![]() Issues with Voice Recognition in Healthcare 1. While there’s no denying that artificial intelligence has done great things for the industry, we’re looking critically at the very real threats that voice recognition poses for physicians and their practices. Voice recognition is a form of AI and much like the rest of artificial intelligence softwares, voice recognition is making a splash in the healthcare field. Voice or speaker recognition is the ability of a machine or program to receive and interpret dictation or to understand and carry out spoken commands. Though this new medical technology shows some huge potential for healthcare, tools like voice recognition are posing some big threats. This throws the supposed efficiency of AI into question. ![]() AI hasn’t been perfected, so doctors will still need to provide their expertise.A program is only as good as the data it learns, meaning big and newer health cases are at risk for inaccuracy.Because AI is fairly new, it’s more probable for it to be less accurate and reliable.With more information comes more personalized diagnoses. AI allows physicians to search public databases with info from thousands of doctors and patients.The precision and efficiency of AI makes human errors less likely.AI has been used for the advancement of treatments.Before diving into voice recognition and its relation to healthcare, let’s look at the benefits and risks of using AI. ![]() Though this technology is making a splash in all kinds of industries, it’s a big topic of discussion for the healthcare field–specifically in regards to voice recognition software. Over the past few years, AI has contributed to treatment design, drug creation, digital consultation, CT scans and other testing. AI stands for Artificial Intelligence, or the implementation of a machine to imitate intelligent human behavior. ![]()
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