In this episode of The CTO Show with Mehmet, Mehmet sits down with Dr. Steve Rondeau of AxonEG Solutions. Dr. Steve brings more than two decades of work across developmental medicine, EEG brain scans, biomarkers, and mental health diagnostics. The core tension is clear: mental health has too often treated labels as answers, while the brain may be telling a different story.
The conversation reframes AI in healthcare as a decision-support layer, not a replacement for clinicians. Dr. Steve explains why two people with the same diagnosis can respond completely differently to treatment, how a database of more than 50,000 brain scans changes the conversation, and why objective biological data can reduce trial and error in care. The episode also connects AI, explainability, human judgment, and empathy in a field where the cost of guessing can be very high.
If you are building, investing in, or leading in AI, healthcare technology, digital health, or human performance, this conversation shows where data can improve decisions without removing the human from the loop.
About the Guest
Dr. Steve Rondeau is with AxonEG Solutions, where his work focuses on EEG brain scans, biological markers, and objective data in mental health diagnostics. He is also the author of Think Like a Brain, a book focused on helping people understand brain patterns, treatment response, and why labels alone do not explain the full picture.
His work is built around a database of more than 50,000 brain scans and a central question: why two people with the same mental health diagnosis can respond so differently to treatment.
LinkedIn: https://www.linkedin.com/in/dr-steven-rondeau-148aa421/
Website: https://thinklikeabrain.com
Key Takeaways
- Mental health labels describe suffering, but they often fail to predict treatment outcomes.
- AI can support clinicians by narrowing options, not by replacing human judgment.
- A single diagnosis can hide thousands of possible biological patterns.
- Objective brain data can reveal treatment paths that symptom labels may miss.
- The DSM helps clinicians communicate, but it does not explain each patient’s biology.
- Human-in-the-loop AI matters most when decisions involve context, culture, and empathy.
- Personalized mental health requires testing the organ being treated.
- Psychedelic and neuromodulation treatments need better prediction before wider adoption.
What You Will Learn
- The reason symptom-based diagnosis can miss the biological drivers behind treatment response.
- How EEG brain scans can add objective data to mental health decisions.
- Why two patients with the same diagnosis may need completely different treatments.
- The role AI can play in connecting biomarkers, clinical data, and published research.
- How human judgment remains essential when algorithms recommend clinical paths.
- Why treatment prediction matters for psychedelics, ketamine, and neuromodulation.
- What personalized medicine looks like when the brain is measured directly.
Episode Highlights
00:00 — Why mental health needs better data
02:30 — Diagnosis describes symptoms, not treatment outcomes
07:30 — Building a 50,000 brain scan database
12:30 — One diagnosis can hide thousands of patterns
16:30 — A brain scan challenged the symptom label
20:00 — Brain data can open harder conversations
23:30 — Biology and environment shape the same brain
28:30 — AI supports clinicians, not replaces them
31:30 — Predicting who responds before treatment starts
35:00 — Psychedelics need better patient selection
40:00 — Mental health should test the organ it treats
45:30 — Adoption depends on validation, funding, and trust
52:30 — Where to find Dr. Steve Rondeau
Listen Now
Available on all major podcast platforms and YouTube
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