Explainable AI in Health Informatics
Buch in deiner Nähe kaufen
Beschreibung
This book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics. It focuses on how explainable AI models can work together with humans to assist them in decision-making, leading to improved diagnosis and prognosis in healthcare. This book includes a collection of techniques and systems of XAI in health informatics and gives a wider perspective about the impact created by them. The book covers the different aspects, such as robotics, informatics, drugs, patients, etc., related to XAI in healthcare.
The book is suitable for both beginners and advanced AI practitioners, including students, academicians, researchers, and industry professionals. It serves as an excellent reference for undergraduate and graduate-level courses on AI for medicine/healthcare or XAI for medicine/healthcare. Medical institutions can also utilize this book as reference material and provide tutorials to medical professionals on how the XAI techniques can contribute to trustworthy diagnosis and prediction of the diseases.
This book provides a comprehensive review of the latest research in the area of explainable artificial intelligence (XAI) in health informatics. It focuses on how explainable AI models can work together with humans to assist them in decision-making, leading to improved diagnosis and prognosis in healthcare. This book includes a collection of techniques and systems of XAI in health informatics and gives a wider perspective about the impact created by them. The book covers the different aspects, such as robotics, informatics, drugs, patients, etc., related to XAI in healthcare.
The book is suitable for both beginners and advanced AI practitioners, including students, academicians, researchers, and industry professionals. It serves as an excellent reference for undergraduate and graduate-level courses on AI for medicine/healthcare or XAI for medicine/healthcare. Medical institutions can also utilize this book as reference material and provide tutorials to medical professionals on how the XAI techniques can contribute to trustworthy diagnosis and prediction of the diseases.
Offers a comprehensive perspective on impact of explainable AI in the healthcare sector Presents the latest research in the area of explainable artificial intelligence (XAI) in health informatics Showcases diversified applications of explainable AI in health informatics
Autor*in
Rajanikanth Aluvalu
Themen in »Explainable AI in Health Informatics«
Explainable AI tools Explainable AI Methods Explainable AI Frameworks Explainable AI Applications in Healthcare Explainable AI Foundations of XAI Explainable AI in Healthcare Disease Diagnosis using Explainable AI Explainable AI for Drug Discovery Explainable AI Case Studies Similarity Based Explainable AI