Artificial intelligence (AI) has been talked about in the IT world for decades, but the potential of AI is just being opened due to the combination of data that is being collected and new applications of deep learning. AI, combined with deep learning, has the vast opportunity to quickly sort through data and provide insights that can be used to automate tasks and make faster decisions than ever before. This is especially impactful in the healthcare industry, where these capabilities are improving patient outcomes.
In the healthcare field, AI is making a significant impact in improving diagnostic efforts, lowering the cost of care, and reducing the cost of research on new drugs and treatment, just to name a few. According to Mike McNamara, senior manager of product and solution marketing at NetApp, “Doctors are now making, faster, more accurate diagnoses thanks to AI.”
“We offer smart, powerful, and trusted solutions to help data-driven organization unlock the potential of data science, from machine learning to deep learning,” McNamara wrote in a recent post. “By combining cloud-connected flash with the best supercomputing solutions, we accelerate AI outcomes at any scale.”
We are in a new era of AI, according to Jim McHugh, VP/GM of Deep Learning at NVIDIA, who was recently interviewed as a Data Visionary. “It’s because we are using data to help us define the functions we need in software. If you take enough data with enough capability, you can really accomplish amazing things.”
Here are three ways AI is changing healthcare, according to this infographic:
Faster, More Accurate Diagnosis:
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 five-times greater accuracy.
Accelerating R&D for Drugs:
AI enables 10 times the increase in the annual productivity to Alzheimer’s, cancer, and Multiple Sclerosis drug researchers alone. It also reduces the cost of bringing new drugs to the market by $2.6B during the 12-14 years of development time.
Improving Patient Outcomes:
Due to the vast amounts of data collected, clinicians are quickly diagnosing illnesses for faster treatment. Two million stroke patient neurons are being saved each minute from rapid AI diagnosis. Soon, healthcare professionals everywhere will use AI and retina imaging to quickly detect countless medical conditions.
“AI never tires,” McHugh explains . “It is constantly looking for new patterns and new insights.” With this in mind, the progress in industries like healthcare will only enable better patient outcomes and advances in R&D.
To learn more on how AI is rapidly improving the healthcare industry, visit NetApp.com/ai and download the full infographic from Future Healthcare Today: https://futurehealthcaretoday.com/wp-content/uploads/2019/03/AI_Infographic-Healthcare-R5-NET.pdf