A short video has been circulating in our circles: two people stood before a machine that renders the human body in shimmering cross-section. Waveforms, a rotating skull, the nervous system laid bare. It is genuinely impressive technology. It is also, I think, a good place to pause and ask a question that medicine has not answered well in two hundred… Continue reading The Whole Patient: What AI in Medicine Risks Forgetting
As someone who works in education, I often think about how AI is changing the way we learn and teach. Artificial intelligence has become part of our daily routine, from helping us write to generating art or analysing data. It makes things faster and more convenient, but I sometimes wonder if it also makes us forget what being human really… Continue reading Artificial Intelligence and the Purpose of Knowledge
If you’re trained in epidemiology or biostatistics, you likely think in terms of models, inference, and evidence. Now, with machine learning entering the scene, you’re probably hearing about algorithms that can “predict” disease, “detect” outbreaks, and “learn” from data. But while ML offers exciting possibilities, it’s important to understand how it differs from classical statistical approaches—especially when public health decisions… Continue reading Statistics and Machine Learning in Public Health: When to Use What