AI/ML for Healthcare: Navigating the AI/ML Maze Responsibly, Securely, and Sustainably
暫譯: 醫療保健中的AI/ML：負責任、安全且可持續地導航AI/ML迷宮
Monga, Kapila
- 出版商: CRC
- 出版日期: 2025-06-08
- 售價: $7,600
- 貴賓價: 9.5 折 $7,220
- 語言: 英文
- 頁數: 280
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032594322
- ISBN-13: 9781032594323
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相關主題
商品描述
This book aims to empower healthcare professionals by providing them with knowledge across various aspects of AI/ML, enabling them to realize positive, lasting business value from AI and ML initiatives. The book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space, and research.
商品描述(中文翻譯)
本書旨在通過提供有關人工智慧（AI）和機器學習（ML）各個方面的知識，來賦能醫療保健專業人員，使他們能夠從AI和ML的計劃中實現積極且持久的商業價值。本書基於我在醫療保健AI/ML領域工作的經驗、觀察這一領域領導者時所學到的教訓以及相關研究。
作者簡介
Kapila Monga is a practitioner-turned-leader in Data Science and Machine Learning for Healthcare, with over 17 years of experience designing and delivering comprehensive data and analytics solutions. Recognized among the Top 10 Most Influential Data & Analytics Leaders in the USA's Healthcare Sector for 2024 by AIM Research, Kapila has led large teams to implement AI/ML solutions that have delivered over 150x return on investment.
Most recently, Kapila served as the Head of Data Science and Automation for a leading 48-hospital health system in the United States, where she spearheaded initiatives that bridged strategic vision with technical excellence and delivered meaningful health outcomes. Passionate about bringing healthcare industry, academia and technology together, Kapila firmly believes that the key to unlock exponential AI/ML value in healthcare lies in fostering a culture of reciprocal altruism - where shared knowledge and collaboration drive collective progress.
作者簡介(中文翻譯)
Kapila Monga 是一位轉型為領導者的數據科學和機器學習專家，專注於醫療保健領域，擁有超過 17 年設計和提供全面數據及分析解決方案的經驗。她被 AIM Research 評選為 2024 年美國醫療保健領域十大最具影響力的數據與分析領導者之一，並帶領大型團隊實施 AI/ML 解決方案，實現超過 150 倍的投資回報。
最近，Kapila 擔任美國一家領先的 48 家醫院健康系統的數據科學與自動化部門負責人，主導了將戰略願景與技術卓越相結合的倡議，並實現了有意義的健康成果。Kapila 對於將醫療保健行業、學術界和技術結合在一起充滿熱情，堅信解鎖醫療保健中指數級 AI/ML 價值的關鍵在於培養互惠利他主義的文化——在這種文化中，共享知識和合作推動集體進步。
