{"id":20725,"date":"2019-02-14T09:00:16","date_gmt":"2019-02-14T14:00:16","guid":{"rendered":"http:\/\/www.carecloud.com\/continuum\/?p=20725"},"modified":"2025-10-24T12:26:04","modified_gmt":"2025-10-24T12:26:04","slug":"ai-in-healthcare","status":"publish","type":"post","link":"https:\/\/carecloud.com\/continuum\/ai-in-healthcare\/","title":{"rendered":"Artificial Intelligence in Healthcare: The Future of Healthcare"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Artificial intelligence (AI) has begun to disrupt healthcare in ways people could only imagine not long ago. And, the technology shows no signs of slowing down. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">As companies experiment with different ways to use AI, patients, doctors, and others in the medical industry have opportunities to benefit. Here are 10 ways AI has impacted healthcare.<\/span><\/p>\n<ul>\n<li>\n<h2><b>1. Assisting Emergency Medicine Dispatchers With Assessing Situations<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Emergency medicine dispatchers have to keep callers calm while simultaneously evaluating the symptoms described, then use the information given to determine the urgency of a call. These professionals are fantastic at their jobs, but, like anyone else, they can make mistakes. An AI platform called Corti aims to prevent harmful errors.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It analyzes things like tone of voice, breathing patterns and the descriptions of symptoms, then compares them to an ever-growing database of past calls. Corti <\/span><a href=\"https:\/\/medium.com\/authority-magazine\/in-the-nick-of-time-how-ai-is-transforming-emergency-response-systems-to-help-save-lives-f924e54389ab\"><span style=\"font-weight: 400;\">increases efficiency and accuracy<\/span><\/a><span style=\"font-weight: 400;\"> and even suggests questions dispatchers should ask when triaging patients.<\/span><\/p>\n<ul>\n<li>\n<h2><b>2. Improving Patient Compliance and Empowerment<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Chatbots are an increasingly popular way to apply healthcare AI, especially since people are already comfortable with chat-based messaging platforms. Some companies have explored how chatbots could help patients follow doctors&#8217; orders. One of them is <\/span>Florence<\/span>span style=&#8221;font-weight: 400;&#8221;>. It reminds people to take medications at specified times and can help them keep track of progress toward health goals. <\/span><\/p>\n<p><span style=\"font-weight: 400;\">There&#8217;s also <\/span><a href=\"http:\/\/www.sensely.com\/\"><span style=\"font-weight: 400;\">Sensely<\/span><\/a><span style=\"font-weight: 400;\">, a virtual nurse platform that analyzes voice input but also has a chat-only option. If needed, Sensely can help people find locations to receive care or give them self-care information that&#8217;s relevant to their situations. <\/span><\/p>\n<ul>\n<li>\n<h2><b>3. Providing Guidance to Radiologists<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Medical imaging procedures can help members of a patient&#8217;s care team understand more about what&#8217;s going on and how to treat it. Samsung is among the companies leading the way in <\/span><a href=\"https:\/\/www.zdnet.com\/article\/samsung-applies-ai-to-medical-imaging\/\"><span style=\"font-weight: 400;\">using AI to assist radiologists<\/span><\/a><span style=\"font-weight: 400;\">. It has technologies that more accurately detect lung nodules and display images of lung tissues concealed by bone structures in chest X-rays.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Another AI-driven technology from Samsung looks for breast legions and increases successful diagnosis rates of doctors who have four years or less of experience. Other companies are also looking into ways to use AI to help radiologists, so more changes in this area will likely happen soon.<\/span><\/p>\n<ul>\n<li>\n<h2><b>4. Identifying Cancerous Moles<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Dermatologists urge patients to perform regular skin checks and look for signs that moles could be cancerous. People learn that if moles develop irregular borders or change color or size, those things could indicate malignancy and mean they should make appointments with their health care providers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, there could soon be an increase in health care AI tools that examine moles and assist dermatologists with spotting the potentially dangerous ones. In one case study, an AI-powered machine identified cancerous moles <\/span><a href=\"https:\/\/www.theguardian.com\/society\/2018\/may\/29\/skin-cancer-computer-learns-to-detect-skin-cancer-more-accurately-than-a-doctor\"><span style=\"font-weight: 400;\">more accurately than doctors<\/span><\/a><span style=\"font-weight: 400;\"> and had fewer instances of classifying benign moles as malignant.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Other technologies are likely to positively impact the healthcare industry, such as Dr. Geoff Tabin\u2019s eye care model that restored sight in <\/span><a href=\"https:\/\/www.leadingauthorities.com\/blog\/speakers-on-the-future-of-healthcare\"><span style=\"font-weight: 400;\">hundreds of thousands of patients<\/span><\/a><span style=\"font-weight: 400;\"> with a $25 treatment. In these innovative times, there\u2019s no telling what seemingly miraculous treatments and preventions we\u2019ll see.<\/span><\/p>\n<ul>\n<li>\n<h2><b>5. Alerting Doctors of Problems Before Symptoms Appear<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Physicians often take proactive measures by encouraging people to maintain healthy diets and take part in regular exercise. The hope is that by doing those things, patients could stave off future health complications. However, there are early developments in using AI to <\/span><a href=\"http:\/\/www.bbc.com\/future\/story\/20190116-the-invisible-warning-signs-that-predict-your-future-health\"><span style=\"font-weight: 400;\">detect issues before symptoms become evident<\/span><\/a><span style=\"font-weight: 400;\">, which could forever change preventative care.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Google researchers are investigating how looking at blood vessels in the eyes could give indicators of cardiovascular health, and there is another system that detects a person&#8217;s body movement through walls and analyzes it with machine learning. By using tools like those, doctors could get alerts about health problems that they might not otherwise notice for months.<\/span><\/p>\n<ul>\n<li>\n<h2><b>6. Making Blood Tests More Efficient<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Once patients get their blood drawn at medical appointments, it&#8217;s typical for them to wait several days to get results. But, an Israeli company called <\/span><a href=\"https:\/\/www.sightdx.com\/\"><span style=\"font-weight: 400;\">Sight Diagnostics<\/span><\/a><span style=\"font-weight: 400;\"> wants to change that with a healthcare AI system that <\/span><a href=\"http:\/\/www.digitaljournal.com\/life\/health\/ai-based-diagnostic-for-faster-blood-tests\/article\/527034\"><span style=\"font-weight: 400;\">gives results in about 10 minutes<\/span><\/a><span style=\"font-weight: 400;\">. It examines drops of blood using 19 parameters and an image analysis component that counts blood cell types.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This advancement means providers could start patients on the necessary treatments during their initial visits instead of during follow-up appointments. Moreover, the expedited process could reduce the anxiety people feel when waiting for their results.<\/span><\/p>\n<ul>\n<li>\n<h2><b>7. Increasing Surgical Success Rates<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The use of AI during surgery is still in the early stages, but the technology could minimize errors during operations and give surgeons insights as they perform procedures. Often, surgical robots have AI components that <\/span><a href=\"https:\/\/www.roboticsbusinessreview.com\/health-medical\/ai-assisted-surgery-improves-patient-outcomes\/\"><span style=\"font-weight: 400;\">improve overall performance and accuracy<\/span><\/a><span style=\"font-weight: 400;\">. One example of health care AI making surgeries more successful is a robotic hand that depends on AI to stabilize tremors in a surgeon&#8217;s hands.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AI tools can also minimize uncertainty by providing better visibility during and before procedures. All operations come with risks, but these applications of AI and others could keep patients safer and give them better results.<\/span><\/p>\n<ul>\n<li>\n<h2><b>8. Helping People Overcome Substance Abuse<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Even exceptionally dedicated individuals who are working toward substance abuse recovery often relapse. A platform called <\/span><a href=\"https:\/\/triggrhealth.com\/\"><span style=\"font-weight: 400;\">Triggr Health<\/span><\/a><span style=\"font-weight: 400;\"> aims to reduce that likelihood. It uses AI to analyze various forms of content from users to <\/span><a href=\"https:\/\/www.technologyreview.com\/s\/604085\/treating-addiction-with-an-app\/\"><span style=\"font-weight: 400;\">predict when people may use<\/span><\/a><span style=\"font-weight: 400;\"> their substances of choice. When the probability becomes high, notifications go out to the patient&#8217;s caregivers and alert them to intervene.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Using AI like this could be especially useful for patients living in rural areas who are attempting to detox but cannot attend regular in-person visits. Additionally, it could work well for people who are not always aware of the various factors that push them to use.<\/span><\/p>\n<ul>\n<li>\n<h2><b>9. Supporting Customers With Their Health Insurance Plans<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Health insurance plans can intimidate customers, especially if they subscribed to new plans recently or haven&#8217;t made claims before. A health insurance company in New Zealand aimed to combat the issues that can arise from a lack of information. It created chatbots that let people ask questions about their plans. The technology <\/span>even recognizes Kiwi slang<\/span><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is an instance \u2014 like most of the others here \u2014 where AI supplements humans. The use of chatbots relieved burdens on customer service staff members and allowed plan subscribers to get fast access to need-to-know information.<\/span><\/p>\n<ul>\n<li>\n<h2><b>10. Bringing Drugs to Market Faster Than Before<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Many people with life-altering illnesses wait anxiously for new drugs to get approved so they can benefit from them. Some agree to participate in clinical trials that gauge the efficacy of new pharmaceutical products. The costs and timeframes associated with commercializing new drugs are going up, <\/span><a href=\"https:\/\/www.ert.com\/blog\/transforming-clinical-trials-through-the-power-of-ai\/\"><span style=\"font-weight: 400;\">but healthcare AI could help<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Potential applications are still under development, and it&#8217;ll probably be a while before people recognize the full potential of using AI when working on the goal of bringing new drugs to the market. However, <\/span><a href=\"https:\/\/emerj.com\/ai-sector-overviews\/ai-machine-learning-clinical-trials-examining-x-current-applications\/\"><span style=\"font-weight: 400;\">current AI applications include<\/span><\/a><span style=\"font-weight: 400;\"> using the technology to find the most appropriate candidates for trials, design the trials and improve patient engagement throughout trials.<\/span><\/p>\n<ul>\n<li>\n<h2><b>Exciting Developments on the Horizon<\/b><\/h2>\n<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This list highlights why healthcare AI is so promising for people who work in healthcare and all the patients who benefit from those professionals. Artificial intelligence will continue to positively impact AI for the foreseeable future \u2014 as well as in ways we haven&#8217;t envisioned yet.<\/span><\/p>\n<p><span style=\"display: none;\" data-sumome-listbuilder-embed-id=\"63167955acecc7c017d1349e21976b34c69d1681cdcbe88c9a25211c5006fd11\">DUMMYTEXT<\/span><\/p>\n<p><strong>Sources:\u00a0<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/medium.com\/authority-magazine\/in-the-nick-of-time-how-ai-is-transforming-emergency-response-systems-to-help-save-lives-f924e54389ab\">https:\/\/medium.com\/authority-magazine\/in-the-nick-of-time-how-ai-is-transforming-emergency-response-systems-to-help-save-lives-f924e54389ab<\/a><\/li>\n<li><a href=\"http:\/\/www.sensely.com\/\">http:\/\/www.sensely.com\/<\/a><\/li>\n<li><a href=\"https:\/\/www.zdnet.com\/article\/samsung-applies-ai-to-medical-imaging\/\">https:\/\/www.zdnet.com\/article\/samsung-applies-ai-to-medical-imaging\/<\/a><\/li>\n<li><a href=\"https:\/\/www.theguardian.com\/society\/2018\/may\/29\/skin-cancer-computer-learns-to-detect-skin-cancer-more-accurately-than-a-doctor\">https:\/\/www.theguardian.com\/society\/2018\/may\/29\/skin-cancer-computer-learns-to-detect-skin-cancer-more-accurately-than-a-doctor<\/a><\/li>\n<li><a href=\"https:\/\/www.leadingauthorities.com\/blog\/speakers-on-the-future-of-healthcare\">https:\/\/www.leadingauthorities.com\/blog\/speakers-on-the-future-of-healthcare<\/a><\/li>\n<li><a href=\"http:\/\/www.bbc.com\/future\/story\/20190116-the-invisible-warning-signs-that-predict-your-future-health\">http:\/\/www.bbc.com\/future\/story\/20190116-the-invisible-warning-signs-that-predict-your-future-health<\/a><\/li>\n<li><a href=\"http:\/\/www.digitaljournal.com\/life\/health\/ai-based-diagnostic-for-faster-blood-tests\/article\/527034\">http:\/\/www.digitaljournal.com\/life\/health\/ai-based-diagnostic-for-faster-blood-tests\/article\/527034<\/a><\/li>\n<li><a href=\"https:\/\/www.sightdx.com\/\">https:\/\/www.sightdx.com\/<\/a><\/li>\n<li><a href=\"https:\/\/triggrhealth.com\/\">https:\/\/triggrhealth.com\/<\/a><\/li>\n<li><a href=\"https:\/\/www.technologyreview.com\/s\/604085\/treating-addiction-with-an-app\/\">https:\/\/www.technologyreview.com\/s\/604085\/treating-addiction-with-an-app\/<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) has begun to disrupt healthcare in ways people could only imagine not long ago. And, the technology shows no signs of slowing down. As companies experiment with different ways to use AI, patients, doctors, and others in the medical industry have opportunities to benefit. Here are 10 ways AI has impacted healthcare. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":43694,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[389],"tags":[],"class_list":["post-20725","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-resources"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Future of Artificial Intelligence (AI) in Healthcare<\/title>\n<meta name=\"description\" content=\"Artificial intelligence (AI) has begun to disrupt healthcare in ways people could only imagine not long ago. 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