多样性(控制论)
叙述的
人工智能
医疗保健
认知
计算机科学
医学
心理学
精神科
哲学
语言学
经济
经济增长
作者
Aamir Amin,Swizel Ann Cardoso,Jenisha Suyambu,Hafiz Abdus Saboor,Rayner Peyser Cardoso,Ali Husnain,Natasha Varghese Isaac,Haydee Backing,Dalia Mehmood,Maria Mehmood,Abdalkareem Nael Jameel Maslamani
出处
期刊:Cureus
[Cureus, Inc.]
日期:2024-01-04
被引量:8
摘要
Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that are typically considered to be functions of the human brain. It is the study of algorithms that enable machines to reason and perform mental tasks, including problem-solving, object and word recognition, and decision-making. Once considered science fiction, AI today is a fact and an increasingly prevalent subject in both academic and popular literature. It is expected to reshape medicine, benefiting both healthcare professionals and patients. Machine learning (ML) is a subset of AI that allows machines to learn and make predictions by recognizing patterns, thus empowering the medical team to deliver better care to patients through accurate diagnosis and treatment. ML is expanding its footprint in a variety of surgical specialties, including general surgery, ophthalmology, cardiothoracic surgery, and vascular surgery, to name a few. In recent years, we have seen AI make its way into the operating theatres. Though it has not yet been able to replace the surgeon, it has the potential to become a highly valuable surgical tool. Rest assured that the day is not far off when AI shall play a significant intraoperative role, a projection that is currently marred by safety concerns. This review aims to explore the present application of AI in various surgical disciplines and how it benefits both patients and physicians, as well as the current obstacles and limitations facing its seemingly unstoppable rise.
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