
Case Study: Understanding AI Startups in Radiology
Radiology has been at the forefront of AI adoption in clinical practice. Startups in this space often promise rapid image interpretation, early disease detection, workflow optimization, and even diagnostic support. While these innovations offer exciting possibilities, it is critical for clinicians to understand both what these tools offer — and what they don’t. This case…

Case Study: AI Startups in Early Warning Systems
Artificial Intelligence is increasingly being marketed as a solution for identifying early warning signs of clinical deterioration — such as sepsis, cardiac arrest, or respiratory failure. While the promise of anticipating critical illness is compelling, clinicians must approach these tools with caution, especially when the marketing outpaces the science. This page highlights what these AI…