{"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

How AI Played a Role in Saving a Patient’s Life<\/span><\/h2>\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

Diagnosis: Success<\/span><\/h2>\n

The incident at the Galilee Medical Center leaves us with specific lessons.<\/p>\n