Artificial Intelligence in Kidney Diseases: The Reality and Prospects | ||||
| International Journal of Medical Arts | ||||
| Article 1, Volume 6, Issue 12, December 2024, Page 5142-5152 PDF (1.5 MB) | ||||
| Document Type: Review Article | ||||
| DOI: 10.21608/ijma.2024.324175.2044 | ||||
 View on SCiNiTO | ||||
| Author | ||||
Ahmed Salama Al-Adl  
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| Department of Internal Medicine, Damietta Faculty of Medicine, Al-Azhar University, Damietta, Egypt. | ||||
| Abstract | ||||
| Background: Artificial intelligence (AI) is defined as the science and engineering of building intelligent machines that have the capacity to learn and emulate human intellect. Many of us may believe that AI is somewhat sophisticated that we do not want to get associated with since we are doctors, know our specialization, and do not need any artificial assistance. But fortunately, or unfortunately, this is not a selection. We live wrapped in AI. Summary and Conclusion: Artificial intelligence is rapidly being employed in nephrology, among other medical fields. AI's function in kidney disease involves warning the presence of CKD, performing diagnostic imaging, determining pathology, and directing treatment. We've come a long way, from empirical medicine to evidence-based medicine and now artificial intelligence. Although artificial intelligence is still in its early phases, it has the potential to grow in the future. AI has various challenges, including data quality, privacy, and regulatory concerns, a lack of standardization among centers, and a lack of verification. | ||||
| Keywords | ||||
| Artificial intelligence; Chronic Kidney Disease; Artificial Neural Network; Machine learning | ||||
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