Artificial Intelligence (AI) is transforming medical diagnostics by enhancing accuracy, efficiency, and accessibility. AI-powered systems utilize deep learning and machine learning algorithms to analyze complex medical data, leading to early and precise disease detection. This integration of AI into diagnostics is revolutionizing precision medicine, enabling tailored treatment plans and improving healthcare outcomes. However, challenges such as data privacy, biases, and regulatory issues must be addressed to ensure ethical and effective implementation. This article explores AI’s applications in diagnostics, its benefits, challenges, and future prospects.
| Mualliflar | Yakhshiboyeva , D.E., Ermetov, E.Ya. |
|---|---|
| Jurnal | Pioneering Studies and Theories |
| Nashr sanasi | 2025-02-02 |
| Jild | 1 |
| Son | 1 |
| Betlar | 13-15 |
| Til | Ingliz |
AI diagnostics, machine learning, medical imaging, precision medicine, healthcare technology, deep learning
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