DOI: http://dx.doi.org/10.18203/2320-6012.ijrms20195940

Artificial intelligence and machine learning: changing paradigm in diagnostics and imaging

Rahul Badwaik

Abstract


Healthcare industry is currently undergoing a digital transformation, and Artificial Intelligence (AI) is the latest buzzword in the healthcare domain. The accuracy and efficiency of AI-based decisions are already been heard across countries. Moreover, the increasing availability of electronic clinical data can be combined with big data analytics to harness the power of AI applications in healthcare. Like other countries, the Indian healthcare industry has also witnessed the growth of AI-based applications. A review of the literature for data on AI and machine learning was conducted. In this article, we discuss AI, the need for AI in healthcare, and its current status. An overview of AI in the Indian healthcare setting has also been discussed.


Keywords


Artificial intelligence, Deep learning, Healthcare, Imaging, Machine learning

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References


Artificial Intelligence. Professor John McCarthy Father of AI. Available at: http://jmc.stanford.edu/artificial-intelligence/index.html. Accessed 22 September 2019.

O'Mahony C, Jichi F, Pavlou M, Monserrat L, Anastasakis A, Rapezzi C, et al. A novel clinical risk prediction model for sudden cardiac death in hypertrophic cardiomyopathy (HCM risk-SCD). Euro Heart J. 2013 Oct 14;35(30):2010-20.

Majaj NJ, Pelli DG. Deep learning -Using machine learning to study biological vision. J Vision. 2018 Dec 3;18(13):2.

de Saint Laurent C. In defence of machine learning: Debunking the myths of artificial intelligence. Euro J Psychol. 2018 Nov;14(4):734-47.

Goodman DC, Fisher ES. Physician workforce crisis? Wrong diagnosis, wrong prescription. New Eng J Med. 2008 Apr 17;358(16):1658-61.

US Food and Drug Administration. Guidance for industry: electronic source data in clinical investigations. Silver Spring: FDA; 2013:15.

Jiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vascular Neurol. 2017 Dec 1;2(4):230-43.

Research and Markets. In-Vitro Diagnostics (IVD) Market Report: Market Expected to Increase to $76 Billion by 2023, Increasing its Influence over Healthcare Spending Globally. 2017. Available at: https://globenewswire.com/news-release/2017/05/05/979486/0/en/In-Vitro-Diagnostics-IVD-Market-Report-Market-Expected-to-Increase-to-76-Billion-by-2023-Increasing-its-Influence-over-Healthcare-Spending-Globally.html. Accessed 22 September 2019.

Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiol. 2015 Nov 18;278(2):563-77.

Li CY, Liang GY, Yao WZ, Sui J, Shen X, Zhang YQ, et al. Integrated analysis of long non-coding RNA competing interactions reveals the potential role in progression of human gastric cancer. Int J Oncol. 2016; 48(5):1965-76.

Shin H, Kim KH, Song C, Lee I, Lee K, Kang J, et al. Electrodiagnosis support system for localizing neural injury in an upper limb. J Am Med Infect Assoc. 2010 May 1;17(3):345-7.

Sennaar K. Machine Learning for Medical Diagnostics – 4 Current Applications. Available at: https://emerj.com/ai-sector-overviews/machine-learning-medical-diagnostics-4-current-applications/. Accessed 22 February 2019.

Ada health GmbH 2018. Available at: https://ada.com. Accessed 15 September 2019.

Somashekhar SP, Kumarc R, Rauthan A, Arun KR, Patil P, Ramya YE. Double blinded validation study to assess performance of IBM artificial intelligence platform, Watson for oncology in comparison with Manipal multidisciplinary tumour board-First study of 638 breast cancer cases. Cancer Res. 2017;77(4 Suppl):abstract S6-07.

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

Dong F, Irshad H, Oh EY, Lerwill MF, Brachtel EF, Jones NC, et al. Computational pathology to discriminate benign from malignant intraductal proliferations of the breast. PloS One. 2014 Dec 9;9(12):e114885.

Sudarshan MK, Mahendra BJ, Ramesh Masthi NR. Early Detection and Prevention System EDPS2000-Validity Study of Diagnostic Capabilities, Department of Community Medicine, Kempegowda Institute of Medical Sciences (KIMS), Bangalore; December 2002.

Artelus. Artificial Learning System. Available at: http://artelus.com. Accessed 15 September 2019.

CHIRONX. Available at: https://chironx.ai. Accessed 15 September 2019.

Niramai. Available at: https://www.niramai.com. Accessed 15 September 2019.

OnceStem Diagnostics. Available at: https://oncostem.com. Accessed 15 September 2019.

qure.ai. Available at: http://www.qure.ai. Accessed 15 September 2019.

SigTuple. Available at: https://sigtuple.com. Accessed 15 September 2019.

Graham J. Artificial Intelligence, Machine Learning, and the FDA. 2016 Available at: https://www.forbes.com/sites/theapothecary/2016/08/19/artificial-intelligence-machine-learning-and-the-fda/#4aca26121aa1. Accessed 15 September 2019.

FDA permits marketing of artificial intelligence algorithm for aiding providers in detecting wrist fractures. May 24, 2018. Available at: https://www.fda.gov/newsevents/newsroom/pressannouncements/ucm608833.htm. Accessed 15 September 2019.

IMAGEN. Available at: https://imagen.ai. Accessed 15 September 2019.