Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Exploring AI-healthcare innovation: natural language processing-based patents analysis for technology-driven roadmapping

Exploring AI-healthcare innovation: natural language processing-based patents analysis for... The purposes of this paper are (1) to explore the overall development of AI technologies and applications that have been demonstrated to be fundamentally important in the healthcare industry, and their related commercialized products and (2) to identify technologies with promise as the basis of useful applications and profitable products in the AI-healthcare domain.Design/methodology/approachThis study adopts a technology-driven technology roadmap approach, combined with natural language processing (NLP)-based patents analysis, to identify promising and potentially profitable existing AI technologies and products in the domain of AI healthcare.FindingsRobotics technology exhibits huge potential in surgical and diagnostics applications. Intuitive Surgical Inc., manufacturer of the Da Vinci robotic system and Ion robotic lung-biopsy system, dominates the robotics-assisted surgical and diagnostic fields. Diagnostics and medical imaging are particularly active fields for the application of AI, not only for analysis of CT and MRI scans, but also for image archiving and communications.Originality/valueThis study is a pioneering attempt to clarify the interrelationships of particular promising technologies for application and related products in the AI-healthcare domain. Its findings provide critical information about the patent activities of key incumbent actors, and thus offer important insights into recent and current technological and product developments in the emergent AI-healthcare sector. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Exploring AI-healthcare innovation: natural language processing-based patents analysis for technology-driven roadmapping

Wang, Yu-Hui; Lin, Guan-Yu
Kybernetes , Volume 52 (4): 17 – Mar 24, 2023
Download PDF
17 pages

Loading next page...
 
/lp/emerald-publishing/exploring-ai-healthcare-innovation-natural-language-processing-based-fzy5DZruDi

References

References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0368-492X
DOI
10.1108/k-03-2021-0170
Publisher site
See Article on Publisher Site

Abstract

The purposes of this paper are (1) to explore the overall development of AI technologies and applications that have been demonstrated to be fundamentally important in the healthcare industry, and their related commercialized products and (2) to identify technologies with promise as the basis of useful applications and profitable products in the AI-healthcare domain.Design/methodology/approachThis study adopts a technology-driven technology roadmap approach, combined with natural language processing (NLP)-based patents analysis, to identify promising and potentially profitable existing AI technologies and products in the domain of AI healthcare.FindingsRobotics technology exhibits huge potential in surgical and diagnostics applications. Intuitive Surgical Inc., manufacturer of the Da Vinci robotic system and Ion robotic lung-biopsy system, dominates the robotics-assisted surgical and diagnostic fields. Diagnostics and medical imaging are particularly active fields for the application of AI, not only for analysis of CT and MRI scans, but also for image archiving and communications.Originality/valueThis study is a pioneering attempt to clarify the interrelationships of particular promising technologies for application and related products in the AI-healthcare domain. Its findings provide critical information about the patent activities of key incumbent actors, and thus offer important insights into recent and current technological and product developments in the emergent AI-healthcare sector.

Journal

Kybernetes – Emerald Publishing

Published: Mar 24, 2023

Keywords: Artificial intelligence; AI healthcare; Natural language processing; Patent analysis

References

  • A literature review on the state-of-the-art in patent analysis
    Abbas, A.; Zhang, L.; Khan, S.U.
  • Expert system in rural medical care
    Ahmed, A.; Aduragba, T.; Ajani, A.A.; Jimada-Ojuolape, B.; Ahmed, M.O.
  • Patent landscape of neglected tropical diseases: an analysis of worldwide patent families
    Akinsolu, F.T.; de Paiva, V.N.; Souza, S.S.; Varga, O.
  • Robotics and AI to be the face of new health
    Bajpai, P.
  • Automatic query-based keyword and keyphrase extraction
    Bayatmakou, F.; Ahmadi, A.; Mohebi, A.
  • Medical robots: current systems and research directions
    Beasley, R.A.
  • Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer
    Bejnordi, B.E.; Veta, M.; van Diest, P.J.; van Ginneken, B.; Karssemeijer, N.; Litjens, G.; van der Laak, J.A.W.M.
  • The inventor's role: was Schumpeter right?
    Braunerhjelm, P.; Svensson, R.
  • Artificial intelligence in the life sciences and patent analytics: market developments and intellectual property landscape
    Brayne, S.; McKellar, S.; Tzafestas, K.
  • A new method of creating technology/function matrix for systematic innovation without expert
    Cheng, T.Y.
  • Artificial intelligence in healthcare
    Cheong, M.C.S.
  • Healthcare commercialization programs: improving the efficiency of translating healthcare innovations from academia into practice
    Collins, J.M.; Reizes, O.; Dempsey, M.K.
  • The potential for artificial intelligence in healthcare
    Davenport, T.; Kalakota, R.
  • Do physicians value decision support? A look at the effect of decision support systems on physician opinion
    Dreiseitl, S.; Binder, M.
  • Gartner identifies the top 10 strategic technology trends for 2019
  • The emergence of care robotics – a patent and publication analysis
    Goeldner, M.; Herstatt, C.; Tietze, F.
  • The innovation value chain of patents: break through in the patent commercialization trap in Chinese universities
    Gong, H.; Nie, L.; Peng, Y.; Peng, S.; Liu, Y.
  • Artificial intelligence: opportunities and implications for the health workforce
    Hazarika, I.
  • Patent keyword extraction algorithm based on distributed representation for patent classification
    Hu, J.; Li, S.; Yao, Y.; Yu, L.; Yang, G.; Hu, J.
  • Technology-function matrix based network analysis of cloud computing
    Huang, J.Y.; Hsu, H.T.
  • Artificial intelligence in healthcare: past, present and future
    Jiang, F.; Jiang, Y.; Zhi, H.; Dong, Y.; Li, H.; Ma, S.; Wang, Y.; Dong, Q.; Shen, H.; Wang, Y.
  • Technology-driven roadmaps for identifying new product/market opportunities: use of text mining and quality function deployment
    Jin, G.; Jeong, Y.; Yoon, B.
  • The future of health and healthcare in a world of artificial intelligence
    Kar, U.K.; Dash, R.
  • Intuitive gains FDA clearance for Ion lung catheter
    Kelly, S.
  • Identifying medical diagnoses and treatable diseases by image-based deep learning
    Kermany, D.S.; Goldbaum, M.; Cai, W.; Valentim, C.C.S.; Liang, H.; Baxter, S.L.; McKeown, A.; Yang, G.; Wu, X.; Yan, F.; Dong, J.; Prasadha, M.K.; Pei, J.; Ting, M.Y.L.; Zhu, J.; Li, C.; Hewett, S.; Dong, J.; Ziyar, I.; Shi, A.; Zhang, R.; Zheng, L.; Hou, R.; Shi, W.; Fu, X.; Duan, Y.; Huu, V.A.N.; Wen, C.; Zhang, E.D.; Zhang, C.L.; Li, O.; Wang, X.; Singer, M.A.; Sun, X.; Xu, J.; Tafreshi, A.; Lewis, M.A.; Xia, H.; Zhang, A.
  • Artificial intelligence and radiology: what will the future hold?
    King, B.F.
  • Panasonic says it's found a quicker, more accurate way to measure loudness tolerance
    Kirkwood, D.
  • Artificial intelligence in surgery
    Köse, E.; Öztürk, N.N.; Karahan, S.R.
  • The use and misuse of citation analysis in research evaluation
    Kostoff, R.
  • A survey on machine learning techniques in health care industry
    Kumar, G.; Kalra, R.
  • Artificial intelligence: definition, types, examples, technologies
    Kumar GN, C.
  • Revolutionizing healthcare using artificial intelligence
    Kumaravelu, P.
  • Innovative diagnostic tools for early detection of Alzheimer's disease
    Laske, C.; Sohrabi, H.; Frost, S.
  • Business planning based on technological capabilities: patent analysis for technology-driven roadmapping
    Lee, S.; Yoon, B.; Lee, C.; Park, J.
  • Technology exploration and forecasting of biofuels and biohydrogen energy from patent analysis
    Leu, H.J.; Wu, C.C.; Lin, C.Y.
  • Focusing topics and trend analysis on the technology of artificial intelligence medical device
    Li, Z.; Li, P.; Gao, X.; Sun, Z.; Ma, L.; Cui, Z.
  • A review of medical artificial intelligence
    Liu, R.; Rong, Y.; Peng, Z.
  • Artificial intelligence and the fourth industrial revolution: ethical, social and legal considerations
    Mahomed, S.H.
  • Expert systems in artificial intelligence: applications and opportunities
    Malhotra, S.
  • Accelerating competitive advantage with AI: how organisations are moving from experimentation to business impact
    Microsoft UK
  • Surgery 3.0, artificial intelligence and the next-generation surgeon
    Mirnezami, R.; Ahmed, A.
  • Systematic poisoning attacks on and defenses for machine learning in healthcare
    Mozaffari-Kermani, M.; Sur-Kolay, S.; Raghunathan, A.; Jha, N.K.
  • Ion lung biopsy system from Intuitive Surgical wins FDA approval
    Newmarker, C.
  • Opportunity-driven technology roadmapping: the case of 5G mobile services
    Noh, H.; Kim, K.; Song, Y.; Lee, S.
  • Technology roadmapping: a planning framework for evolution and revolution
    Phaal, R.; Farrukh, C.J.P.; Probert, D.R.
  • Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
    Poplin, R.; Varadarajan, A.V.; Blumer, K.; Liu, Y.; McConnell, M.V.; Corrado, G.S.; Peng, L.; Webster, D.R.
  • How to develop technology roadmaps? The case of a hospital automation company
    Rocha, G.V.; Mello, C.H.P.
  • Artificial intelligence systems: enabling fast and efficient medical diagnosis?
    SCIEU Team
  • Artificial intelligence (ai) in healthcare market forecast to 2027 - covid-19 impact and global analysis by component (software solution, hardware, and services), application (robot assisted surgery, virtual assistants, administrative workflow assistants, connected machines, diagnosis, clinical trials, fraud detection, cybersecurity, dosage error reduction, and others), end user (hospitals and healthcare providers, patients, pharma and biotech companies, healthcare payers, and others), and geography
    The Insight Partners
  • Automated deep-neural-network surveillance of cranial images for acute neurologic events
    Titano, J.J.; Badgeley, M.; Schefflein, J.; Pain, M.; Su, A.; Cai, M.; Swinburne, N.; Zech, J.; Kim, J.; Bederson, J.; Mocco, J.; Drayer, B.; Lehar, J.; Cho, S.; Costa, A.; Oermann, E.K.
  • Artificial intelligence software market to reach $105.8 billion in annual worldwide revenue by 2025
    Tractica
  • Guidelines for preparing patent landscape reports
    Trippe, A.
  • Patent analysis for technology development of artificial intelligence: a country-level comparative study
    Tseng, C.Y.; Ting, P.H.
  • Text mining techniques for patent analysis
    Tseng, Y.H.; Lin, C.J.; Lin, Y.I.
  • Societal issues concerning the application of artificial intelligence in medicine
    Vellido, A.
  • Applying patent-based fuzzy quality function deployment to explore prospective VoLTE technologies
    Wang, Y.H.; Chow, T.H.
  • Explore technology innovation and intelligence for Iot (internet of things) based eyewear technology
    Wang, Y.H.; Hsieh, C.C.
  • Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics
    Bonino, D.; Ciaramella, A.; Corno, F.
  • The application of medical artificial intelligence technology in rural areas of developing countries
    Guo, J.; Li, B.
  • Visualization of patent analysis for emerging technology
    Kim, Y.G.; Suh, J.H.; Park, S.
  • AI in health care: capacity, capability, and a destiny of active health in Asia
    MIT Technology Review Insights
  • E-health and wellbeing monitoring using smart healthcare devices: an empirical investigation
    Papa, R.; Mital, M.; Pisano, P.; Del Giudice, M.
  • Mapping the patent landscape in the field of personalized medicine
    Song, C.H.; Han, J.W.; Jeong, B.; Yoon, J.