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Google > 实例探究 > Bayer and Google Cloud Collaborate to Develop AI-Powered Healthcare Applications for Radiologists

Bayer and Google Cloud Collaborate to Develop AI-Powered Healthcare Applications for Radiologists

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公司规模
Large Corporate
地区
  • America
  • Europe
国家
  • European Union
  • United States
产品
  • Vertex AI
  • BigQuery
  • Healthcare API
  • Chronicle
技术栈
  • Generative AI
  • Cloud-native pipeline
实施规模
  • Enterprise-wide Deployment
影响指标
  • Productivity Improvements
  • Customer Satisfaction
  • Innovation Output
技术
  • 分析与建模 - Generative AI
  • 平台即服务 (PaaS) - 数据管理平台
适用行业
  • 医疗保健和医院
  • 生命科学
适用功能
  • 质量保证
  • 商业运营
用例
  • 远程病人监护
服务
  • 云规划/设计/实施服务
  • 数据科学服务
  • 系统集成
关于客户
Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. The company is committed to driving sustainable development and generating a positive impact with its businesses. Bayer has a heritage of over 100 years in radiology and is dedicated to providing innovative products and high-quality services to support efficient and optimized patient care. The company offers a leading portfolio of contrast media for computed tomography (CT), X-ray, and magnetic resonance imaging (MRI), along with devices for their precise administration, informatics solutions, and a medical imaging platform delivering access to applications, including those enabled by AI. Bayer's radiology products generated about €2 billion in sales in 2023. The company is highly committed to research and development, leveraging AI to drive innovation in medical imaging. Bayer employs around 100,000 people and had sales of 47.6 billion euros in fiscal 2023.
挑战
Radiologists face significant challenges due to the increasing volume of medical imaging data, which accounts for about 90% of all healthcare data. This data is complex and requires efficient handling and interpretation to improve patient outcomes. The workload for radiologists is growing as billions of medical images are scanned globally each year. This situation necessitates the development of supportive AI tools to manage and analyze the vast amount of data efficiently. Additionally, there is a need for scalable and compliant AI-powered medical imaging software products that can handle this data while ensuring data security and compliance with healthcare regulations.
解决方案
Bayer and Google Cloud have collaborated to develop an innovation platform that accelerates the development and deployment of AI-powered healthcare applications, focusing on radiology. The platform is built on Google Cloud and utilizes tools like Vertex AI, BigQuery, Healthcare API, and Chronicle. It provides a cloud-native pipeline from product idea to launch, enabling users to analyze and experiment with AI-powered data analysis, design breakthrough healthcare solutions, and explore regulatory and scientific information. Developers can scale and engineer solutions using generative AI assistance for ideation, development, validation, and lifecycle management. The platform also facilitates the generation of documents aligned with healthcare requirements to aid in gaining regulatory approval. Healthcare and life science companies can deploy AI medical solutions standardized for flexible integration across compatible healthcare systems and analyze field data for insights, bias detection, and continuous improvement. The platform aims to bring innovative medical imaging tools to market faster and more cost-effectively, with a first version for extended testing planned for release later this year in the EU and US.
运营影响
  • The collaboration between Bayer and Google Cloud aims to transform the healthcare and life science industry by converting growing amounts of data into valuable insights, saving radiologists time, and optimizing their work for the benefit of patients.
  • The innovation platform provides a cloud-native pipeline that allows users to uncover insights with AI-powered data analysis, design breakthrough healthcare solutions, and explore regulatory and scientific information.
  • Developers can scale and engineer solutions using generative AI assistance for ideation, development, validation, and lifecycle management, facilitating the generation of documents aligned with healthcare requirements.
  • Healthcare and life science companies can deploy AI medical solutions standardized for flexible integration across compatible healthcare systems and analyze field data for insights, bias detection, and continuous improvement.
  • The platform is designed to bring innovative medical imaging tools to market faster and more cost-effectively, with a first version for extended testing planned for release later this year in the EU and US.
数量效益
  • Bayer's radiology products generated about €2 billion in sales in 2023.
  • Bayer employed around 100,000 people and had sales of 47.6 billion euros in fiscal 2023.
  • R&D expenses before special items amounted to 5.8 billion euros.

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