Trends

AI-enabled clinical platforms now account for 1.59 million monthly visits—over one-third of traffic compared to traditional resources like UpToDate—yet remain unvalidated for clinical outcomes, raising urgent questions about patient safety and decision-making quality.

Delphi-2M, a generative transformer AI model, accurately predicts rates of over 1,000 diseases up to 20 years in advance by analyzing patient medical histories, demonstrating comparable accuracy to existing single-disease models while providing comprehensive health trajectory forecasting.

UC San Diego researchers used machine learning to identify a 53-gene signature separating inflammatory from tissue-healing macrophages and resolving the decades-long debate over NOD2's role in Crohn's disease.

While 86% of system-affiliated hospitals use predictive AI, only 37% of independent facilities have adopted these tools.

Despite 88% of health systems implementing AI internally, only 17% have established mature governance structures to manage these technologies safely and effectively, according to recent survey data

Google DeepMind's AlphaGenome processes 1 million DNA letters to predict genetic variant effects across 98% of the genome

A recent study reveals significant disparities in AI adoption between hospitals and private practices, highlighting an urgency for AI technologies in private practice.

According to AMA’s 2023 Digital Health Research, nearly 4 in 10 physicians in hospitals report access to AI tools, but only 1 in 10 for small group practitioners