Diagnosis Is Beside the Point
Some of the thorniest problems in medicine that AI can improve have nothing to do with diagnosis. They have to do with triage.
Reading the Body’s Signals: AI’s Ultimate Healthcare Opportunity
We are on the cusp of an age of anticipatory medicine, an explosion in our ability to read the body's signals and catch the killers before they do their damage.
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The Healthcare Payments Industry Faces a Perception Challenge
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
Spotting Alzheimer’s Years Earlier Through AI and Clinically Meaningful Insights
A few minutes of interaction with a digital tablet and speaking can reveal patterns that once required advanced imaging, years of observation, or were just completely undetectable.
Combined GI Procedures Are Becoming Routine – AI Can Help Address the Gap in Upper GI Quality Standards
Combined upper and lower GI endoscopy is becoming standard practice across many US healthcare settings, but the quality infrastructure for upper GI has not kept pace with the procedures now being performed on it.
The Real Test for AI Diagnostics Isn’t Performance — It’s Clinical Adoption
Cardiology, in particular, offers a clear view into why so many AI solutions struggle to scale and what differentiates those that are poised for adoption.
Two Imperatives for the Future of Diagnostics: Adaptability and Digitalization to Unlock the Potential of AI
While this kind of innovation and change can be challenging and is often a significant investment, it represents a powerful combination that can benefit individuals, healthcare professionals, and laboratories.
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From Blind Spots to Better Outcomes: How SNF Data Transparency Strengthens LTSS
What if health plans could identify member decline before an avoidable hospitalization occurs? Real-time clinical visibility into long-stay SNF members uncovers risk earlier and drives better outcomes.
How One Health System Is Embedding Diabetic Retinopathy Screening Into Primary Care
OhioHealth is scaling its use of Digital Diagnostics’ AI system that autonomously diagnoses diabetic retinopathy during primary care visits.