Prospective Clinical Translation

The model is not finished when the paper is published.

We run prospective studies in the settings where our models are meant to work.

We evaluate biomedical AI prospectively, where technical performance meets clinical workflow, patient variability, and the realities of implementation.

Prospective studiesClinical workflowImplementationCommercialization
Computational model passing through a complete validation ring into a patient cohort
NeoNOVA project film

From bedside observation to clinical evidence.

The complete film introduces the clinical need, the sensing approach, and the path toward prospective evaluation.

Current field study

NeoNOVA

View trial registry
QuestionCan video-derived movement hold up in real NICU environments?
DesignProspective, silent observational
Scale200 participants
2 initial sites
MeasuresLandmark accuracy, Movement Index, and neurological assessment
Evidence to practice

One body of work crossing three translational thresholds.

01

Published evidence

The foundational study established the scientific basis for video-derived movement as a clinically meaningful digital biomarker.

Read the paper
02

Prospective evaluation

NeoNOVA tests reliability and clinical relevance in the environments and populations where the system is intended to work.

View NeoNOVA
03

Commercialization

Artemis AI Labs is a Mount Sinai spin-off advancing bedside computer-vision monitoring into clinical care.

Visit Artemis
The standard
Not whether a model works once—but whether it continues to matter in practice.