Artificial Intelligence in Neurosurgery: Translatable Technologies and Current Advances
暫譯: 神經外科中的人工智慧:可轉譯技術與當前進展

Veeravagu, Anand, Schonfeld, Ethan

  • 出版商: CRC
  • 出版日期: 2026-10-05
  • 售價: $3,600
  • 貴賓價: 9.5$3,420
  • 語言: 英文
  • 頁數: 222
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032748370
  • ISBN-13: 9781032748375
  • 相關分類: Machine Learning
  • 尚未上市,無法訂購

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商品描述

The field of neurosurgery stands at the precipice of a transformative era, driven by the rapid evolution of artificial intelligence (AI). From optimizing patient selection and surgical parameters to enhancing intraoperative precision, AI has already begun to reshape the landscape of neurosurgical care. Yet, as these technologies advance from preclinical studies to real-world applications, the challenges of responsible integration, evaluation, and safety have become increasingly urgent.

This groundbreaking textbook equips neurosurgeons with the foundational knowledge to navigate the complexities of AI in clinical practice. It explores the remarkable progress of AI systems, from machine learning-enhanced neuronavigation to agentic systems capable of autonomous, multi-step workflows. With a focus on real-world clinical data, fairness, and interpretability, the book addresses the critical hurdles of evaluation lag, dataset curation, and regulatory oversight.

As AI transitions from passive tools to active participants in medical problem-solving, this text provides a roadmap for neurosurgeons to lead the charge in developing, implementing, and critically assessing these transformative technologies. By bridging the gap between innovation and practice, this book ensures that the next generation of neurosurgeons is prepared to harness the full potential of AI while safeguarding patient care.

商品描述(中文翻譯)

神經外科領域正處於一個變革時代的邊緣,這一切都受到人工智慧(AI)快速演變的驅動。從優化病人選擇和手術參數到提升術中精確度,AI已經開始重塑神經外科護理的格局。然而,隨著這些技術從臨床前研究進入實際應用,負責任的整合、評估和安全性挑戰變得越來越迫切。

這本開創性的教科書為神經外科醫生提供了基礎知識,以應對臨床實踐中AI的複雜性。它探討了AI系統的顯著進展,從機器學習增強的神經導航到能夠自主執行多步驟工作流程的智能系統。該書專注於實際臨床數據、公平性和可解釋性,並針對評估滯後、數據集策劃和監管監督等關鍵障礙進行討論。

隨著AI從被動工具轉變為醫療問題解決中的主動參與者,這本書為神經外科醫生提供了一條路線圖,以引領開發、實施和批判性評估這些變革性技術的工作。通過彌合創新與實踐之間的鴻溝,這本書確保下一代神經外科醫生能夠充分利用AI的潛力,同時保障病人的護理。

作者簡介

Anand Veeravagu is Associate Professor of Neurosurgery Department of Neurosurgery, Stanford University School of Medicine. Dr. Veeravagu is an expert in the field of minimally invasive spine surgery and serves on national committees. He is the Director of Minimally Invasive Spine Surgery at Stanford University and Director of the Stanford Neurosurgical Artificial Intelligence and Machine Learning Laboratory. He currently serves as the team neurosurgeon for the San Francisco 49ers. He is a leader in the field, having edited and authored a textbook on Robotic and Navigated Spine Surgery.

Ethan Schonfeld is a medical student at Stanford University School of Medicine. He is a member of the Stanford Neurosurgical Artificial Intelligence and Machine Learning Laboratory. He has earned a master's degree at Stanford Medicine in Biomedical Informatics where his research focused on the generation of synthetic imaging in neurosurgery. He has authored numerous journal articles and multiple textbook chapters on artificial intelligence in neurosurgery.

作者簡介(中文翻譯)

Anand Veeravagu 是史丹佛大學醫學院神經外科的副教授。Veeravagu 博士是微創脊椎手術領域的專家,並在全國委員會中任職。他是史丹佛大學微創脊椎手術的主任,以及史丹佛神經外科人工智慧與機器學習實驗室的主任。他目前擔任舊金山49人隊的團隊神經外科醫生。他在該領域中是領導者,曾編輯並撰寫有關 機器人與導航脊椎手術 的教科書。

Ethan Schonfeld 是史丹佛大學醫學院的醫學生。他是史丹佛神經外科人工智慧與機器學習實驗室的成員。他在史丹佛醫學院獲得生物醫學資訊學的碩士學位,研究重點是神經外科中的合成影像生成。他已發表多篇期刊文章和多個有關神經外科人工智慧的教科書章節。

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