Beyond Medical AI and AI Drug Discovery: Why Biomedicine Needs World Models
The article discusses the evolution of AI in medicine, highlighting two major waves: medical AI and AI drug discovery. It emphasizes the need for biomedical world models to address complex intervention questions in patient care. These models aim to predict how interventions may change patient trajectories over time, moving beyond simple predictions to a more nuanced understanding of biological systems.
- ▪AI in medicine has progressed through two main waves: medical AI and AI drug discovery.
- ▪Current medical AI systems excel at perception and prediction but struggle with intervention questions.
- ▪Biomedical world models are proposed as frameworks to understand how interventions can alter patient trajectories.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3919256) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } JXIONG Posted on May 18 Beyond Medical AI and AI Drug Discovery: Why Biomedicine Needs World Models #ai #steerability #steeramed #biomedicine Over the past decade, AI in medicine has mostly moved through two major waves. The first wave was medical AI.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
