{"id":101187,"date":"2023-09-18T10:08:41","date_gmt":"2023-09-18T10:08:41","guid":{"rendered":"https:\/\/www.techopedia.com"},"modified":"2023-09-18T10:08:41","modified_gmt":"2023-09-18T10:08:41","slug":"artificial-intelligence-in-healthcare-saving-lives-today","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/artificial-intelligence-in-healthcare-saving-lives-today","title":{"rendered":"Artificial Intelligence in Healthcare: Saving Lives Today"},"content":{"rendered":"
In medical emergencies, time is the most critical consideration. The earlier the patient receives appropriate treatment, the greater the chances of recovery.<\/p>\n
Can artificial intelligence<\/a> (AI) literally save lives with its rapid ability to critique data and provide predictive analysis<\/a>? Well, it’s already happened at least once.<\/p>\n A 50-year-old resident of Nahariya, Israel, arrived at the Galilee Medical Center for a Computed Tomography (CT) scan, complaining of a headache with a CT scan taken, and the patient was sent home to rest.<\/p>\n The results would typically take one to two weeks, standard for the procedure – but possibly deadly when an undetected emergency happens.<\/p>\n This time, however, an AI program<\/a> scanned the data and alerted the doctors to the outside chance that the patient could be suffering from intracranial bleeding – needing immediate attention.<\/p>\n The AI program is known as Viz.ai<\/a>, which, along with CT scans, can also analyze echocardiography and other scans.<\/p>\n The doctors immediately sent for the patient and operated \u2014 the AI had correctly spotted just how serious the situation was.<\/p>\n The patient’s life was saved, credited to the quick artificial diagnosis, which shaved two weeks between the scan and treatment.<\/p>\n Dr. Don Paz of the Galilee Medical Center said, “Without it, the patient would probably have come to us too late<\/a>.”<\/p>\n It is not an isolated case, although this next one is a “Dr ChatGPT” example.<\/p>\n A mother struggled for three years to find a solution for her son’s persistent symptoms. After consulting with 17 doctors without success over this period, she eventually sought answers from ChatGPT. Ultimately, it was ChatGPT that provided the much-needed diagnosis \u2014 tethered cord syndrome \u2014 for her 4-year-old’s chronic pain<\/a>.<\/p>\n The incident at the Galilee Medical Center leaves us with specific lessons.<\/p>\n Karim Karti, the CEO of RapidAI<\/a>, which applies AI to quickly diagnose cases of strokes, aneurysms, pulmonary embolisms, and other medical issues, described the role of AI in saving lives in medical emergencies in an interview with Healthcare IT News<\/a>. The main excerpts from the interview are given.<\/p>\n Despite AI’s proven advantages, adoption in the healthcare industry<\/a> has been lagging because of certain factors.<\/p>\n According to\u00a0Sachin Patel<\/a>, the CEO of Apixio<\/a>, which delivers AI-powered insights on healthcare, “The most prominent barrier holding back AI adoption in highly regulated industries like healthcare is the highest level of accuracy necessary to achieve adoption.”<\/p>\n With a streaming service, for example, “if their algorithms are inaccurate, the worst-case scenario is that a customer dislikes the recommended movie or show. Though this may be inconvenient or even annoying, it is not life-threatening.<\/p>\n “However, if AI in healthcare<\/a> isn’t accurate enough, it may result in an ineffective treatment plan that puts the patient’s health at risk.”<\/p>\n There are also trust issues: the idea of software providing insights and images on a patient’s body, especially in an emergency, is still hard to accept. The patient’s life is at stake, and AI is still not trusted enough, at least not universally.<\/p>\n According to David Friede<\/a>, vice president of strategic partnerships for DrOwl<\/a>, “It can also be difficult to trust a machine to make a prediction \u2014 this is frequently an issue in the healthcare industry. Doctors are accustomed to relying on human interactions and specifics to determine the best possible course of action, which involves evaluating a patient’s mental state, expectations, medical history, and more.”<\/p>\n History is witness to the fact that change always meets resistance and doubts but eventually finds its way through.<\/p>\nHow AI Played a Role in Saving a Patient’s Life<\/span><\/h2>\n
Diagnosis: Success<\/span><\/h2>\n
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What is stopping the Wider Adoption of AI?<\/span><\/h2>\n
The Bottom Line<\/span><\/h2>\n