• 검색어에 아래의 연산자를 사용하시면 더 정확한 검색결과를 얻을 수 있습니다.
  • 검색연산자
검색연산자 기능 검색시 예
() 우선순위가 가장 높은 연산자 예1) (나노 (기계 | machine))
공백 두 개의 검색어(식)을 모두 포함하고 있는 문서 검색 예1) (나노 기계)
예2) 나노 장영실
| 두 개의 검색어(식) 중 하나 이상 포함하고 있는 문서 검색 예1) (줄기세포 | 면역)
예2) 줄기세포 | 장영실
! NOT 이후에 있는 검색어가 포함된 문서는 제외 예1) (황금 !백금)
예2) !image
* 검색어의 *란에 0개 이상의 임의의 문자가 포함된 문서 검색 예) semi*
"" 따옴표 내의 구문과 완전히 일치하는 문서만 검색 예) "Transform and Quantization"
쳇봇 이모티콘
ScienceON 챗봇입니다.
궁금한 것은 저에게 물어봐주세요.

논문 상세정보

인공지능 왓슨 기술과 보건의료의 적용

Artificial Intelligence Technology Trends and IBM Watson References in the Medical Field


This literature review explores artificial intelligence (AI) technology trends and IBM Watson health and medical references. This study explains how healthcare will be changed by the evolution of AI technology, and also summarizes key technologies in AI, specifically the technology of IBM Watson. We look at this issue from the perspective of 'information overload,' in that medical literature doubles every three years, with approximately 700,000 new scientific articles being published every year, in addition to the explosion of patient data. Estimates are also forecasting a shortage of oncologists, with the demand expected to grow by 42%. Due to this projected shortage, physicians won't likely be able to explore the best treatment options for patients in clinical trials. This issue can be addressed by the AI Watson motivation to solve healthcare industry issues. In addition, the Watson Oncology solution is reviewed from the end user interface point of view. This study also investigates global company platform business to explain how AI and machine learning technology are expanding in the market with use cases. It emphasizes ecosystem partner business models that can support startup and venture businesses including healthcare models. Finally, we identify a need for healthcare company partnerships to be reviewed from the aspect of solution transformation. AI and Watson will change a lot in the healthcare business. This study addresses what we need to prepare for AI, Cognitive Era those are understanding of AI innovation, Cloud Platform business, the importance of data sets, and needs for further enhancement in our knowledge base.

참고문헌 (28)

  1. Agrawal, K. (2010). To study the phenomenon of the Moravec's paradox. arXiv preprint arXiv:1012.3148. 
  2. Arel, I., Rose, D. C., & Karnowski, T. P. (2010). Deep machine learning: A new frontier in artificial intelligence research [research frontier]. IEEE Comput Intell Mag, 5(4), 13-18. 
  3. Aronowitz, S. (2015, November 3). IBM study: C-suite executives see "uberization" as primary competitive threat. Retrieved from https://www-03.ibm.com/press/us/en/pressrelease/47989.wss 
  4. Babbage. (2013, February 14). Doctor Watson. Retrieved from http://www.economist.com/blogs/babbage/2013/02/computer-aided-medicine 
  5. Bishop, C. M. (2006). Pattern recognition and machine learning. New York, NY: Springer Science & Business Media. 
  6. Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. N Engl J Med, 372(9), 793-795. 
  7. Comstock, J. (2013, February 11). IBM's Waton interns at Memorial Sloan-Kettering. Retrieved from http://mobihealthnews.com/20255/ibms-watson-internsat-memorial-sloan-kettering 
  8. Crandall, A. (2015). Deep learning: An introduction [Powerpoint slides]. Retrieved from http://eecs.wsu.edu/-cook/aiseminar/papers/DeepLearningIntroduction2 
  9. Deloitte. (2015). 2015 Global heal care outlook: Common goals, competing priorities. New York, NY: Deloitte Touche Tohmatsu. 
  10. Dorrier, J. (2015, November 11). Exponential medicine: Deep learning AI better than your doctor at finding cancer. Retrieved from http://singularityhub.com/2015/11/11/exponential-medicine-deep-learning-ai-better-than-yourdoctor-at-finding-cancer 
  11. Douglass, C. (2015, April 13). IBM & Apple expand partnership to help transform medical research. Retrieved from https://www-03.ibm.com/press/us/en/pressrelease/46583.wss 
  12. Haswell, H., & Sheldon, A. (2015, April 13). IBM and Medtronic to partner to improve diabetes care. Retrieved from http://newsroom.medtronic.com/phoenix.zhtml?c=251324&p=irol-newsArticle&ID=2034597 
  13. Henschen, D. (2013, November 2). IBM's Watson could be healthcare game changer. Retrieved from http://www.informationweek.com/software/information-management/ibms-watson-could-be-healthcare-game-changer/d/d-id/1108608? 
  14. High, R. (2016, March). The future of cognitive computing, Watson. Presented at the International Symposium on Artificial Intelligence, Seoul. Retrieved from http://www.aisymposium.co.kr 
  15. Kerr, D. (2014, June). Cognitive computing approach: "Watson Oncology". Presented at the 7th CLINAM Conference and Exhibition, Basel. Retrieved from https://www.clinam.org/images/stories/pdf/conference_14.pdf 
  16. King, H. (2013, November 21). What is digital transformation? Retrieved from http://www.theguardian.com/media-network/media-network-blog/2013/nov/21/digital-transformation 
  17. Kumar, S., & Nash, D. B. (2011, March 25). Health care myth busters: Is there a high degree of scientific certainty in modern medicine? Retrieved from http://www.scientificamerican.com/article/demand-better-health-care-book 
  18. Maedche, A. (2012). Ontology learning for the semantic web (Vol. 665). New York, NY: Springer Science & Business Media. 
  19. Modha, D. S., Ananthanarayanan, R., Esser, S. K., Ndirango, A., Sherbondy, A. J., & Singh, R. (2011). Cognitive computing. Commun ACM, 54(8), 62-71. 
  20. Newman, E. A., Guest, A. B., Helvie, M. A., Roubidoux, M. A., Chang, A. E., Kleer, C. G., ... & Newman, L. A. (2006). Changes in surgical management resulting from case review at a breast cancer multidisciplinary tumor board. Cancer, 107(10), 2346-2351. 
  21. Norton, S. (2015, September 25). Johnson & Johnson looks to IBM's Watson to predict patient outcomes. Retrieved from http://blogs.wsj.com/cio/2015/09/25/johnson-johnson-looks-to-ibms-watson-to-predict-patient-outcomes 
  22. Ogawa, N., & Matsukura, R. (2007, August). Ageing in Japan: The health and wealth of older persons. In United Nations expert group meeting on social and economic implications of changing population age structures (Vol. 31, pp. 199-220). 
  23. Roeder, A. (2014, August 11). Reducing wasteful health care spending begs the question, what is waste? Retrieved from https://www.hsph.harvard.edu/news/features/reducing-wasteful-health-care-spending 
  24. Russell, S., & Norvig, P. (1995). Artificial intelligence: A modern approach. Englewood Cliffs, NJ: Prentice Hall. 
  25. Schwab, K. (2016). The fourth industrial revolution. Geneva: World Economic Forum. 
  26. Slabodkin, G. (2016, April 13). Providers need new tools to make sense of unstructured data. Retrieved from http://www.healthdatamanagement.com/news/providers-need-new-tools-to-make-sense-of-unstructured-data 
  27. Ulanoff, L. (2016, April 12). IBM Watson enlists in the war on cancer. Retrieved from http://mashable.com/2016/04/12/ibm-watson-american-cancer-society/#0nkHq7T6imqf 
  28. Wood, L. (2016, June 8). Global Clinical Decision Support System (CDSS) market growth of 21.5% CAGR by 2022. Retrieved from http://www.businesswire.com/news/home/20160607006502/en 

이 논문을 인용한 문헌 (0)

  1. 이 논문을 인용한 문헌 없음


원문 PDF 다운로드

  • ScienceON :
  • KCI :

원문 URL 링크

원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다. 원문복사서비스 안내 바로 가기

상세조회 0건 원문조회 0건

이 논문과 연관된 기능

DOI 인용 스타일