首页|Data on Artificial Intelligence Reported by Researchers at Department of Neurosu rgery (Can Publicly Available Artificial Intelligence Successfully Identify Curr ent Procedural Terminology Codes for Common Procedures In Neurosurgery?)
Data on Artificial Intelligence Reported by Researchers at Department of Neurosu rgery (Can Publicly Available Artificial Intelligence Successfully Identify Curr ent Procedural Terminology Codes for Common Procedures In Neurosurgery?)
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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.”
NutleyNew JerseyUnited StatesNorth and Central AmericaAngiologyArtificial IntelligenceEmerging TechnologiesHealth and MedicineMachine LearningNeurosurgerySurgeryDepartment of Neu rosurgery
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