How I Judge a Healthcare AI Paper in 10 Minutes скачать в хорошем качестве

How I Judge a Healthcare AI Paper in 10 Minutes

Healthcare AI papers, machine learning in medicine, and clinical prediction models are being published at an extraordinary pace — but not all evidence is equally useful. In this video, I share how I judge a healthcare AI paper in 10 minutes — a practical framework I use to quickly assess whether a study is serious, clinically meaningful, and worth a deeper read. Rather than focusing on algorithms alone, I explain the key questions I ask about: The clinical decision the model is meant to support Who the data represents — and who it excludes Whether the evaluation is retrospective or prospective The choice of outcome and time horizon What sits behind headline metrics like AUC or accuracy Where the model would realistically fit within clinical workflow This is not about dismissing research. It is about developing better judgement when reading healthcare AI literature. If you are a clinician, researcher, or student working at the intersection of AI and healthcare, these questions will help you separate strong evidence from superficial performance.