Benefits of using artificial intelligence in medical predictions
Abstract
Medicine is a domain where predictions are very important. This paper encourages the use of artificial intelligence (AI) as technological support for decision-making in medical life. Not because the human intelligence would not be enough, but because the mechanisms of artificial intelligence have several benefits that are suitable for this area. These positive features come as a result of combining two strong qualities in the same systems: the precision of mathematics and the power of current technologies. It would be a real waste to ignore them.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Two important mechanisms of the AI domain can be used to develop decisional systems for medical predictions: a knowledge-based system that involves logic and a system based on probabilistic reasoning.
“Two important mechanisms of the AI domain can be used to develop decisional systems for medical predictions: a knowledge-based system that involves logic and a system based on probabilistic reasoning.125”
From Artificial intelligence in diabetes management: Advancements, opportunities, and challenges (2023) · cites this paper as [125]
Cited by
Sorted by citations
Coombs, C., Hislop, D., Taneva, S. K., & Barnard, S. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101600 · Cited by 301 · see citing works
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
Guan, Z., Li, H., Liu, R., Cai, C., Liu, Y., Li, J., Wang, X., Huang, S., Wu, L., Liu, D., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101213 · Cited by 287 · see citing works
- Authors
- Albu, A., & Stanciu, L.
- Affiliations
- Politehnica University of Timisoara (RO)
- Venue
- 2015 E-Health and Bioengineering Conference (EHB)
- Publisher
- IEEE
- Published
- 2015-11
- Pages
- 1-4
- OpenAlex
- W2276679580
- Cited by
- 25
- References
- 0
- Citations by year
- 2025: 1 · 2023: 8 · 2022: 1 · 2021: 3 · 2020: 5 · 2019: 5 · 2018: 1 · 2016: 1
- FWCI
- 1.27
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- E-Health and Bioengineering Conference (EHB) (publishedVersion)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence in healthcare, medical prediction, clinical decision support, clinical decision-making
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
