EAPD Diagnosis Diagnosis Using AI
The motivation behind this undertaking is to take a gander at the capability of computerized reasoning (A1) in giving dependable and fast diagnostics to pediatric problems. Pediatric disease determination accurately and speedily are basic for effective therapy and further developed wellbeing outcomes Nevertheless, the intricacies of these signs, as well as the shortage of pediatric specialists, make ID difficult Al has shown fantastic outcomes in different clinical fields, including assessment, treatment, and medicine find This study examines flow progresses in involving Al strategies for pediatric sickness location, evaluating their exactness and efficacy This examination accentuates the limitations and cutoff points of Al techniques, stressing the prerequisite for more innovative work to work on their accuracy and constancy, The exploration contains cases demonstrating the viability of Al in the analysis of pediatric afflictions like leukemia, mental imbalance, and flu. The discoveries propose that Al strategies have a likelihood to further develop finding exactness and immediately, limit botches, and empower brief treatment for pediatric sicknesses. In any case, further review is expected to evaluate the appropriateness of Al methods in certifiable medical services conditions while handling issues like as information quality, interpretability, and moral worries. The paper goes on by proposing possible turn of events and examination ways for Al techniques for the specific finding of pediatric infections, underlining the significance of interdisciplinary coordinated effort and moral issues.
Authors
- Satish R. Raj (ORCID: https://orcid.org/0000-0002-5890-3785)
- M. Renukadevi
- P. Sruthi
- Jajimoggala Sravanthi
- B. R. Supreeth
- Zayd Balasse
Institutions
- Iraqi University (IQ)
- Saveetha University (IN)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ic363308.2025.10956350
- Primary Topic
- Air Quality Monitoring and Forecasting
- Type
- article
- Field-Weighted Citation Impact
- 0.00