摘要
由机器人与机器学习每日新闻的新闻记者兼新闻编辑-研究人员详细介绍了人工智能的新数据。根据News Rx记者来自新泽西州纳特利的新闻报道，研究表明：“-神经外科手术的编码是一个复杂的过程，每年都在动态地变化，通过编码和修饰符的导入和删除。作者希望阐明公开可用的人工智能(AI)是否可以为神经外科医生提供编码方面的解决方案。”我们的新闻记者从神经外科的研究中获得了一句话，“多个公开可用的人工智能平台被要求为大脑和脊柱的常见神经外科手术提供当前的程序术语(CPT)代码和收入价值单位(RVU)值，并给出该手术的指定适应症。记录平台的反应，并与该手术目前使用的有效CPT代码以及获得的RVU数量进行比较。六个平台和谷歌被纳入了被问及10种血管内、脊柱和颅骨手术的适当CPT代码。表现最好的平台如下：困惑。AI识别70%的Endova Scular，BingAI识别55%的脊柱，ChatGPT 4.0识别75%的颅CPT代码。在RVU方面，表现最好的平台获得78%的血管内、42%的脊柱和70%的颅可能RVU。人工智能的平均表现优于谷歌（45%对25%，P[0.04236）。公开可用的人工智能成功地为神经外科手术编码的能力在未来有很大的希望。人工智能的未来发展应该专注于提高CPT编码的准确性，并为其决策提供支持文件。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Artific ial Intelligence. According to news originating from Nutley, New Jersey, by News Rx correspondents, research stated, “- Coding for neurosurgical procedures is a complex process that is dynamically changing year to year, through the annual in troduction and removal of codes and modifiers. The authors hoped to elucidate if publicly available artificial intelligence (AI) could offer solutions for neuro surgeons with regard to coding.” Our news journalists obtained a quote from the research from the Department of N eurosurgery, “Multiple publicly available AI platforms were asked to provide Cur rent Procedural Terminology (CPT) codes and Revenue Value Units (RVU) values for common neurosurgical procedures of the brain and spine with a given indication for the procedure. The responses of platforms were recorded and compared to the currently valid CPT codes used for the procedure and the amount of RVUs that wou ld be gained. Six platforms and Google were asked for the appropriate CPT codes for 10 endovascular, spinal, and cranial procedures each. The highest performing platforms were as follows: Perplexity.AI identified 70% of endova scular, BingAI identified 55% of spinal, and ChatGPT 4.0 with Bing identified 75% of cranial CPT codes. With regard to RVUs, the top performer gained 78% of endovascular, 42% of spinal , and 70% of cranial possible RVUs. With regard to accuracy, AI pl atforms on average outperformed Google (45% vs. 25%, P [ 0.04236). The ability of publicly available AIs to succes sfully code for neurosurgical procedures holds great promise in the future. Futu re development of AI should focus on improving accuracy with regard to CPT codes and providing supporting documentation for its decisions.”
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