『How Nita Akoh Is Using AI, Neuroscience, and Mobile Data to Detect Mental Health Decline Before Crisis』のカバーアート

How Nita Akoh Is Using AI, Neuroscience, and Mobile Data to Detect Mental Health Decline Before Crisis

How Nita Akoh Is Using AI, Neuroscience, and Mobile Data to Detect Mental Health Decline Before Crisis

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概要

Episode Summary:

In this episode of Healthcare Algorithm, hosted by Dr. William Strimmel, Dr. Strimmel sits down with Nita Akoh, Founder & CEO of MyAtlas, to explore how AI, neuroscience, and mobile data are enabling earlier detection of mental health decline before a crisis occurs.

Nita shares her personal journey into neuroscience and how it led to building MyAtlas, a platform inspired by functional MRI research and designed to identify mental health risk using everyday digital signals from smartphones and wearables. The conversation highlights how technology can close access gaps, reduce clinician burden, and support timely intervention.

They also discuss the real-world impact of MyAtlas, including preventing thousands of mental health crises from escalating, while addressing key challenges in behavioral health such as access, equity, data privacy, and reimbursement.

Key Takeaways:
  1. How AI and mobile data detect mental health decline early
  2. The role of neuroscience in personalized mental health care
  3. Why early intervention matters in crisis prevention
  4. Using technology to improve access and outcomes

Golden Nugget:

“You can’t prevent a crisis if you only act when it’s already happening.”

Connect with Nita Akoh:
  1. LinkedIn: linkedin.com/in/nitaakoh

Listen Now & Subscribe:

Available on Spotify, Apple Podcasts, YouTube, Amazon Music, or wherever you get your podcasts.

Healthcare Algorhythm breaks down the systems, strategies, and technologies shaping modern medicine, turning complexity into clarity, one conversation at a time.

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