The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Current status and applications of Artificial Intelligence (AI) in medical field: An overview
Abstract
In the current scenario, artificial intelligence (AI) is going to change almost all the areas of the medical field. The need is to study the research carried out in this technology and identify its different applications in the medical field. Studies and research articles on “artificial intelligence” and “artificial intelligence in the medical field” have identified significant applications of AI. This article explores and shows how AI helps to solve challenging problems in the medical field through extensive research and development. The study identified five significant technologies as being used in AI in the medical field and the process of implementing AI. Finally, this article identifies ten primary applications of AI in the medical field, along with a brief description. AI provides a productive clinical decision to improve patient outcomes. Different technologies are adopted and experimented with increasing automation in the medical field. Nowadays, AI is being introduced in the medical field to keep a medical record in digital format and conduct patient checkup using smart technologies. It provides solutions, especially in targeted treatments, uniquely composed drugs and personalised therapies. AI is an innovative technology that helps to guide the surgeon during medication, treatment and operation. The main application of this technology is for better decision-making for complicated cases. It can also help to track, detect, investigate and control the infection in the hospital. This technology develops and optimises online patient appointment platforms. In future, it will be helpful in all medical areas to serve humanity.
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Citations
Cites
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Cited by
The role of artificial intelligence in healthcare: a structured literature review
Secinaro, S., Calandra, D., Secinaro, A., Muthurangu, V., & Biancone, P. (2021) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-021-01488-9 · Cited by 1,085
Significance of machine learning in healthcare: Features, pillars and applications
Javaid, M., Haleem, A., Pratap Singh, R., Suman, R., & Rab, S. (2022) · International Journal of Intelligent Networks · doi:10.1016/j.ijin.2022.05.002 · Cited by 641
Self-citationKhan, A. N., Jabeen, F., Mehmood, K., Ali Soomro, M., & Bresciani, S. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114019 · Cited by 98
Jebreen, K., Radwan, E., Kammoun-Rebai, W., Alattar, E., Radwan, A., Safi, W., Radwan, W., & Alajez, M. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05465-4 · Cited by 63
Medical Students’ Attitudes Toward AI in Medicine and their Expectations for Medical Education
Kimmerle, J., Timm, J., Festl-Wietek, T., Cress, U., & Herrmann-Werner, A. (2023) · Journal of Medical Education and Curricular Development · doi:10.1177/23821205231219346 · Cited by 46
Metadata
- Authors
- Haleem, A., Javaid, M., & Khan, I. H.
- Venue
- Current Medicine Research and Practice
- Publisher
- Medknow
- Published
- 2019-11
- Volume
- 9
- Issue
- 6
- Pages
- 231-237
- ISSN
- 2352-0817 (ISSN-L)
- OpenAlex
- W2988347076
- Cited by
- 268
- References
- 88
- FWCI
- 3.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- Haleem, A., Javaid, M., & Khan, I. H. (2019). Current status and applications of Artificial Intelligence (AI) in medical field: An overview. Current Medicine Research and Practice. https://doi.org/10.1016/j.cmrp.2019.11.005
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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