Deep Medicine

Name: Deep Medicine
ISBN: 9787572501029

埃里克·托普 / 郑杰Dec 2021

4.4

Word count: 190K words
Chapters: 77
ISBN: 9787572501029

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Summary

Medical resources are scarce, doctors' consultation times are growing ever shorter, and physicians can no longer truly communicate with their patients... Artificial intelligence will enhance doctors' professional capabilities and completely transform these dire circumstances. In this book, Eric Topol reveals the various application prospects of AI in medicine, providing a panoramic view of how AI can bring about healthcare transformation. The book consists of 13 parts, covering the deep medicine model, an overview of shallow medicine, the impact of AI on medical diagnosis, successful precedents of AI, the limitations of deep learning, the impact of AI on three types of "patterned" doctors, the impact of AI on "unpatterned" doctors, AI applications in mental health, the impact of AI on the healthcare system, how AI will transform biomedicine, the prospects of AI in personalized diet planning, the current state of virtual medical assistants, and how deep empathy can bring medicine back to its humanistic roots.

Editor's review

This book discusses AI's role in medicine within the framework of the doctor-patient relationship rather than as a mere list of technologies. Structured around the contrast between "deep medicine" and "shallow medicine," the author covers application prospects in diagnosis, imaging, and biomedicine while also confronting the limitations of deep learning, doctors' anxiety about being replaced, and the current state of virtual medical assistants. The 13-part structure is clear and makes this a suitable primer for a panoramic understanding of medical AI. Its strength lies in positioning "empathy" as the endpoint of technological application, reminding readers that efficiency gains must not come at the expense of doctor-patient communication. It suits commuting or concentrated weekend reading; slow down on technical chapters and reflect on your own healthcare experiences.

Who it's for

A good fit for

General readers interested in the intersection of healthcare and artificial intelligence
Healthcare professionals seeking to understand AI application prospects
Readers concerned about doctor-patient communication and humanistic medicine
Students or entrepreneurs who need to quickly build a panoramic understanding of medical AI

Not a good fit for

Technical developers expecting specific algorithm implementation details
Doctors seeking clinical practice guidelines
Readers with a deep need for healthcare policy and institutional analysis

Reading tips

Start with the sections on the deep medicine model and the overview of shallow medicine to establish the book's framework.
When reading the chapters on AI diagnosis and its limitations, use sticky notes to record your questions and review them together afterward.
Reflect on the role of empathy in diagnosis and treatment through a real healthcare experience, then read the section on virtual medical assistants.
After each part, summarize the author's core judgments in two or three sentences to check your understanding.

版权信息
作者简介
全美最具影响力的医疗预言家
致谢
测一测你了解深度医疗吗？
推荐序一探索未知与掌控已知
推荐序二人工智能让医疗科技服务于个体
01 深度医疗模型：深度表型分析、深度学习、深度共情三足鼎立
机器永远无法完全解读人类
深度学习有潜力“驯服”数据爆炸
人工智能在医疗领域的应用前景和现状
深度医疗的三大组成部分
深度医疗是医疗的未来
02 浅度医疗：令患者绝望、医生疲惫的非智能医疗
误诊导致错误的治疗
浅度证据导致浅度医疗
电子健康档案在应用中缺陷明显
浅度医疗导致医疗资源浪费和对患者的伤害
浅度医疗导致无效的医疗支出
03 医疗诊断：人工智能工具与医生结合提高诊断和预测的精确性
现代医疗诊断方法的缺陷
计算机在医疗诊断上的应用
狭义的人工智能诊断工具
04 从深度学习到深度医疗：人工智能的成功先例对医疗健康领域的启发
人工智能可以监测人类无法监测的东西
简述人工智能的发展
深度神经网络的应用实例
05 突破局限：深度学习亟须解决的八大问题
问题一：神经网络的功能局限性
问题二：“黑匣子”属性带来的不可靠性
问题三：人工智能再现的人类偏见和不公平
问题四：人工智能可能导致的虚假性
问题五：人工智能中的隐私安全隐患
问题六：人工智能对伦理和公共政策的挑战
问题七：人工智能对工作岗位的巨大影响
问题八：人工智能带来世界末日的恐惧
06 “有模式”的医生：最有可能被人工智能取代的三类医生
放射科医生
病理科医生
皮肤科医生
07 “无模式”的医生：人工智能如何打通所有医学学科
人工智能对所有临床医学的可能影响
人工智能在专科领域的应用
08 心理健康：人工智能发挥重要作用的新领域
数字化带来新突破
生物标志物的优势与不足
人工智能在预防和预测自杀方面的应用
人工智能在精神健康领域的前景和隐患
人工智能如何增加幸福感
09 医疗系统：人工智能如何通过影响医疗系统造福人类
预测，预测，再预测
优化医疗工作环境及流程
淘汰医院和病房
保险公司和雇主对人工智能的使用
国家层面的医疗人工智能
10 深度发现：人工智能如何改变生物医学
生物组学与癌症
药物发现与开发
神经科学
科学家的新工具和学徒
11 深度饮食：定制真正个性化的饮食方案
营养学研究中存在的问题
人工智能有助于实现个性化饮食
12 虚拟医疗助手：承担医疗指导的责任，造福消费者
虚拟医疗助手的发展现状
构建未来的虚拟医疗助手
13 深度共情：人工智能如何让医疗回归以人为本
为医生和患者赢取宝贵的时间
培养医生的共情能力，让就医更加人性化
培养医生的存在感，建立深厚的医患关系
身体检查的仪式感可以巩固医患关系
以治愈为中心的医患关系
重塑医学生的思想，发展以人为本的医学教育
由机器支持的更为人性化的深度医疗
致谢
注释
译者后记站在人类的高度思考人工智能

FAQ

Is this book suitable for people without a medical background?

Yes. The book is primarily a panoramic narrative focused on the relationship between AI and the healthcare system, and does not require a medical background. General readers can skip individual technical terms and still gain an overall understanding by following the author's discussion of doctor-patient communication and empathy.

Does the book only discuss the benefits of artificial intelligence?

No. The material shows that the book specifically discusses the limitations of deep learning and also addresses AI's impact on doctors' roles. While presenting application prospects, the author treats empathy and humanistic medicine as important issues, giving readers cautious reflection beyond technological optimism.

What practical help can readers gain from this book?

It helps readers understand the potential roles of AI in diagnosis, mental health, biomedicine, and virtual medical assistants, and encourages more conscious reflection on the value of communication and empathy in healthcare. It works well as an introductory reference on medical AI.

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About the author

埃里克·托普 Author

Eric Topol is an author in the field of medicine whose work is available in the Chinese book market in two titles, Deep Medicine and The Future of Medicine. Because public information is limited, details such as his nationality, dates of birth and death, educational background, and professional positions remain unclear, and this introduction relies only on the verifiable publication information available in our catalog. In terms of subject matter, his writing focuses on frontier issues in medicine and health, discussing models of care, technological applications, and the future direction of the field, with a strong flavor of popular science and critical reflection. Both titles fall under the medicine category, indicating a continuity in his writing focus and addressing general readers and practitioners concerned about changes in healthcare. Overall, his style emphasizes sorting out issues and judging trends, offering Chinese readers a perspective for understanding contemporary medical development.

郑杰 Author

Zheng Jie is a Chinese author whose works span a notably wide range of subjects. Public information about him is limited, and biographical details are not available in the current records. Judging from his existing works, his writing covers medicine, education, computing, and classical poetry. In medicine, titles such as Deep Medicine, Future Medicine, and Artificial Intelligence in Clinical Surgery focus on medical practice amid technological change. In education, works including Eleven Lectures on Concise Instructional Design, Eleven Lectures on Concise Cooperative Learning Design, and Learning for Cooperation discuss classroom design and the practical implementation of cooperative learning. He has also written on teacher development, as in Chief Teacher, and on computing, such as SEO Search Engine Optimization: Principles, Methods, and Practice. His writing is practical and problem-oriented, concise in style, and concerned with turning professional methods into workable solutions for practitioners and learners in the relevant fields.