Clinical Program
Bringing medical AI safely into live clinical environments
We work closely with NYU Langone’s Department of Neurosurgery to evaluate and operationalize AI systems where care is delivered—operating rooms, intensive care, and outpatient settings. Our team makes it routine and straightforward to assess clinical impact, usability, and safety.
In‑clinic AI evaluation, end to end
We embed with clinical teams to evaluate models under real‑world constraints—from data readiness and workflow fit to prospective performance, safety, and equity. Our processes streamline approvals and deployment so clinicians can focus on care while we focus on evidence.
- ● Rapid IRB and governance alignment
- ● Secure data pipelines and monitoring
- ● Prospective and shadow deployments
- ● Clinician‑in‑the‑loop feedback cycles
- ● Human factors and usability studies
- ● Safety, bias, and drift assessment
Clinical environments
Operating rooms
Intraoperative imaging, guidance, and decision support.
Neuro ICU
Continuous monitoring, risk prediction, and alerting.
Outpatient clinics
Documentation, triage, and longitudinal outcomes.
Imaging suites
Segmentation, reconstruction, and workflow automation.
Deployment contexts vary based on service line and study design.
Partner spotlight
NYU Langone Department of Neurosurgery
NYU Langone’s neurosurgery program is a high‑volume academic center with exceptional surgical expertise and a longstanding commitment to compassionate care. The department serves as a referral destination for complex cases and advances research spanning brain tumors, movement disorders, and foundational neuroscience.
Learn more about the program at NYU Langone: med.nyu.edu/departments-institutes/neurosurgery
Why it matters
Access to diverse, complex cases and advanced OR capabilities enables rigorous, real‑world AI evaluation.
How we collaborate
Joint study design, embedded workflows, and continuous clinician feedback from pilot to scale.
Have a clinical AI you want tested in the real world?
We help teams de‑risk deployments and generate the evidence needed for adoption.