How to Improve Healthcare with AI and Deep Learning
Mike McNamara
The U.S. healthcare industry has more than 12 million diagnostic errors each year. Life expectancy is not improving, costs are too high, and physicians are overworked. And there is more medical data per patient than ever before. The good news, however, is that from medical imaging to analyzing genomes to discovering new drugs, artificial intelligence (AI) in healthcare is getting better and more sophisticated at doing what humans do, and doing it more accurately, more quickly, and with lower cost. A McKinsey review in 2018 predicted healthcare as one of the top five industries with more than 50 use cases that would involve AI, and over $1 billion has already been raised in startup equity.
Doctors are now making faster, more accurate diagnoses thanks to AI. Of heart patients, 61% are avoiding invasive angiograms, cutting treatment costs by 26%. AI is reducing diagnosis errors in breast cancer patients by 85% 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% 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. To learn more about NetApp® solutions for healthcare, visit NetApp booth #2779 at the HIMMS19 conference in Orlando, Florida, or visit NetApp.com to discover how NetApp and NVIDIA can help you accelerate your journey into the world of artificial intelligence.
Mike McNamara
Mike McNamara is a senior leader of product and solution marketing at NetApp with 25 years of data management and data storage marketing experience. Before joining NetApp over 10 years ago, Mike worked at Adaptec, EMC and HP. Mike was a key team leader driving the launch of the industry’s first cloud-connected AI/ML solution (NetApp), unified scale-out and hybrid cloud storage system and software (NetApp), iSCSI and SAS storage system and software (Adaptec), and Fibre Channel storage system (EMC CLARiiON). In addition to his past role as marketing chairperson for the Fibre Channel Industry Association, he is a member of the Ethernet Technology Summit Conference Advisory Board, a member of the Ethernet Alliance, a regular contributor to industry journals, and a frequent speaker at events. Mike also published a book through FriesenPress titled "Scale-Out Storage - The Next Frontier in Enterprise Data Management", and was listed as a top 50 B2B product marketer to watch by Kapos.
