I recently wrote about the promise of AI and its potential to play an important role in transforming how physicians interact with technology. Even today, AI is making meaningful inroads in specialties ranging from radiology to cardiology. The potential for AI to help physicians work faster and with greater accuracy has industry analysts predicting explosive >10x growth in this decade alone, with estimates reaching $96 billion in 2028.

That said, most physicians are only beginning to become familiar with AI and understand its use cases. This article will look at what AI currently can do in medical settings and where more time and innovation are needed.

Current AI Strengths

Generally speaking, AI can support clinicians today through enhanced data analysis and workflow improvements such as the following.

1. Historical Health Data Organization

Healthcare providers have massive data sets across multiple technology systems. Advances in deep learning, a type of AI that mirrors how humans gain knowledge, now enable the rapid analysis of highly complex datasets to deliver meaningful insights to clinicians.