AI for Mental Health


Building resilience without losing the human touch

“The future of mental health isn't a choice between humans and AI.
It’s choosing, deliberately, to get the best out of both.


AI companions can make mental health care easier to access, stay with people between appointments, and respond to their individual needs. But in a field built on vulnerability, trust, and human connection, accessibility alone is not enough.

That’s why I created The Sixth Algorithm — to keep what makes us human at the center of the AI conversation, especially when it comes to validation and guardrails.”

Founder, SkyMedAI
<br><a href=Amir Lahav">

Mental Health

Advising pioneering companies across four pillars:


1. Precision Digital Psychiatry

<br /> 1. Precision Digital Psychiatry

What if we could replace trial-and-error psychiatry with personalized treatment that’s right the first time?

<br /> 1. Precision Digital Psychiatry
  • Explainable AI for psychiatric decision support with clinician oversight
  • Clinical trial stratification for fewer screen failures and quicker enrollment
<br /> 1. Precision Digital Psychiatry
  • Building explainable AI that clinicians trust for psychiatric decisions
  • Validating AI diagnostic models across diverse populations
  • Navigating regulatory pathways with limited FDA precedent


2. Prevention & Wellbeing

<br />2. Prevention & Wellbeing

What if we could catch burnout, anxiety, and stress before they ever become clinical, keeping people well instead of waiting to treat them?

<br />2. Prevention & Wellbeing
  • Employers (B2B): burnout and resilience monitoring with human oversight
  • Consumer apps (B2C): adaptive AI for personalized coaching and micro-interventions
<br />2. Prevention & Wellbeing
  • Preventing the erosion of human autonomy through AI influence
  • Developing validated crisis algorithms for human-loop activation
  • Avoiding emotional dependency and unhealthy attachment to AI


3. Passive Prediction & Risk Sensing

<br />3. Passive Prediction & Risk Sensing

What if your phone, your watch, your clothes, and the sensors in your home could passively track your mental state, turning millions of data points into an early warning system that catches trouble before it’s obvious, without ever feeling like surveillance?

<br />3. Passive Prediction & Risk Sensing
  • Wearable biosensors and home-based ambient intelligence
  • Mental and behavioral health apps
  • Real-time voice and video analytics during telehealth
<br />3. Passive Prediction & Risk Sensing
  • Separating genuine crisis signals from everyday emotional noise
  • Setting alert thresholds that aid clinicians without causing burnout
  • Guarding sensitive biometric and behavioral data from misuse


4. Behavior Change & Recovery

<br />4. Behavior Change & Recovery

What if social robots and smartphone apps could work in tandem with human clinicians to support lasting behavioral change?

<br />4. Behavior Change & Recovery
  • Social robots and AI companions to ease isolation in recovery
  • Gamified VR therapeutics with measurable outcomes
  • Companion DTx (SaMD) paired with prescription drugs
<br />4. Behavior Change & Recovery
  • Optimizing behavioral nudges without crossing into manipulation
  • Mitigating algorithmic bias to ensure fairness across diverse groups
  • Capturing data without compromising user trust or privacy


Transforming Mental Health with AI?
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