Artificial Intelligence in Medical Diagnostics: Opportunities, Challenges, and Future Perspectives
Keywords:
Artificial Intelligence, medical diagnostics, machine learningAbstract
Artificial Intelligence (AI) has rapidly transformed modern healthcare, particularly in the field of medical diagnostics. Machine learning algorithms and deep learning models are capable of analyzing large datasets, identifying patterns, and assisting clinicians in making accurate diagnoses. AI-driven diagnostic systems have shown significant success in areas such as radiology, pathology, dermatology, and cardiology. Despite its promising potential, the integration of AI in clinical practice raises challenges related to data privacy, ethical considerations, algorithm transparency, and regulatory frameworks. This paper reviews the current applications of AI in medical diagnostics, highlights major technological advancements, and discusses future directions for safe and effective implementation of AI in healthcare systems.
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