{"id":9563,"date":"2018-12-18T13:56:24","date_gmt":"2018-12-18T13:56:24","guid":{"rendered":"https:\/\/microsites.bournemouth.ac.uk\/cel\/?p=9563"},"modified":"2018-12-18T13:56:24","modified_gmt":"2018-12-18T13:56:24","slug":"12-days-of-ai-healthcare-impact-innovations","status":"publish","type":"post","link":"https:\/\/microsites.bournemouth.ac.uk\/flie\/2018\/12\/18\/12-days-of-ai-healthcare-impact-innovations\/","title":{"rendered":"12 Days of AI Healthcare impact innovations"},"content":{"rendered":"<h1>Top 12 Ways Artificial Intelligence Will Impact Healthcare<\/h1>\n<h2>Artificial intelligence is poised to become a transformational force in healthcare. How will providers and patients benefit from the impact of AI-driven tools?<\/h2>\n<p>AI offers a number of advantages over traditional analytics and clinical decision-making techniques.\u00a0 Learning algorithms can become more precise and accurate as they interact with training data, allowing humans to gain insights\u00a0into diagnostics, care processes, treatment variability, and patient outcomes.<\/p>\n<p>Katherine Andriole, PhD, Director of Research Strategy and Operations at Massachusetts General Hospital (MGH), counted down the top 12 ways artificial intelligence will revolutionize the delivery and science of healthcare.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>UNIFYING MIND AND MACHINE THROUGH BRAIN-COMPUTER INTERFACES<\/strong><\/p>\n<p>Brain-computer interfaces could drastically improve quality of life for patients with ALS, strokes, or locked-in syndrome, as well as the 500,000 people worldwide who experience spinal cord injuries every year.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>DEVELOPING THE NEXT GENERATION OF RADIOLOGY TOOLS<\/strong><\/p>\n<p>Artificial intelligence will enable the next generation of radiology tools\u00a0that are accurate and detailed enough to replace the need for tissue samples in some cases, experts predict.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>EXPANDING ACCESS TO CARE IN UNDERSERVED OR DEVELOPING REGIONS<\/strong><\/p>\n<p>Artificial intelligence could help mitigate the impacts of the severe deficit\u00a0of qualified clinical staff by taking over some of the diagnostic duties typically allocated to humans.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>REDUCING THE BURDENS OF ELECTRONIC HEALTH RECORD USE<\/strong><\/p>\n<p>Artificial intelligence may also help to process routine requests from the inbox, like medication refills and result notifications.\u00a0 It may also help to prioritize tasks that truly require the clinician\u2019s attention, making it easier for users to work through their to-do lists.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>CONTAINING THE RISKS OF ANTIBIOTIC RESISTANCE<\/strong><\/p>\n<p>Electronic health record data can help to identify infection patterns\u00a0and highlight patients at risk before they begin to show symptoms.\u00a0 Leveraging machine learning and AI tools to drive these analytics can enhance their accuracy and create faster, more accurate alerts for healthcare providers.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>CREATING MORE PRECISE ANALYTICS FOR PATHOLOGY IMAGES<\/strong><\/p>\n<p>Analytics that can drill down to the pixel level on extremely large digital images can allow providers to identify nuances that may escape the human eye.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>BRINGING INTELLIGENCE TO MEDICAL DEVICES AND MACHINES<\/strong><\/p>\n<p>Smart devices are taking over the consumer environment, offering everything from real-time video from the inside of a refrigerator to cars that can detect when the driver is distracted.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>ADVANCING THE USE OF IMMUNOTHERAPY FOR CANCER TREATMENT<\/strong><\/p>\n<p>Machine learning algorithms and their ability to synthesize highly complex datasets may be able to illuminate new options for targeting therapies to an individual\u2019s unique genetic makeup.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>TURNING THE ELECTRONIC HEALTH RECORD INTO A RELIABLE RISK PREDICTOR<\/strong><\/p>\n<p>EHR analytics have produced many successful risk scoring and stratification tools, especially when researchers employ deep learning techniques to identify novel connections between seemingly unrelated datasets.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>MONITORING HEALTH THROUGH WEARABLES AND PERSONAL DEVICES<\/strong><\/p>\n<p>Almost all consumers now have access to devices with sensors that can collect valuable data about their health.\u00a0 From smartphones with step trackers to wearables that can track a heartbeat\u00a0around the clock, a growing proportion of health-related data is generated on the go.<\/p>\n<p>Collecting and analyzing this data \u2013 and supplementing it with patient-provided information through apps and other home monitoring devices \u2013 can offer\u00a0a unique perspective into individual and population health.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>MAKING SMARTPHONE SELFIES INTO POWERFUL DIAGNOSTIC TOOLS<\/strong><\/p>\n<p>The quality of cell phone cameras is increasing every year, and can produce images that are viable for analysis by artificial intelligence algorithms.\u00a0Dermatology and opthalmology\u00a0are early beneficiaries of this trend.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>REVOLUTIONIZING CLINICAL DECISION MAKING WITH ARTIFICIAL INTELLIGENCE AT THE BEDSIDE<\/strong><\/p>\n<p>AI can provide earlier warnings for conditions like seizures or sepsis, which often require intensive analysis of highly complex datasets.<\/p>\n<p>&nbsp;<\/p>\n<p>For full report read:<\/p>\n<p><a href=\"https:\/\/healthitanalytics.com\/news\/top-12-ways-artificial-intelligence-will-impact-healthcare\">https:\/\/healthitanalytics.com\/news\/top-12-ways-artificial-intelligence-will-impact-healthcare<\/a><\/p>\n<a href=\"https:\/\/microsites.bournemouth.ac.uk\/flie\/files\/2018\/12\/download.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-9564\" src=\"https:\/\/microsites.bournemouth.ac.uk\/flie\/files\/2018\/12\/download-300x166.jpg\" alt=\"\" width=\"300\" height=\"166\" srcset=\"https:\/\/microsites.bournemouth.ac.uk\/flie\/files\/2018\/12\/download-300x167.jpg 300w, https:\/\/microsites.bournemouth.ac.uk\/flie\/files\/2018\/12\/download.jpg 302w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/a>\n","protected":false},"excerpt":{"rendered":"<p>Top 12 Ways Artificial Intelligence Will Impact Healthcare Artificial intelligence is poised to become a transformational force in healthcare. How will providers and patients benefit from the impact of AI-driven tools? AI offers a number of advantages over traditional analytics and clinical decision-making techniques.\u00a0 Learning algorithms can become more precise and accurate as they interact&#8230;  <a class=\"excerpt-read-more\" href=\"https:\/\/microsites.bournemouth.ac.uk\/flie\/2018\/12\/18\/12-days-of-ai-healthcare-impact-innovations\/\">Read more &raquo;<span class=\"sr-only\"> about 12 Days of AI Healthcare impact innovations<\/span><\/a><\/p>\n","protected":false},"author":2066,"featured_media":9564,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5],"tags":[882,889,1037],"class_list":["post-9563","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-ai","tag-digital-health","tag-health"],"acf":[],"_links":{"self":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/posts\/9563","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/users\/2066"}],"replies":[{"embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/comments?post=9563"}],"version-history":[{"count":1,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/posts\/9563\/revisions"}],"predecessor-version":[{"id":9565,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/posts\/9563\/revisions\/9565"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/media\/9564"}],"wp:attachment":[{"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/media?parent=9563"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/categories?post=9563"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/microsites.bournemouth.ac.uk\/flie\/wp-json\/wp\/v2\/tags?post=9563"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}