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Technology

Clinical AI, built with clinical judgment

Dr. Ma works with a dedicated team of engineers, data scientists, and AI specialists on technology for mental health care and clinical education. Every product is held to one standard: would it be safe and genuinely useful in a real clinic?

What the team builds

Three ways to work together.

AI platforms

Proprietary AI platforms for mental health and care workflows — designed privacy-first, with clinicians in the loop, and judged by clinical value rather than engagement.

  • Privacy-first architecture
  • Clinician-in-the-loop by default
  • Evaluated against clinical outcomes

AI training for medical staff

Simulation-based training in which clinicians and staff rehearse real conversations — assessment, difficult news, de-escalation, supporting a patient with cognitive decline — and receive structured, evidence-based feedback.

  • Realistic patient simulations
  • Structured feedback on communication
  • Geriatric and mental health scenarios

Custom software, clinically reviewed

For hospitals, clinics, and digital health companies: software designed and built by the engineering team, with Dr. Ma providing clinical review of workflows, content, safety, and usability.

  • Contracted and delivered by the engineering team
  • Clinical review by Dr. Ma
  • Designed for users of every age

Principles

The standard of the clinic, applied to code.

01Clinical safety first
Risks are assessed before launch, not after — with clear escalation paths whenever a human should step in.
02Privacy by design
Minimal data, strong encryption, and HIPAA-aware architecture from the first line of code.
03Evidence over hype
Features earn their place through measurable benefit to patients and clinicians.
04Designed for every age
Informed by Dr. Ma’s research on how older adults use — and want to use — mental health technology.

Evidence base

Research behind the design choices

Technology engagements are separate from Dr. Ma’s clinical practice and from her appointment at Stanford University. Custom software is contracted with and delivered by the engineering team; Dr. Ma’s role is clinical review.

Partnerships

Technology worthy of patients’ trust.

Building something for clinicians or patients? Describe the project, the people it serves, and your timeline — the team will follow up.