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In India, Artificial Intelligence (AI) is ushering in a transformative era in healthcare. Health institutions have amassed extensive datasets encompassing clinical trials, health records, and medical images. AI technologies excel in mining these data, revealing hidden patterns and insights beyond human detection. AI empowers healthcare organizations to employ algorithms for more informed clinical decisions, ultimately enhancing the quality of patient care. AI encompasses various subsets, notably machine learning and deep learning. Machine learning focuses on developing predictive and decision-making algorithms, while deep learning, a subset of machine learning, leverages artificial neural networks to analyze vast datasets. AI's roots trace back to the 1950s when its conceptualization was in its infancy. Subsequently, it gained traction in the life sciences, with the early 1970s witnessing a surge in AI research applied to biomedical challenges. By the 1980s, AI had firmly established itself in the clinical realm, where it continues to thrive and evolve today, revolutionizing the healthcare landscape.
In India, Artificial Intelligence (AI) is driving a profound transformation in healthcare. Extensive datasets, including clinical trials, health records, and medical images, have been curated by healthcare institutions. AI excels in data analysis, unveiling intricate patterns beyond human perception. This technology empowers healthcare organizations to deploy algorithms, enhancing clinical decision-making and patient care quality. AI encompasses subsets such as machine learning and deep learning, each specializing in predictive algorithms and neural network-based data analysis.
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