Fine-tuned ECG interpretation for clinical AI evaluation.
MedsCast helps healthcare providers evaluate a domain-specific ECG reasoning model through controlled demos, validation conversations, and customer-specific deployment planning.
ECG reasoning model
Built around structured clinical interpretation.
The controlled evaluation experience is designed to show how the model reasons over ECG findings while preserving uncertainty and clinician oversight.
Approved-access demo
Evaluate curated ECG cases after approval.
Demo access is provided to approved healthcare, research, and provider-pilot users. Patient ECG uploads are not part of the public evaluation workflow.
Request access
MedsCast reviews clinical, research, or provider-pilot evaluation requests.
Review sample cases
Approved users browse curated ECG samples with de-identified clinical context.
Evaluate outputs
Structured reports, limitations, and feedback are reviewed in a controlled workspace.
Deployment path
Designed for customer-specific access decisions.
Early conversations will determine whether customers prefer a hosted model API, a dedicated private endpoint, or deployment inside their own environment.
Controlled evaluation
Approved users can review curated, de-identified ECG sample cases in a controlled demo workspace.
Hosted API
Future API access for de-identified ECG interpretation once customer requirements are defined.
Private deployment
Dedicated customer cloud, VPC, or on-prem deployment path for provider-specific governance needs.