Radiologists Need AI That Works Where They Work, Not Standalone Software
Current AI tools often increase the disruption that radiologists already experience from using non-integrated platforms.
The Terminology Gap Undermining Cervical Cancer Screening Guidelines
While the Pap identifies the cell changes, the HPV test determines the root cause before those changes even happen. Both tests have saved lives. But they are not interchangeable, and treating them as such puts the patient at risk.
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New Webinar: The Payer AI Readiness Gap: Why Better Data Will Define the Next Era of Health Plan Performance
We'll explore why the next era of payer performance will depend on building a trusted data foundation that connects people, providers, and relationships across the enterprise.
Why Generative AI Isn’t Enough: The Case for Causal Reasoning in Medicine
AI built on transparent, causal reasoning, systems that ground every output in validated biological mechanisms, show the pathway behind each recommendation, and cite their sources is what makes the difference between a tool that erodes clinical trust and one that rebuilds it.
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.
Shifting Our Focus to Sample Sensitivity: The Metric That Deserves More Attention in Respiratory Care
The positive ripple effect of high specimen sensitivity influences the clarity of diagnoses, the timing of treatment and the efficiency of care delivery across systems, while also protecting communities from further disease spread for stronger outbreak control.
The Illusion of Visibility: Why More Data Doesn’t Mean Better Decisions
When every metric is treated as important, nothing actually stands out. Leaders spend more time interpreting data than acting on it. And in a system as complex as healthcare, delays in decision-making can have real operational and financial consequences.
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The Healthcare Payments Industry Has a Perception Problem
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
Aging is Soon to Be a Preventable Disease
For most of human history, cellular aging was treated as biologically fixed, an inevitable accumulation of damage with no meaningful pathway to reversal. That assumption is no longer tenable.
The Next Useful Layer in Radiology AI is Patient Comprehension
The first truly scalable and transformative use of AI in medical imaging may not be autonomous diagnosis. Instead, it may be the creation of a "translation layer" designed to help patients actually understand the complex information they are already receiving.
AI Health Check: No Governance, No Trust
Will doctors or patients who are burned by one AI solution trust the next one they’re given? Probably not. That’s why every provider rolling out AI tools has to understand this risk and build governance into its development process.
AI in Digital Health, From Early Detection to Responsible Deployment
When structured oversight meets practical innovation, the result is systems that are not only technically sound but actually usable.
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Top 7 Modern AI-Powered EAP Providers for Global Workforces in 2026
Discover the top AI-powered EAP providers for 2026. Compare platforms like Kyan Health and Spring Health on triage speed, global reach, and clinical quality to transform workforce wellbeing.
The Future of Healthcare Screenings: The Power of Vocal Biomarkers
What sets vocal analysis apart is its simplicity and scale. Through a single 40‑second voice sample, multiple conditions can be screened simultaneously — no needles, no lab visits, and no physical presence required.
Why We’re Still Finding Cancer Too Late
The truth is there are ways to understand our cancer risk more precisely than we do today, and there are tools to manage it. What’s missing is awareness, access, and a system built to help us use these tools before something goes wrong.
The Cancer Crisis We Can See Coming And Have the Tools to Change
Colon cancer has long been considered a disease that comes with old age. However, the trend line of disease has been moving in the wrong direction for years, in a population we long assumed wasn’t at risk. And while researchers continue to investigate the why, there's a parallel conversation we aren't having nearly enough. One that has nothing to do with science, and everything to do with operations.
The Key Biomarkers Changing How and When We Diagnose Alzheimer’s Disease
Innovations in biomarker science, particularly in cerebrospinal fluid (CSF) and blood, are expanding Alzheimer’s testing beyond specialty care.
The Last Mile Problem in AI Radiology: Detection Improves, Follow-Through Breaks
The next wave of radiology AI value will come from closed-loop follow-up. An actionable finding should start a pathway with a measurable end state: the follow-up exam is completed, the referral is completed, or the recommendation is clinically resolved with a documented rationale.