Artificial Intelligence in Medical Imaging : A Review
DOI:
https://doi.org/10.32628/IJSRSET241119Keywords:
Artificial Intelligence, Healthcare, Patients, Medicine, TreatmentAbstract
Artificial intelligence is the science of making machines that can think and act same as like humans. ‘Artificial’ are the objects created by the human beings and ‘Intelligence’ is the capability to perform the given task by interacting with a huge information. The AI in healthcare has made dramatic progress in recent years. Artificial intelligence may give better treatment to patients by taking the excellent decision in healthcare and medicine by prevention, detection, diagnosis, and treatment of the disease.
References
- Nirupam Bajpai and Manisha Wadhwa, “Artificial Intelligence and Healthcare in India”, January 2020, pp. 1-3.
- Filippo Pesapane, Marina Codari and Francesco Sardanelli,
- “Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine”, October -2018, pp. 1-5.
- Mukesh Bhardwaj, Vivek Singh Kushwah, Subhrendu Guha Neogi, “A Review on Medical Image Analysis using Deep Learning”, Engineering and Technology Journal for Research and Innovation (ETJRI) ISSN 2581-8678, Volume IV, Issue I, January 2022, pp. 1-3.
- Ana Barragán-Montero, Umair Javaid, Gilmer Valdés, Dan Nguyen, Paul Desbordes, Benoit Macq, Siri Willems, Liesbeth Vandewinckele, Mats Holmström, Fredrik Lofman, Steven Michiels, Kevin Souris, Edmond Sterpin, John A. Lee1, “Artificial intelligence and machine learning for medical imaging: a technology review”, HHS Public Access, 09 May 2022, pp. 1-3.
- Ana Barragan-Monteroa, Umair Javaida, Gilmer Valdesb, Dan Nguyenc, Paul Desbordesd, Benoit Macqd, Siri Willemse, Liesbeth Vandewinckelef, Mats Holmstr¨ omg, Fredrik L¨ ofmang, Steven Michielsa, Kevin Sourisa, Edmond Sterpina,f, John A. Lee, “Artificial intelligence and machine learning for medical imaging: A technology review”, Associazione Italiana di Fisica Medica, 09 May 2021,pp. 2-5.
- Jissa George, Dr. Bijimol T.K, “AI in Medical Field”, International Conference on Interllectual Property Rights, 20 February 2021, pp. 1-2.
- Julia Cohen , “AI4Health: A Collab for the Future of Health Care”, 22 November 2022
- Joseph R. England, Phillip M. Cheng, “Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers”, March 2019, pp. 2-3.
- S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers, “A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises”, 5 March 2021, pp. 1-2.
- Andreas S. Panayides, Senior Member, IEEE, Amir Amini Ashish Sharma, Sotirios A. Tsaftaris Nhan Do, Fellow, IEEE, Nenad D. Filipovi , Senior Member, IEEE, Alistair Young, DavidForan, Spyretta Golemati Konstantina S. Nikita, Member, IEEE, Tahsin Kurc, Kun Huang, Fellow, IEEE, Ben P. Veasey, Student Member, IEEE, Michalis Zervakis, Senior Member, IEEE, Joel H. Saltz, Senior Member, IEEE, and Constantinos S. Pattichis, “AI in Medical Imaging Informatics: Current Challenges and Future Directions”, IEEE Journal Of Biomedical And Health Informatics, Vol. 24, No. 7, July 2020, pp. 13-14.
- Karthikeyan BM, “Advantages of AI in Medical Field”, January 2021, pp. 5-8.
- S. Ji, Q. Gu, H. Weng, Q. Liu, P. Zhou, Q. He, R. Beyah, T. Wang, “De-health: all your online health information are belong to us”. Ar Xiv preprint. (2019).
- J. Wolff, J. Pauling, A. Keck, J. Baumbach, “The economic impact of artificial intelligence in health care: systematic review”, J Med. Internet Res. 22(2), e16866 (2020)
- Bangul khan1, Hajira Fatima, Ayatullah Qureshi, Sanjay Kumar, Abdul Hanan, Jawad Hussain, Saad Abdullah, “Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector”, 19 January 2023, pp. 3-9.
- H. Alami, P. Lehoux, J.-L. Denis, A. Motulsky, C. Petitgand, M. Savoldelli et al., “Organizational readiness for artificial intelligence in health care: insights for decision-making and practice”, J Health Organ Manag. 35(1), 2021, pp. 106–114.
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