AI in Healthcare: An Evolving Regulatory Challenge
Like in any industry, AI is impacting the micro and macro operations of hospitals, healthcare, and mental health. AI can analyze thousands of X-rays in seconds, predict patient risks, and even [...]
The Quiet Integration of AI Into Emergency Medicine
Artificial intelligence has long promised to transform healthcare. White papers describe faster diagnoses, reduced clinician burden, and data-driven precision that surpasses human limitations. Nowhere does this promise sound more compelling [...]
Why Hospitals Buy AI Slowly—and What Really Drives Decisions
When AI vendors talk to hospitals, they usually lead with flashy features: faster diagnostics, predictive models, real-time monitoring, or cost savings. It sounds impressive on paper—and in presentations, it often looks like the solution [...]
Chasing Real-World Data Without Crossing the Line: Balancing Insight and Compliance
Teams are hungry for data that reflects what actually happens outside of controlled clinical trials. But here’s the problem: while everyone wants RWE, nobody wants a privacy scandal. Navigating the [...]
How AI and Real-World Data Are Redesigning Clinical Trials Before Patients Enroll
When most people think about clinical trials, they picture doctors in lab coats, patients signing consent forms, and weeks or months of careful testing before any results emerge. What they don’t usually see [...]
AI promised a drug discovery revolution. Biology had other plans
For years, AI has been hailed as the future of drug discovery. Headlines promised faster cures, cheaper development costs, and a pipeline of medicines that could revolutionize healthcare. Venture capital [...]
After the clinical win comes the hard part
Digital therapeutics (DTx) are changing the way healthcare works. Unlike traditional apps or wellness tools, these products are designed to prevent, manage, or treat medical conditions using evidence-based interventions. Many [...]
