Journal of
Computational Biology and Bioinformatics Research

  • Abbreviation: J. Comput. Biol. Bioinform. Res
  • Language: English
  • ISSN: 2141-2227
  • DOI: 10.5897/JCBBR
  • Start Year: 2009
  • Published Articles: 39

Review

The perils of artificial intelligence in healthcare: Disease diagnosis and treatment

Jung C. Lee
  • Jung C. Lee
  • BioMolecular Engineering Program and Department of Physics and Chemistry, Milwaukee School of Engineering, Milwaukee, Wisconsin, USA.
  • Google Scholar


  •  Received: 01 March 2019
  •  Accepted: 15 April 2019
  •  Published: 30 April 2019

References

Acuna-Hidalgo R, Veltman JA, Hoischen A (2016). New insights into the generation and role of de novo mutations in health and disease. Genome biology 17(1):241.
Crossref

 

American Medical Association (AMA) (2018). Augmented intelligence in health care H-480.940. View

 
 

Baker M (2012). The changes that count. Nature 482:257-262.
Crossref

 
 

Bartlett R, Morse L, Stanton R, Wallace N (2018). Consumer-lending discrimination in the era of FinTech. View
Crossref

 
 

Bini SA (2018). Artificial intelligence, machine learning, deep learning, and cognitive computing: What do these terms mean and how will they impact health care? Journal of Arthroplasty 33: 2358-2361.
Crossref

 
 

Bleicher A (2017). Demystifying the black box that is AI. Scientific American, August 9. 

View

 
 

Boddy A, Hurst W, Mackay M, El Rhalibi A, Baker T, Monta-ez CA (2019). An Investigation into Healthcare-Data Patterns. Future Internet 11(2):30.
Crossref

 
 

Burger MF, Lawrence MS, Demichelis F, Drier Y, Cibulskis K, Sivachenko AY, Sboner A, Esgueva R, Pflueger D, Sougnez C, Onofrio R (2011). The genomic complexity of primary human prostate cancer. Nature 470(7333):214.
Crossref

 
 

Canetti R, Cohen A, Dikkala N, Ramnarayan G, Scheffler S, Smith A (2019). From Soft Classifiers to Hard Decisions: How fair can we be?. In Proceedings of the Conference on Fairness, Accountability, and Transparency pp. 309-318.
Crossref

 
 

Challen R, Denny J, Pitt M, Gompels L, Edwards T, Tsaneva-Atanasova K (2019). Artificial intelligence, bias and clinical safety. BMJ Quality and Safety 28(3):231-237.
Crossref

 
 

Daley S (2018). Surgical robots, new medicines and better care: 17 examples of AI in healthcare. December 5.

 
 

Davenport TH, Bean R (2018). The problem with AI pilots. July 26. View

 
 

Ekblom R, Wolf JBW (2014). A filed guide to whole-genome sequencing, assembly and annotation. Evolutionary Applications 7:1026-1042.
Crossref

 
 

Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639):115-118.
Crossref

 
 

FDA (2013). Guidance for industry: electronic source data in clinical investigation. 

 
 

Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009). Detecting influenza epidemics using search engine query data. Nature 457(7232):1012-1014.
Crossref

 
 

Hao K (2019). We analyzed 16,625 papers to figure out where AI is headed next. MIT Technology Review, January 25.

 
 

International Human Genome Sequencing Consortium (IHGSC) (2004). Finishing the euchromatic sequence of the human genome. Nature 431:931-945.
Crossref

 
 

JASON (2017). Artificial intelligence for health and health care. View.

 
 

Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, Wang Y, Dong Q, Shen H, Wang Y (2017). Artificial intelligence in healthcare: past, present and future. Stroke and vascular neurology. 2(4):230-243.
Crossref

 
 

Kalis B, Collier M, Fu R (2018). 10 Promising AI applications in Health Care. Harvard Business Review, May 10.

 
 

Knight W (2017). The dark secret at the heart of AI. MIT Technology Review, April 11.

 
 

Larson J, Mattu S, Kirchner L (2016). Machine Bias. ProPublica, May 23.

 
 

Lazer D, Kennedy R, King G, Vespignani A (2009). The parable of Google Flu: Traps in big data analysis. Science 343:1203-1205.
Crossref

 
 

Lee JC (2017). Are genes and their mutations responsible for disease? International Journal of Structural and Computational Biology 1(1):1-5.

 
 

Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, O'Donnell-Luria AH, Ware JS, Hill AJ, Cummings BB, Tukiainen T (2016). Analysis of protein-coding genetic variation in 60,706 humans. Nature 536(7616):285-291.
Crossref

 
 

Mandal S, Greenblatt AB, An J (2018). Imaging intelligence: AI is transforming medical imaging across the imaging spectrum. IEEE Pulse 9(5):16-24.
Crossref

 
 

Mocanu DC, Mocanu E, Stone P, Nguyen PH, Gibescu M, Liotta A (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature communications 9(1):2383.
Crossref

 
 

Murphy DR, Meyer AN, Vaghani V, Russo E, Sittig DF, Wei L, Wu L, Singh H (2018). Electronic triggers to identify delays in follow-up of mammography: Harnessing the power of big data in health care. Journal of American College Radiology 15:287-295.
Crossref

 
 

Ravi D, Wong C, Deligianni F, Berthelot M, Andreu-Perez J, Lo B, Yang GZ (2017). Deep learning for healthcare informatics. IEEE Journal of Biomedical and Health Informatics 21(1):4-21.
Crossref

 
 

Rosenblatt F (1958). The perception: A probabilistic model for information storage and organization in the brain. Psychological Review 65:386-408.
Crossref

 
 

Ross C (2019). FDA developing new rules for artificial intelligence in medicine. April 2. View.

 
 

Schmidhuber J (2014). Deep learning in neural networks: An overview. Neural networks 61:85-117.
Crossref

 
 

Seo JS, Rhie A, Kim J, Lee S, Sohn MH, Kim CU, Hastie A, Cao H, Yun JY, Kim J, Kuk J (2016). De novo assembly and phasing of a Korean human genome. Nature 538:243-247.
Crossref

 
 

Sherman RM, Forman J, Antonescu V, Puiu D, Daya M, Rafaels N, Boorgula MP, Chavan S, Vergara C, Ortega VE, Levin AM (2019). Assembly of a pan-genome from deep sequencing of 910 humans of African descent. Nature Genetics 51(1):30-35.
Crossref

 
 

Simonite T (2014). IBM aims to make medical expertise a commodity. MIT Technology Review, July 21.

 
 

Wang JY, Ho HY, Chen JD, Chai S, Tai CJ, Chen YF (2015a). Attitudes toward inter-hospital electronic patient record exchange: Discrepancies among physicians, medical record staff, and patients. BMC Health Services Research 15(1):264.
Crossref

 
 

Wang T, Birsoy K, Hughes NW, Krupczak KM, Post Y, Wei JJ, Lander ES, Sabatini DM (2015b). Identification and characterization of essential genes in the human genome. Science 350:1096-1101.
Crossref

 
 

Warwick W, Johnson S, Bond J, Fletcher G, Kanellakis PA (2015). A framework to assess healthcare data quality. The European Journal of Social and Behavioral Sciences 13(2):1730-1735.
Crossref

 
 

Yampolskiy RV, Spellchecker MS (2016). Artificial intelligence safety and cybersecurity: a timeline of AI failures. arXiv:1610.07997.