Medical AI Enters the Deep-Water Phase: Nearly 20 Industry Leaders Discuss the Path Forward

Nov 15, 2019 15:04 CST Updated 15:04

With the advancement of artificial intelligence (AI) technologies, techniques such as voice interaction, computer vision, cognitive computing, and deep learning have gradually matured, making various applications in AI-driven healthcare possible. These include voice-based electronic health record entry, intelligent recognition of medical images, clinical decision support, medical robots, intelligent analysis of personal health big data, and AI-enabled pharmaceutical research and development.

However, in practical applications, AI+Healthcare today faces numerous challenges beyond trust and commercialization, including those related to policy and regulation.

On the Occasion of the 2019 Future Healthcare Top 100 Conference,VCBeatJoining HandsYuanjing Capital, atDecember 22, 2019, inBeijing·Jiuhua Mountain VillaCo-Hosted ByMedical AI Forum。

This forum will center onAuxiliary Diagnosis, Image Reconstruction, Policy Regulation, Commercialization, NLPtopics such as, invitingYuanjing Capital, IBM, Philips Group, Microsoft Asia Internet Engineering Institute’s AI R&D Division, BMJ Group (UK)Guests participate in sharing and discussion.

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“2019 Future Healthcare Top 100 Conference · Medical AI Forum”Agenda First Publicly Released

Section	Proposed Agenda	Proposed Guests
AI Healthcare Application Scenarios Launch, with Assisted Diagnosis Set to Achieve Commercialization First	What Kind of AI Imaging Products Do Doctors Need in 2020?	Wang Xiaoying \| Director, Department of Medical Imaging, Peking University First Hospital
	The Role and Challenges of AI-Assisted Diagnostic Technology in the Medical Field	Li Ming \| IBM Medical Director
	Intelligent Diagnosis Empowers Medical Imaging	Ma Chun'e \| Founder and CEO of Shukun Technology
"Medical Imaging + AI":Risks and Opportunities Coexist	"Artificial Intelligence in Healthcare Report"	Liang Jianqiu \| Vice President, Greater China Lead for Group Strategy & Partnerships, Connected Care Business Group, Philips
	The Role of Image Reconstruction in Traditional Imaging Devices	Fang Qu \| President and CTO of Xingmai Technology
	Reflections on the Development of AI in Medical Imaging as It Enters Deep Waters	Zhang Hua \| CEO of Lianxin Medical
Deep Reflections on AI Imaging Regulation	Discussion: From Frenzy to Reshuffling: Deep Reflections on the Regulation of AI Medical Imaging	Discussion Among Benchmark Enterprises and Investors
Lunch Break
Medical AI Innovation Driven by NLP and Big Data	AI- and Data-Driven Healthcare Startups	Tian Min \| Partner at Yuanjing Capital
	Applications of NLP in Clinical Informatics	Zhai Lei \| Senior Director, AI R&D Division, Microsoft Asia Internet Engineering Institute
	Challenges and Responses in Natural Language Processing of Clinical Electronic Medical Records	Kong Yuyan \| Vice President, BMJ Group China
	The Future of Medical AI: From Data and Interpretability to Full-Stack Intelligence	Lv Hairong \| Co-founder of iYisheng, Associate Research Fellow at Tsinghua University
	Practices in the Development of Class III Innovative Medical Devices with Deep Learning-Assisted Decision-Making	Hu Zhigang \| General Manager, Shenzhen Silicon Intelligence Technology Co., Ltd.
Value Validation: Reflections on the Commercialization of Medical AI	Discussion: Where Is the Key Logjam in AI Commercialization?	Benchmark Enterprises and Investor Discussions

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Concurrent Events:

2019 Future Healthcare Top 100 · Digital Pathology and Precision Diagnostics Forum

2019 Future Healthcare Top 100 · China-Japan Health Industry Development Forum

2019 Future Healthcare Top 100 · Smart Hospital Construction Forum

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Morning Session: Nearly 10 Experts, 3 Major Modules

Focusing on Core Topics such as Computer-Aided Diagnosis, Image Reconstruction, and Regulatory Approval

Module 1:AI Healthcare Application Scenarios Launch, with Assisted Diagnosis Set to Lead Commercialization

Guest: Wang Xiaoying, Director of the Department of Medical Imaging, Peking University First Hospital

Proposed Agenda Items: What Kind of AI Imaging Products Do Doctors Need in 2020?

In the current field of artificial intelligence for medical imaging, models exhibit a tendency toward homogenization and suffer from poor generalizability, often leading to suboptimal performance when deployed in different clinical settings (“acclimatization issues”). On one hand, there is an abundance of detection products targeting specific diseases (such as distinguishing between benign and malignant pulmonary nodules). On the other hand, the homogenization of the underlying databases results in remarkably similar performance across various products. These two factors may cause a product to perform well in Hospital A but show diminished efficacy in Hospital B. Addressing challenges such as product homogenization and the lack of standardized, high-quality databases, determining what type of AI products hospitals truly need is a critical consideration for numerous medical AI enterprises during the application and implementation phases.

Guest:Li Ming，IBM Medical Director

Proposed Topic:The Role and Challenges of AI-Assisted Diagnostic Technology in the Medical Field

In recent years, AI-assisted diagnostic technologies have achieved a series of breakthroughs. The guest speaker will focus on analyzing the current development status and market drivers of AI-assisted diagnostics, while exploring their significant value as well as existing problems and challenges.

Guest:Ma Chun'e | Founder and CEO of Shukun Technology

Proposed Agenda:Intelligent Diagnosis Empowers Medical Imaging

As a “steadfast pioneer” with ten years of experience in the healthcare industry, Yizhan has undergone a transformation from traditional informatization to intelligent diagnostic services. The guest speaker will share insights on how they conceptualized and established an ecosystem for the entire industry during this transition.

Module 2: “Medical Imaging + AI”: Risks and Opportunities Coexist

Guest:Liang Jianqiu，Vice President, Greater China Head of Group Strategy and Partnerships, Connected Care Business Group, Philips Greater China

Proposed Topics:"Artificial Intelligence in Healthcare Report"

From a global perspective to China, Philips is expanding its innovative businesses through mergers and acquisitions, investments, and other strategies. This report focuses on analyzing Philips’ significant transformation in its AI healthcare strategy, systematically reviews the current state of artificial intelligence applications in the medical field, examines the challenges and development trends facing AI-driven healthcare, and provides corresponding recommendations.

Guest:Fang Qu, President and CTO of Xingmai Technology

Proposed Agenda:The Role of Image Reconstruction in Traditional Imaging Devices

Image reconstruction using AI algorithms to generate high-quality images equivalent to those from high-dose CT scans, based on low-dose CT and PET images, represents a significant advancement in the application of deep learning to image reconstruction. Notably, its speed is significantly superior to that of traditional fully iterative reconstruction methods, demonstrating strong potential for clinical applications.

Guest:Zhang Hua | CEO of Lianxin Medical

Proposed Agenda:Reflections on the Development of AI in Medical Imaging as It Enters Deep Waters

Artificial Intelligence in Medical Imaging Is Rapidly Transitioning from the Experimental Phase to Clinical Trial Phases. Improvements in the availability of large datasets, advances in computational power, and progress in learning algorithms have brought significant breakthroughs to the development and application of AI in medical imaging, with related industries demonstrating robust growth trends and momentum. However, this progress is accompanied by a lack of industry standards and regulation, as well as bottlenecks in technology and data. As AI in medical imaging enters a more complex and challenging phase, critical questions warrant our consideration: How can it achieve healthy development? How can products overcome existing barriers? And how can they be effectively adapted to diverse clinical scenarios?

Module 3:Deep Reflections on AI Imaging Regulation

Guest:Benchmark Enterprises, Investors

Proposed Agenda:From Frenzy to Consolidation: The Regulation of AI Medical ImagingDeep Thinking

Whether AI medical imaging products need to be registered as medical devices when entering the market; how to legally use health and medical data and personal information during research, development, and operation; and how to determine product liability and medical malpractice liability associated with the use of AI medical imaging products. The speakers will explore the regulatory hurdles impeding the commercialization of AI medical imaging products.

Afternoon Session, Focusing on NLP and Big DataMedical AI Innovation,Exploring the Commercialization of Medical AI

Guest:Tian Min, Partner at Yuanjing Capital

Proposed Agenda:AI- and Data-Driven Healthcare Startups

Whether it is the BAT giants (Baidu, Alibaba, Tencent) or the newly emerged TMD trio (Toutiao, Meituan, Didi), data-driven innovation is taking shape. Data serves as the fuel, providing the foundation and momentum for AI development. This topic will explore the development paths and opportunities of data-driven healthcare startups from an investor’s perspective.

Guest:Zhai Lei, Senior Director of the AI R&D Division at Microsoft Asia Internet Engineering Institute

Proposed Agenda:Applications of NLP in Clinical Informatics

In today’s society, everyone lives in two worlds—the physical world and the digital world. Our bodies also exist in these two realms: experiencing birth, aging, illness, and death in the physical world, while generating health records in the digital world. These data serve as the driving force of the intelligent era and constitute an information treasure trove that reflects the underlying causes of health and disease. If further refined, these data will become a vital source of innovation for the healthcare industry, bringing about a transformative renewal across the entire sector.

Guest:Kong Yuyan, Vice President of BMJ Group China

Proposed Agenda:Challenges and Responses in Natural Language Processing of Clinical Electronic Medical Records

This paper will explore three pitfalls in natural language processing of clinical electronic medical records and some solutions to identify these pitfalls, focusing on three dimensions: data quality issues, data structuring issues, and data standardization issues.

Guest:Lv Hairong，Co-founder of iMedical Voice, Associate Researcher at Tsinghua University

Proposed Agenda:The Future of Medical AI: From Data and Interpretability to Full-Stack Intelligence

The speaker will focus on the construction of full-stack artificial intelligence systems and introduce their applications in the field of medical informatics through multiple examples.

Guest:Hu Zhigang, General Manager of Shenzhen Guiji Intelligent Technology Co., Ltd.

Proposed Agenda:Practices in the Development of Class III Innovative Medical Devices with Deep Learning-Assisted Decision-Making

The guest will share insights on “Key Points for the Review of Medical Device Software with Deep Learning-Assisted Decision-Making,” combined with practical case studies.

Module 2: Value Validation, Reflections on the Commercialization of Medical AI

Guest:Benchmark Enterprises, Investors

Proposed Agenda:Discussion—Where Is the Key Bottleneck Holding Back AI Commercialization?

For AI healthcare companies, products are merely foundational infrastructure. Accelerating commercialization and capturing a larger market share are essential conditions for survival, as well as one of the primary concerns for investors at this stage.

"New Growth in Life": 2019 Future Healthcare 100 Conference

VCBeat’s 2019 Top 100 Future Healthcare Companies Conference, themed “New Growth Drivers for Life,” will comprehensively showcase the innovation ecosystem in China’s healthcare sector by examining factors such as the policy environment, technological landscape, and demand potential. With a core focus on fostering industry exchange and interaction, the event aims to create a premier platform for the integration of industry and capital.

Five Major Product Pillars: Five Thematic Summits and Over Ten Sub-Forum Tracks, the Future Healthcare 100 Rankings and Awards Series, the Future Healthcare 100 Report Series, the Future Healthcare 100 Exhibition, and a Series of Networking Events.

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