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7 Ways Artificial Intelligence And Machine Learning Are Revolutionising Healthcare Today

How has the introduction of artificial intelligence and machine learning revolutionised the healthcare sector?

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Written By: Kinkini Gupta | Updated: February 7, 2024, 4:56 PM

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Role Of AI And ML In Healthcare

Incredible technological advancements in the world have brought us closer to the best health treatments that patients can now avail. The introduction of artificial intelligence and machine learning has been monumental in medicine. Not only do they ensure better, faster and more effective treatment and care but also helps relieve some pressure off of medical professionals.

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Diseases Detection

Artificial Intelligence is equipped in the early detection of diseases. This is the best part of having AI in healthcare because it not only can detect disease but also can detect them when they are at its earliest stages. This can help enable timely intervention and prevention especially for the diseases which can be fatal if detected late. AI can analyse and identify patterns in conditions heart diseases, cancer and neurodegenerative disorders.  Also Read - Want to slow ageing? Reading books, listening to music and visiting museums may help, says study

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Personalised Treatment

AI and ML algorithms can analyse as well as keep track of huge data. Through their algorithms, they can also create personalised treatment plans according to the needs of each patient. This can reduce a lot of time, increase efficiency on the part of doctors and minimise any possible adverse effects.

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Image Analysis And Segmentation

AI can identify specific structures and abnormalities by segmenting medical images. Segmenting helps it focus on the region of interest and this helps identify the problem regions. For instance, in case of brain imaging, it can segment different regions of the brain to provide a clearer picture that can identify tumours or lesions.

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Research

AI can help treat patients by finding suitable drugs after analysing and studying the data and research. This way, diagnosis and treatment can be a lot faster and the pressure of medical professionals will eventually become less.