extensive critique of the reliability of self-reported dietary surveillance data, arguing that simple correlations between dietary trends (like increased calories or changes in macronutrients) an
This episode provides an extensive overview of the complex biological regulation of appetite and energy balance, moving beyond the simple "calories in, calories out" model. It establishes that fat tissue is an active end
This episode provides an extensive overview of the strong relationship between insufficient sleep and the increased risk of weight gain and metabolic dysfunction. It emphasizes that epidemiological data consistently iden
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The Psychology of Health is hosted by Milan Toma. The show is categorised under health (fitness) and has published 17 episodes.
The Psychology of Health has published 17 episodes.
The Psychology of Health regularly covers health, fitness, medicine. It sits in the health category, with a fitness focus.
The Psychology of Health is accessible for guests with genuine health expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
The Psychology of Health hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of The Psychology of Health average 16 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates The Psychology of Health's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
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