£64.99
£64.99
This book offers a roadmap for using prompt engineering and human-AI interaction in healthcare. Learn how to optimize AI to extract insights from patient data, enhancing diagnostic precision and treatment, while ensuring transparent, ethical, and patient-centered care.
This book offers readers a comprehensive exploration of prompt engineering and human-AI interaction as fundamental components of intelligent healthcare systems. It delves into how carefully designed prompts can optimize AI models to extract essential insights from patient data, aiding in diagnosis, treatment planning, and monitoring. By structuring AI interactions effectively, clinicians can harness AI-driven tools to enhance decision-making while ensuring transparency, interpretability, and trust in healthcare applications.
The book also emphasizes the critical role of human-AI collaboration, particularly in high-stakes medical environments. Seamless AI integration into clinical workflows requires intuitive interfaces that enable physicians to understand AI-generated recommendations, evaluate their reasoning, and make informed decisions. By leveraging prompt engineering and well-designed human-AI interactions, healthcare professionals can efficiently extract insights from vast amounts of patient data, enhancing diagnostic precision, treatment strategies, and overall patient outcomes.
A key focus of this book is the responsible design and implementation of AI in healthcare, considering crucial challenges such as data privacy, algorithmic biases, and ethical concerns. It presents frameworks, methodologies, and real-world applications that demonstrate how prompt engineering and AI-driven interfaces can revolutionize intelligent healthcare. By addressing these challenges, the book provides a roadmap for developing efficient, accurate, and patient-centered AI solutions, ultimately transforming healthcare delivery.
This book explores the latest research in education design for virtual and augmented reality. Using numerous studies and examples, it will help the reader gain a better understanding of the nature of these realities and their applications in theory and practice.
This book offers an integral view of human speech behavior, uniting biology, linguistics, math, and AI. It explores neural networks and microelectronics for speech recognition, text-to-speech synthesis, and dialogue systems. For a broad professional audience.
This book explores how artificial intelligence (AI) interprets behavioral patterns and their influence on personality. It discusses AI’s uses, from controlling diseases to modern personality analysis, and its challenges. Perfect for data scientists, academics, and students.
Using real-world cases, this book illustrates how to handle volatile financial time series data. Learn to apply statistical, machine learning, and deep learning techniques with R and Python to build robust predictive models and construct profitable investment portfolios.
This book explores artificial intelligence through the unique lens of art, showing how we can engage with AI without being subjugated by it. Each chapter begins with a work of art to guide the reader through philosophical keywords like “author,” “memory,” and “human.”
This book proposes a neural network for structural information analysis. Inspired by the human brain, this approach reconstructs a model of the world to interpret behaviour and enables automatic semantic analysis of text, constructing a semantic portrait from any stream.
This book uses real-world cases to show how to analyse volatile financial time series with statistical analysis, machine learning, and deep learning. Learn to build predictive models to forecast stock prices and construct profitable portfolios using Python and R.
With demand for mobility growing and infrastructure limited, Intelligent Transportation Systems (ITS) are essential. This book presents the ingredients of good ITS not from a technology perspective, but from a business, management, and policy view, with real-life case studies.
A surge of interest in post-editing, the oldest form of human-machine cooperation for translation, is fundamentally changing the industry. This volume compiles work by researchers, developers, and practitioners on this essential, evolving practice.
This book looks beyond buzzwords for the ground truth in how technology can enhance education. It makes a strong case for how innovations like immersive virtual reality, accessible Hollywood technology, and the metaverse can create a new frontier for future-focused learning.
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