Increase Use Of Artificial Intelligence And Its Impact
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Artificial Intelligence in Society
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Increase Use of Artificial Intelligence and Its Impact
Author: Dr. Vinod Khatri
language: en
Publisher: Pen and Paper Academy
Release Date: 2025-05-12
"Increase Use of Artificial Intelligence and Its Impact" explores the growing influence of AI across various sectors and its transformative effects on society, industry, and education. Authored by a team of distinguished educators—Dr. Vinod Khatri, Dr. Anita Malviya, Dr. Sanjay Prasad, and Prof. Arvind Sakwar—the book provides a detailed, research-based perspective on the practical applications, benefits, and challenges of AI adoption. Designed for students, teachers, policymakers, and tech enthusiasts, this insightful work delves into ethical considerations, real-world case studies, and the role of AI in shaping a smarter future. A must-read for those seeking to understand AI's evolving role in modern development.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data