Healthcare Storage Modernization

AI in Healthcare Reduces Number of Diagnostic Errors

Editorial Team
Written by Editorial Team

The sheer volume of medical data that is associated with each patient in today’s healthcare systems is staggering and increases each time a patient sees a doctor, undergoes tests, or is admitted to the hospital. Being able to manage and access that data in real-time to deliver more accurate diagnoses and avoid contraindicated treatments is critical. Yet despite all the patient data that is available, there are still more than 12 million diagnostic errors each year in the United States.

According to Mike McNamara, senior manager of product and solution marketing at NetApp, the rise of artificial intelligence (AI) in healthcare will help clinicians lower this error rate by changing how data is analyzed and applied. In a recent post, McNamara writes about how AI is helping to make more accurate diagnoses at a faster rate, while reducing costs. Read what he has to say below:

AI in Healthcare

Mike McNamara, senior manager of product and solution marketing at NetApp

Doctors are now making faster, more accurate diagnoses thanks to AI. Of heart patients, 61 percent are avoiding invasive angiograms, cutting treatment costs by 26 percent. AI is reducing diagnosis errors in breast cancer patients by 85 percent and enabling MRIs to accelerate image reconstruction by a factor of 100—with 5-times greater accuracy.

AI allows drug researchers to expedite discovery and development and can reduce the cost of bringing new drugs to market during their 12–14 years of development. AI analyzes millions of molecules to quickly identify potential drugs and lower development costs, and researchers of Alzheimer’s, cancer, and multiple sclerosis drugs report a tenfold increase in their productivity.

As a result of AI, healthcare costs are falling, and outcomes are improving. The cost of AI-automated breast cancer risk assessments is 5 percent lower compared with current genomic tests. Two million stroke patient neurons are being saved each minute by rapid AI diagnoses, and tens of millions of healthcare professionals globally will use AI and retina imaging to quickly detect countless medical conditions.

Today’s data visionaries are joining NetApp and NVIDIA to apply AI and deep learning to healthcare’s greatest challenges. Together, we are accelerating medical discoveries and improving patient care. Visit to learn more about NetApp solutions for healthcare and discover how NetApp and NVIDIA can help you accelerate your journey into the world of artificial intelligence.

About the author

Editorial Team

Editorial Team

The GovDataDownload editorial team consists of Shany Seawright, Chelsea Barone, and Margaret Brown. You can reach the team at