Generative Artificial Intelligence for Biomedical and Smart Health Informatics
暫譯: 生物醫學與智慧健康資訊的生成式人工智慧
Khamparia, Aditya
相關主題
商品描述
Enables readers to understand the future of medical applications with generative AI and related applications
Generative Artificial Intelligence for Biomedical and Smart Health Informatics delivers a comprehensive overview of the most recent generative AI-driven medical applications based on deep learning and machine learning in which biomedical data is gathered, processed, and analyzed using data augmentation techniques. This book covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data.
This book explores findings obtained by explainable AI techniques, with coverage of various techniques rarely reported in literature. Throughout the book, feedback and user experiences from physicians and medical staff, as well as use cases, are included to provide important context.
This book discusses topics including privacy and security challenges in AI-enabled health informatics, biosensor-guided AI interventions in personalized medicine, regulatory frameworks and guidelines for AI-based medical devices, education and training for building responsible AI solutions in healthcare, and challenges and opportunities in integrating generative AI with wearable devices.
Topics covered include:
- Treatment of neurological disorders using intelligent techniques and image-guided and tomography interventions for neuromuscular disorders
- Bio-inspired smart healthcare service frameworks with AI, machine learning, and deep learning, integration of IoT devices, and edge computing in industrial and clinical systems
- Traffic management and optimization in distributed environments, patient data management, disease surveillance and prediction, and telemedicine and remote monitoring
- Education-driven, peer-to-peer, and service-oriented architectures and transparency and accountability in medical decision-making
Generative Artificial Intelligence for Biomedical and Smart Health Informatics is an essential reference on the subject for computer science researchers, medical professionals, healthcare informatics, and medical imaging researchers interested in understanding the potential of artificial intelligence and other related technologies in healthcare.
商品描述(中文翻譯)
使讀者了解生成式人工智慧及相關應用在醫療應用的未來
生成式人工智慧在生物醫學與智慧健康資訊學 提供了基於深度學習和機器學習的最新生成式人工智慧驅動醫療應用的全面概述,其中生物醫學數據透過數據增強技術進行收集、處理和分析。本書涵蓋了生成模型在醫療影像數據中的多種應用,包括體積醫療影像分割、數據增強、MRI重建以及時空醫療數據建模。
本書探討了透過可解釋的人工智慧技術所獲得的研究結果,並涵蓋了文獻中鮮有報導的各種技術。在整本書中,包含了來自醫生和醫療人員的反饋與使用經驗,以及案例研究,以提供重要的背景資訊。
本書討論的主題包括:AI驅動的健康資訊學中的隱私和安全挑戰、在個人化醫療中由生物感測器引導的AI介入、針對AI基礎醫療設備的監管框架和指導方針、在醫療保健中建立負責任的AI解決方案的教育和訓練,以及將生成式AI與可穿戴設備整合的挑戰與機會。
涵蓋的主題包括:
- 使用智能技術和影像引導及斷層介入治療神經系統疾病
- 結合AI、機器學習和深度學習的生物啟發智慧健康服務框架,IoT設備的整合,以及工業和臨床系統中的邊緣計算
- 在分散環境中的交通管理與優化、病人數據管理、疾病監測與預測,以及遠程醫療和監控
- 以教育為驅動的點對點和服務導向架構,以及醫療決策中的透明度和問責制
生成式人工智慧在生物醫學與智慧健康資訊學 是計算機科學研究人員、醫療專業人員、健康資訊學和醫療影像研究人員了解人工智慧及其他相關技術在醫療保健中潛力的重要參考資料。
作者簡介
Aditya Khamparia, Assistant Professor, Department of Computer Science at Babasaheb Bhimrao Ambedkar University, India. His research areas include Artificial Intelligence, Intelligent Data Analysis, Machine Learning, Deep Learning, and Soft Computing.
Deepak Gupta, Assistant Professor, Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India. His research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.
作者簡介(中文翻譯)
阿迪提亞·坎帕里亞,印度巴巴薩赫布·比姆拉奧·安貝德卡大學計算機科學系助理教授。他的研究領域包括人工智慧、智能數據分析、機器學習、深度學習和軟計算。
迪帕克·古普塔,印度德里馬哈拉賈·阿格拉森技術學院計算機科學與工程系助理教授。他的研究興趣包括智能數據分析、自然啟發計算、機器學習和軟計算。