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Generative AI for the Medical Student
◆Springer Nature 新刊セール 2025開催中！：2025年12月21日(日)ご注文分まで
※上記表示の販売価格は割引適用後の価格です 出版済み 3週間でお届けいたします。 Title: Generative AI for the Medical Student Subtitle: Core Concepts to Clinical Practice Author: Quinn, Campion Publisher: Springer ISBN: 9783032016126 Cover: PAPERBACK Date: 2025年09月 DESCRIPTION This book provides medical students with a practical, non‐technical roadmap for understanding, applying, and leading generative AI in clinical practice. Despite explosive interest in AI, there is no accessible, clinically focused primer tailored to medical students without programming backgrounds. Educators and students need a resource that translates theory into actionable skills, crafting effective prompts, interpreting AI outputs, embedding tools into workflows, and upholding ethical and legal standards. By filling this gap, the book equips future physicians to use AI confidently and safely at the bedside and in documentation, lead pilot projects and quality-improvement initiatives, navigate certification, research, and career development in digital health. In short, it transforms generative AI from a black-box novelty into a dependable clinical partner, fulfilling a critical educational need at the intersection of medicine and technology. The text begins by demystifying core AI concepts, transformers, self‐attention, NLP, CNNs, and Retrieval‐Augmented Generation. It then moves through hands‐on chapters on securing stakeholder buy-in, prompt engineering, error management, and quality-improvement cycles. A capstone “AI Journal Club” and simulation exercises reinforce learning in real-world vignettes, while later chapters guide students through ethics, research, collaboration, career pathways, and a SMART-goal-driven lifelong learning plan. This is an ideal guide for all medical students interested in integrating generative AI into their career. TABLE OF CONTENTS What Is Artificial Intelligence? Data and Algorithms The AI Toolkit Image Recognition and Computer Vision Applications Primary Care and Chronic Disease Management AI Utilization in Neurology AI and Medical Communications Workflow Automation Ethics and Bias in Clinical AI Regulation and Transparency of Clinical AI Integrating Generative AI into Clinical Practice Building Your Team, Planning Your Project and Your Mini AI Journal Club Capstone Execution, Analysis, and Iteration Reporting, Scale-Up, and Sustainability Next Steps-Professional Growth and Lifelong AI Integration 最近チェックした商品
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