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Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry

2024-06-05 Medical
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Release : 2024-06-05
Genre : Medical
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry by : Grover, Veena

Download or read book Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry written by Grover, Veena. This book was released on 2024-06-05. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare and pharmaceuticals are rapidly advancing with technological innovations, and the lack of understanding of AI algorithms poses a significant challenge in these fields. The need for more transparency in AI decision-making processes raises concerns about accountability, ethical implications, and regulatory compliance. As stakeholders in these critical sectors seek clarity and understanding, Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry provides a reliable resource to discover new solutions. This book serves as a comprehensive guide, unraveling the complexities of explainable artificial intelligence (XAI) and its pivotal role in transforming healthcare and pharmaceutical practices. Demystifying AI algorithms and revealing their decision-making mechanisms equips readers with the foundational knowledge needed to confidently navigate AI integration in these domains. From healthcare professionals to policymakers, its insights cater to a diverse audience, fostering cross-disciplinary collaboration and facilitating informed decision-making.

Explainable AI in Healthcare and Medicine

2020-11-02 Technology & Engineering
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Release : 2020-11-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 522/5 ( reviews)

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Book Synopsis Explainable AI in Healthcare and Medicine by : Arash Shaban-Nejad

Download or read book Explainable AI in Healthcare and Medicine written by Arash Shaban-Nejad. This book was released on 2020-11-02. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

2022-05-20 Computers
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Release : 2022-05-20
Genre : Computers
Kind : eBook
Book Rating : 929/5 ( reviews)

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Book Synopsis Principles and Methods of Explainable Artificial Intelligence in Healthcare by : Albuquerque, Victor Hugo C. de

Download or read book Principles and Methods of Explainable Artificial Intelligence in Healthcare written by Albuquerque, Victor Hugo C. de. This book was released on 2022-05-20. Available in PDF, EPUB and Kindle. Book excerpt: Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model’s adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.

Explainable AI in Healthcare

2023-07-17 Medical
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Release : 2023-07-17
Genre : Medical
Kind : eBook
Book Rating : 40X/5 ( reviews)

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Book Synopsis Explainable AI in Healthcare by : Mehul S Raval

Download or read book Explainable AI in Healthcare written by Mehul S Raval. This book was released on 2023-07-17. Available in PDF, EPUB and Kindle. Book excerpt: This book combines technology and the medical domain. It covers advances in computer vision (CV) and machine learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in computer science, electronics and communications, information technology, instrumentation and control, and electrical engineering. This book will benefit readers in the following ways: Explores state of art in computer vision and deep learning in tandem to develop autonomous or semi-autonomous algorithms for diagnosis in health care Investigates bridges between computer scientists and physicians being built with XAI Focuses on how data analysis provides the rationale to deal with the challenges of healthcare and making decision-making more transparent Initiates discussions on human-AI relationships in health care Unites learning for privacy preservation in health care

Principles and Methods of Explainable Artificial Intelligence in Healthcare

2022
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Release : 2022
Genre :
Kind : eBook
Book Rating : 919/5 ( reviews)

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Book Synopsis Principles and Methods of Explainable Artificial Intelligence in Healthcare by : Victor Hugo C. De Albuquerque

Download or read book Principles and Methods of Explainable Artificial Intelligence in Healthcare written by Victor Hugo C. De Albuquerque. This book was released on 2022. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the Explainable Artificial Intelligence (XAI) for healthcare, providing a broad overview of state-of-art approaches for accurate analysis and diagnosis, and encompassing computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, medical imaging data that assist in earlier prediction"--

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