The promise of artificial intelligence (AI) is greater in healthcare than in almost any other industry. From improving patient outcomes and care to expanding the reach of medical expertise and reducing costs, the potential benefits are huge.
However, AI efforts in healthcare to date have barely scratched the surface of what will eventually be possible. The healthcare industry remains behind other industries in AI adoption. This lag is largely due to data privacy, data specificity, budget limitations, and access issues.
Three prominent use cases for AI in healthcare are medical imaging, digital pathology, and genomics. The use of AI in these use cases has not only increased the speed and accuracy of diagnosis, it has also enabled earlier detection of important diseases such as breast cancer. Although these technologies are independent, they are often employed together as part of an extended diagnostic workflow: Medical imaging leads to a biopsy, and examination of the biopsy results by a pathologist leads to a genomic study, which is used to develop a treatment plan that is personalized to the patient’s genome or observed genetic markers.
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.
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