Radiology AI Implementation Lab · Penn Medicine

Advancing trustworthy clinical AI from Penn Radiology

RAIL translates rigorously validated algorithms into workflows that fit how clinicians care for patients. We design, evaluate, and deploy AI that is transparent, equitable, and centered on real-world radiology needs.

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Implementation science Production-minded validation, monitoring, and workflow fit for every tool we ship.
Clinician partnership Close collaboration with radiologists, technologists, and trainees across Penn Medicine.
Equity & safety Built-in guardrails, bias review, and education to keep patients at the center.

Built on UPenn values

We pair research excellence with operational discipline to launch AI that clinicians trust.

  • Co-design with clinical teams for adoption and safety.
  • Transparent documentation and open communication.
  • Human-first experiences that respect patient dignity.

Impact in motion

See how our team pairs science, engineering, and human factors.

Research that informs practice

Explainability, fairness, and calibration studies guide how we steward AI responsibly.

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Researchers reviewing radiology AI outputs

Products clinicians adopt

We build decision support, triage, and education tools that plug into Penn Medicine workflows.

View our active projects

Radiology imaging dashboard

People who lead the field

Multidisciplinary faculty, trainees, and engineers teaching and mentoring across the system.

Meet the RAIL team

Team collaborating in a meeting room

Education & outreach

Hands-on training for radiologists and residents on AI literacy, risks, and use.

Monitoring in production

Performance drift, bias checks, and uptime reviews keep patients and clinicians protected.

Partnerships that scale

We collaborate with Penn Medicine IT, compliance, and quality teams to deploy responsibly.