人工智能赋能医疗的未来：引领前行之路

Transformation of Industries in the Age of AI The Future of AI-Enabled Health:Leading the Way W H I T EP A P E RJ A N U A R Y2 0 2 5 Contents Reading guide3 Foreword4 Executive summary5 2 Future outlook: Four visions for AI-enabled health13 3 Analysis: Three key challenges to scaling AI in health15 3.1 Complexity for policy-makers and leaders15 3.2 Misalignment of technical choices with strategic visions18 3.3 Low confidence in a fragmented governance andregulation framework20 4 Strategy: Six calls to action to drive value creation23 Contributors26 Endnotes28 Disclaimer This document is published by theWorld Economic Forum as a contributionto a project, insight area or interaction.The findings, interpretations andconclusions expressed herein are a resultof a collaborative process facilitated andendorsed by the World Economic Forumbut whose results do not necessarilyrepresent the views of the World EconomicForum, nor the entirety of its Members,Partners or other stakeholders. ©2025 World Economic Forum. All rightsreserved. No part of this publication maybe reproduced or transmitted in any formor by any means, including photocopyingand recording, or by any informationstorage and retrieval system. Reading guide The World Economic Forum’s AI Transformation ofIndustries initiative seeks to catalyse responsibleindustry transformation by exploring the strategicimplications, opportunities and challenges ofpromoting artificial intelligence (AI)-driven innovationacross business and operating models. This white paper series explores the transformativerole of AI across industries. It provides insightsthrough both broad analyses and in-depthexplorations of industry-specific and regional deepdives. The series includes: Cross industry Regional specific Impact on industrial ecosystems Impact on regions Blueprint to Action:China’s Path toAI-Powered IndustryTransformation Industry or function specific Impact on industries, sectors and functions Media,entertainmentand sport Financialservices Healthcare Transport As AI continues to evolve at an unprecedentedpace, each paper in this series captures a uniqueperspective on AI – including a detailed snapshotof the landscape at the time of writing. Recognizingthat ongoing shifts and advancements are alreadyin motion, the aim is to continuously deepen andupdate the understanding of AI’s implicationsand applications through collaboration with thecommunity of World Economic Forum partners and stakeholders engaged in AI strategy andimplementation across organizations. Together, these papers offer a comprehensiveview of AI’s current development and adoption,as well as a view of its future potential impact.Each paper can be read stand-alone or alongsidethe others, with common themes emergingacross industries. Foreword Andy MooseHead of Health and Wellness,World Economic Forum Ben HornerManaging Director and Partner,Boston Consulting Group The global health landscape is on the cusp ofa significant transformation, driven by the rapidintegration of digital technologies and artificialintelligence (AI). In healthcare, medtech andpharma, an inflection point has been reached: thechoice now lies between transforming systemsor continuing down the road of incrementalimprovement. As this transformation unfolds, it iscrucial for addressing the urgency for real, impactfulchange rather than small, marginal advances. resources, leading to wide inequalities of outcome.Recent global events, particularly the COVID-19pandemic, have underscored the urgency of thistransformation by accelerating the adoption ofdigital health technologies. The shift to digitalhealth can be a powerful force in achieving healthequity, enabling access to quality healthcare forunderserved communities, and addressing thechronic disease burden affecting millions worldwide. AI in health faces dual challenges. First, theinherently sensitive nature of health, where theprotection of individuals is paramount, leads to ahighly risk-averse environment. Second, societalscepticism towards AI, as highlighted by consumersentiment surveys, presents a hurdle. AI transformation goes beyond adopting new tools;it involves rethinking the fundamentals of how healthis delivered and accessed. AI digital health solutions– including AI to improve operations such as note-taking or resource-scheduling but also telemedicine,remote monitoring and AI-driven diagnostics – holdthe potential to enhance efficiency, reduce costsand improve health outcomes globally.1 Realizing the full potential of AI in health requiresconcerted efforts and collaboration among variousstakeholders. The World Economic Forum’sDigital Healthcare Transformation (DHT) Initiativeaims to harness the power of digital solutions totackle pressing health challenges. This initiativeemphasizes the importance of public–privatepartnerships in driving the adoption and scaling ofdigital health technologies. Compared to other industries, healthcare exhibitsd