Three Things Your AI Vendor Won’t Tell You
Don’t let your clinical AI operate in a “blind spot” where vendors grade their own homework. Without independent verification, AI adoption isn’t innovation, it’s operational gambling.
Deployment Before Evidence: Healthcare AI Is Flying Blind
From defining what meaningful AI validation actually requires, to outlining how health systems can measure real-world performance, manage risk, ensure safety and align incentives with outcomes. This session will equip leaders with information and insight toward responsible, scalable AI adoption.
Webinar: One Scorecard for Every Model, The New Playbook for AI Governance
Join AWS and the Ferrum team to walk through real examples of health systems that shifted from piecemeal dashboards to a cloud-first governance layer. You will leave knowing how to use the data you already own to run safer, more effective AI at enterprise scale.
Webinar–From FDA Cleared to Clinical: Making AI Work at the Bedside
Webinar–From Finding to Follow-Through: How AI Closes the Gap in Patient Care
Detection is only step one. Health systems have made real progress on finding things earlier and more accurately, but the harder problem sits downstream.
Breast Imaging AI is Changing, how?
Breast Imaging AI is Changing, find out how below.
Clinical AI: The Readiness Framework
Right now, too many healthcare organizations are paying a heavy “Fragmentation Tax”—rebuilding integration logic for every new model, stalling their clinical fleets, and inflating their Total Cost of Ownership.
Observability Lens: Vendor Neutral Ground Truth
Some identify findings clinicians may overlook, while others incorrectly flag normal cases. Over time, some models degrade as patient populations change or vendors update software.
Catch Up With us at SIIM
We’d love to connect in person at SIIM, schedule a meeting today.