Explainable LLMs in Healthcare Apps by Azadeh Zamanifar (.ePUB)+
File Size: 24.2 MB
Explainable Large Language Models in Healthcare Applications by Azadeh Zamanifar, Amir Taherkordi, Amirfarhad Farhadi
Requirements: .ePUB, .PDF reader, 24.2 MB | True PDF, True EPUB
Overview: This is a comprehensive book that explores how Explainable Artificial Intelligence (XAI), particularly Large Language Models (LLMs), is transforming healthcare. The book covers foundational concepts of XAI, emphasizing the need for transparency, accountability, and interpretability in AI-driven medical systems, that are crucial for clinician and patient trust. It examines the principles and methodologies in Explainable AI. It details how LLMs can make complex Machine Learning outputs understandable through explanations, model design, and human-centered description. The rapid evolution of Artificial Intelligence has led to big changes to healthcare, particularly through the progress of large language models (LLMs). However, the “black-box” nature of these models has significant challenges in clinical settings, where transparency and trust are important. Explainable AI (XAI) has emerged as an important field. It aims to make AI-driven decisions interpretable, trustworthy, and actionable for healthcare professionals and patients. The integration of XAI with LLMs has the potential to cover the gap between powerful computational models and the practical needs of clinicians. It enables more accurate diagnoses and treatment recommendations with clear, understandable reasoning.
Genre: Non-Fiction > Tech & Devices
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