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How to Improve Healthcare with AI and Deep Learning

Mike McNamara
Mike McNamara

How to Improve Healthcare with AI and Deep Learnin - Inline Image 1The 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

Mike McNamara 是 NetApp 產品和解決方案行銷的資深主管,在資料管理和雲端儲存行銷領域擁有超過 25 年的豐富經驗。在十年前加入 NetApp 之前,Mike 曾任職於 Adaptec、Dell EMC 和 HPE 等公司。Mike 是推出第一方雲端儲存產品和業界第一款雲端連線 AI/ML 解決方案 (NetApp)、統一化橫向擴充和混合雲儲存系統與軟體 (NetApp)、iSCSI 和 SAS 儲存系統與軟體 (Adaptec),以及光纖通道儲存系統 (EMC CLARiiON) 的重要團隊領導者。此外他曾經擔任「光纖通道產業協會 (Fibre Channel Industry Association,FCIA)」的行銷主席,也是乙太網路技術高峰會議顧問委員會、乙太網路聯盟的成員,現在仍定期為業界期刊撰稿,並經常擔任活動講師。Mike 還透過 FriesenPress 出版了一本名為《橫向擴充儲存設備 - 企業資料管理的未來樣貌》的書籍,並被 Kapos 列為值得關注的 50 名 B2B 產品行銷人員。查看 Mike McNamara 的所有文章

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How to Improve Healthcare with AI and Deep Learning | NetApp Blog