Review on Artificial Intelligence and Applications in Healthcare

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Authors

  • Ravish Huchegowda, MBBS, MD
  • Srinivas Huchegowda, MBBS
  • Jyothi R. Jain, Mphil, PhD
  • Manoj Parthasarathy, MBBS Student
  • Tharika Shraddha, MBBS
  • Nagalakshmi C. Sathyanarayanshetty, MBBS, MD
  • Bharat V. Poojary, BE
  • Farhan Zameer, MSc, PhD
  • Chetan H Gowda, BE, MTech, PhD
  • Naveen H. Gowda, BE, MTech
  • Huskur N. Venkatesh, MSc, PhD

DOI:

https://doi.org/10.17140/NOJ-6-e010

Keywords:

Artificial intelligence; Deep learning; Healthcare; Diagnostics; Imaging

Abstract

Artificial intelligence (AI) is going to make huge difference in our day to day lives. AI is influencing the way we live and how we
interact with the world, and there is much more to come in the years to follow with more advancement. As AI becomes more
deeply integrated into our lives, it will become the new infrastructure powering a second industrial revolution. Bridging the link
between current nano-sciences and AI, it can boost research in various disciplines and provide a new generation of information
and communication technologies that shows a large impact in our society, probably providing the means so that technology and
biology merge. Major changes in the education curriculum of medical professionals need to take place. But the rising cost of
healthcare may prove to be an independent driving force to develop these technologies; meanwhile health information technology
not only improves the quality of care, but also reduces its cost significantly. AI has the potentiality to reduce the cost of healthcare
markedly and in future, this may translate into creation of promotional policies to accelerate investment in AI by rewarding the
hospitals and the physicians who incorporates it into their workflow. While a terminator-like scenario is unlikely any time soon,
the progression of artificial intelligence techniques and its applications will certainly be very exciting.

References

Modi S. Artificial intelligence and neurology. J Biomed Syst Emerg Technol. 2016; 3:

Katamreddy S, Riordan D, Doody P. Artificial Calf Weaning Strategies and the Role of Machine Learning: A Review. Papaer presented at: Irish Signals and Systems Conference (ISSC). 20-21 June 2017; Killarney, Ireland. doi: 10.1109/ISSC.2017.7983634

Zackova E. Intelligence explosion quest for humankind. Beyond Artificial Intelligence. 2015; 9: 31-43. doi: 10.1007/978-3-319-09668- 1_3

Dash D. Autonomy and Artificial Intelligence: The Future Ingredient of Area Denial Strategy in Land Warfare. New Delhi, India: KW Publishers Pvt Ltd. 2018.

Dembski W, Kushiner J, (eds). Signs of Intelligence: Understanding Intelligent Design. Ada, Michigan, USA: Brazos Press. 2001.

Kallio J. Support Vector machine and deep learning in medical applications. University of Tampere. 2017. Web site. http://tampub. uta.fi/bitstream/handle/10024/101911/GRADU-1504009242. pdf ?sequence=1&isAllowed=y

Caronongan A, Gorgui-Naguib H, Naguib RNG. The Development of Intelligent Patient-Centric Systems for Health Care. New York, USA: Springer International Publishing. 2018.

Gubbi J, Buyya R, Marusic S, Palaniswami M. Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems. 2013; 29: 1645-1660. doi: 10.1016/j. future.2013.01.010

Salman M, Wahab Ahmed A, Ahmad Khan O, et al. Artificial intelligence in bio-medical domain: An overview of AI based innovations in medical. International Journal of Advanced Computer Science and Applications. 2017; 8: 319-327.

Turban E, Leidner D, McLean E, Wetherbe J. Information Technology for Management, 6th ed. New Jersey, USA: John Wiley & Sons; 2008.

Torkamani A, Andersen KG, Steinhubl SR, Topol EJ. High-definition medicine. Cell. 2017; 170: 828-843. doi: 10.1016/j. e3 cell.2017.08.007

Mitra S, Shankar BU. Integrating radio imaging with gene expressions toward a personalized management of cancer. IEEE Transactions on Human-Machine Systems. 2014; 44: 664-677. doi: 10.1109/THMS.2014.2325744

Gustafson DH, McTavish FM, Chih MY, et al. A smartphone application to support recovery from alcoholism: A randomized clinical trial. JAMA psychiatry. 2014; 71: 566-572. doi: 10.1001/ jamapsychiatry.2013.4642

Diana F. Artificial Intelligence Intersects with Nanotechnology. Web site: https://medium.com/@frankdiana/artificial-intelligence-intersects-with-nanotechnology-a674204daa31. 2016.

Jain LC, Kandel A, Teodorescu HN. Fuzzy and Neuro-Fuzzy Systems in Medicine. Florida, USA: CRC Press. 2017.

Neill DB. Using artificial intelligence to improve hospital inpatient care. IEEE Intelligent Systems. 2013; 1: 92-95. doi: 10.1109/ MIS.2013.51

Krishnaiah V, Narsimha DG, Chandra DN. Diagnosis of lung cancer prediction system using data mining classification techniques. International Journal of Computer Science and Information Submit your article to this journal | https://openventio.org/submit-manuscript/ e4 Huchegowda R et al Technologies. 2013; 4: 39-45.

Müller H, Michoux N, Bandon D, Geissbuhler A. A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. Int J Med Inform. 2004; 73: 1-23. doi: 10.1016/j.ijmedinf.2003.11.024

Vas P. Artificial-Intelligence-Based Electrical Machines and Drives: Application of Fuzzy, Neural, Fuzzy-Neural, and Genetic-Algorithm-Based Techniques. England, UK: Oxford University Press. 1999.

Jang JS. ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics. 1993; 23: 665-685. doi: 10.1109/21.256541

Hudson DL, Cohen ME. Use of Intelligent Agents in the Diagnosis of Cardiac Disorders. Paper presented at: Computers in Cardiology. 22-25 September 2002; Memphis, TN, USA. 633-636. doi: 10.1109/CIC.2002.1166852

Beaver BV. Feline Behavior-E-Book. Philadelphia, USA: Saunders Press: 2003.

Turner AP, Magan N. Electronic noses and disease diagnostics. Nat Rev Microbiol. 2004; 2: 161-166. doi: 10.1038/nrmicro823 Editorial | Volume 6 | Issue 1|

Published

2019-01-19

How to Cite

Ravish Huchegowda, MBBS, MD, Srinivas Huchegowda, MBBS, Jyothi R. Jain, Mphil, PhD, Manoj Parthasarathy, MBBS Student, Tharika Shraddha, MBBS, Nagalakshmi C. Sathyanarayanshetty, MBBS, MD, … Huskur N. Venkatesh, MSc, PhD. (2019). Review on Artificial Intelligence and Applications in Healthcare. Neuro, 6(1), 21–24. https://doi.org/10.17140/NOJ-6-e010

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