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AI in Medicine: About

AI in Medicine

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How Is AI Used in Medicine?

Artificial intelligence in medicine is the use of machine learning models to search medical data and uncover insights to help improve health outcomes and patient experiences. Thanks to recent advances in computer science and informatics, artificial intelligence (AI) is quickly becoming an integral part of modern healthcare. AI algorithms and other applications powered by AI are being used to support medical professionals in clinical settings and in ongoing research.

Currently, the most common roles for AI in medical settings are clinical support and imaging analysis. Clinical decision support tools help providers make decisions about treatments, medications, mental health, and other patient needs by providing them with quick access to information or research that's relevant to their patient. In medical imaging, AI tools are being used to analyze CT scans, x-rays, MRIs and other images for lesions or other findings that a human radiologist might miss.  Continue reading from IBM

Pros and Cons of AI in Medicine

AI in healthcare covers a wide range of assistance to health systems of assistance to health systems and workers, but what are the specific benefits and downfalls of its adoption?

From transportation to service provision, Artificial Intelligence (AI) has showcased science and technology's development over the years, especially with the implementation of AI in healthcare. Continue reading from Open Access Government

From Our Collection

link to AI doctor by Ronald Razmi in the catalog
link to Simply artificial intelligence in the catalog
link to superconvergence by jamie metzl in the catalog
link to the coming wave by mustafa suleyman in the catalog
Link to chatgpt for dummies in the catalog
Link to Deep Medicine by Eric Topol in the Catalog

Learn more about Artificial Intelligence, link to AI Explained resource guide series