Artificial Intelligence in Medical Diagnostics: Current Capabilities, Clinical Applications, and Limitations
Keywords:
Artificial Intelligence, Medical Diagnosis, Machine LearningAbstract
Lately, artificial intelligence is being used in many areas of medicine. It's viewed as a promising aid for specialists who handle tons of medical information and need to make diagnostic calls. AI's role in medical diagnostics grabs attention—timely, accurate diagnoses matter a lot for treatment choices and disease outlooks. This review article aims to explore how AI can be used in medical diagnostics today. It will look at its advantages, limitations, and future in clinical settings. Key focuses include how AI is used in medical image analysis, digital pathology, and processing clinical data—along with current machine learning and deep learning methods.
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