Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2025
Subthalamic nucleus or globus pallidus internus deep brain stimulation for the treatment of parkinson's disease: An artificial intelligence approach.
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Shin David, Tang Timothy, Carson Joel, Isaac Rekha, Dinh Chandler, Im Daniel, Fay Andrew, Isaac Asael, Cho Stephen, Brandt Zachary, Nguyen Kai, Shaffrey Isabel, Yacoubian Vahe, Taka Taha M, Spellicy Samantha, Lopez-Gonzalez Miguel Angel, Danisa Olumide
Аннотация
BACKGROUND: Generative artificial intelligence (AI) in deep brain stimulation (DBS) is currently unvalidated in its content. This study sought to analyze AI responses to questions and recommendations from the 2018 Congress of Neurological Surgeons (CNS) guidelines on subthalamic nucleus and globus pallidus internus DBS for the treatment of patients with Parkinson's Disease.
METHODS: Seven questions were generated from CNS guidelines and asked to ChatGPT 4o, Perplexity, Copilot, and Gemini. Answers were "concordant" if they highlighted all points provided by the CNS guidelines; otherwise, answers were considered "non-concordant" and sub-categorized as either "insufficient" or "overconclusive." AI responses were evaluated for readability via the Flesch-Kincaid Grade Level, Gunning Fog Index, Simple Measure of Gobbledygook (SMOG) Index, and Flesch Reading Ease tests.
RESULTS: ChatGPT 4o showcased 42.9% concordance, with non-concordant responses classified as 14.3% insufficient and 42.8% over-conclusive. Perplexity displayed a 28.6% concordance rate, with 14.3% insufficient and 57.1% over-conclusive responses. Copilot showed 28.6% concordance, with 28.6% insufficient and 42.8% over-conclusive responses. Gemini demonstrated 28.6% concordance, with 28.6% insufficient and 42.8% over-conclusive responses. The Flesch-Kincaid Grade Level scores ranged from 14.44 (Gemini) to 18.94 (Copilot), Gunning Fog Index scores varied between 17.9 (Gemini) and 22.06 (Copilot), SMOG Index scores ranged from 16.54 (Gemini) to 19.67 (Copilot), and all Flesch Reading Ease scores were low, with Gemini showing the highest score of 30.91.
CONCLUSION: ChatGPT 4o displayed the most concordance, Perplexity displayed the highest over-conclusive rate, and Copilot and Gemini showcased the most insufficient answers. All responses showcased complex readability. Despite the possible benefits of future developments and innovation in AI capabilities, AI requires further improvement before independent clinical usage in DBS.
METHODS: Seven questions were generated from CNS guidelines and asked to ChatGPT 4o, Perplexity, Copilot, and Gemini. Answers were "concordant" if they highlighted all points provided by the CNS guidelines; otherwise, answers were considered "non-concordant" and sub-categorized as either "insufficient" or "overconclusive." AI responses were evaluated for readability via the Flesch-Kincaid Grade Level, Gunning Fog Index, Simple Measure of Gobbledygook (SMOG) Index, and Flesch Reading Ease tests.
RESULTS: ChatGPT 4o showcased 42.9% concordance, with non-concordant responses classified as 14.3% insufficient and 42.8% over-conclusive. Perplexity displayed a 28.6% concordance rate, with 14.3% insufficient and 57.1% over-conclusive responses. Copilot showed 28.6% concordance, with 28.6% insufficient and 42.8% over-conclusive responses. Gemini demonstrated 28.6% concordance, with 28.6% insufficient and 42.8% over-conclusive responses. The Flesch-Kincaid Grade Level scores ranged from 14.44 (Gemini) to 18.94 (Copilot), Gunning Fog Index scores varied between 17.9 (Gemini) and 22.06 (Copilot), SMOG Index scores ranged from 16.54 (Gemini) to 19.67 (Copilot), and all Flesch Reading Ease scores were low, with Gemini showing the highest score of 30.91.
CONCLUSION: ChatGPT 4o displayed the most concordance, Perplexity displayed the highest over-conclusive rate, and Copilot and Gemini showcased the most insufficient answers. All responses showcased complex readability. Despite the possible benefits of future developments and innovation in AI capabilities, AI requires further improvement before independent clinical usage in DBS.