Medical imaging based on AI technology

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Medical imaging based on AI technology
SectorMost major industry classification systems use sources of revenue as their basis for classifying companies into specific sectors, subsectors and industries. In order to group like companies based on their sustainability-related risks and opportunities, SASB created the Sustainable Industry Classification System® (SICS®) and the classification of sectors, subsectors and industries in the SDG Investor Platform is based on SICS.
Health Care
Health Care Providers
Business Model Description

Invest in medical imaging based on AI technology as it is one of the most mature applications of AI technology in the healthcare industry.

The business models of manufacturers in the medical imaging equipment industry are signing contracts with hospitals to offer medical imaging equipment and services; entering partnerships with hospitals to take responsibility for imaging departments; establishing independent medical imaging centers.

Technology companies focusing exclusively on AI software can cooperate with medical imaging equipment manufacturers and hospitals to achieve profits. They can sell their products to hospitals on an annual contract basis or enter partnerships with hospitals and earn revenues based on the number of patients who use their products.

Expected Impact

Improve the efficiency and accuracy of diagnosing, improve accessibility to medical data

Indicative ReturnDescribes the rate of growth an investment is expected to generate within the IOA. The indicative return is identified for the IOA by establishing its Internal Rate of Return (IRR), Return of Investment (ROI) or Gross Profit Margin (GPM).
20% - 25% (in IRR)
Investment TimeframeDescribes the time period in which the IOA will pay-back the invested resources. The estimate is based on asset expected lifetime as the IOA will start generating accumulated positive cash-flows.
Short Term (0–5 years)
Market SizeDescribes the value of potential addressable market of the IOA. The market size is identified for the IOA by establishing the value in USD, identifying the Compound Annual Growth Rate (CAGR) or providing a numeric unit critical to the IOA.
USD 100 million - USD 1 billion
Average Ticket Size (USD)Describes the USD amount for a typical investment required in the IOA.
Experts estimated that the potential rate of return in this investment opportunity would be 20 – 30%.
Direct ImpactDescribes the primary SDG(s) the IOA addresses.
Good health and well-being (SDG 3)
Indirect ImpactDescribes the secondary SDG(s) the IOA addresses.
Industry, Innovation and Infrastructure (SDG 9) Reduced Inequalities (SDG 10)
Sector Sources
  • 1) Ministry of Foreign Affairs,2019 https://www.fmprc.gov.cn/mfa_eng/topics_665678/2030kcxfzyc/P020190924780823323749.pdf "2) UNDP.2019 https://www.cn.undp.org/content/china/en/home/library/human_development/national-human-development-report-special-edition.html" 3)UN Women. (2020). Policy Brief: The Impact of Covid-19 on Women and Girls. UN Women.
IOA Sources
  • 21) Sohu, 2017, https://www.sohu.com/a/208789603_204078 22) Tencent, 2020, https://xw.qq.com/cmsid/20200303A094U800 23) Tencent, 2019, https://new.qq.com/omn/20190523/20190523A0M4Q9.html?pc 24) the State Department, 2015, Made in China 2025 (《中国制造2025》) ,http://www.gov.cn/zhengce/content/2015-05/19/content_9784.html 25) National Development and Reform Commission, 2016, Internet+ artificial intelligence three year action plan (《互联网+ 人工智能三年行动实施方案》), https://www.miit.gov.cn/n1146290/n1146392/c4808445/part/4808453.pdf 26) Ministry of Industry and Information Technology, 2017, Three year action plan for promoting the development of new generation artificial intelligence industry (《促进新一代人工智能产业发展三年行动计划》), http://iot.china.com.cn/content/2017-12/15/content_40107109.html 27) State department, 2018, Opinions on promoting the development of Internet healthcare (《关于促进“互联网+医疗健康”发展的意见》) , www.gov.cn/zhengce/content/2018-04/28/content_5286645.html 28) NCBI, 2018, "Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine", https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6199205/