Introduction to AI

Unit 2 - Examples of AI and big data by industry

Lesson 3: Medical

The use of AI in medical fields is advancing, albeit with care and attention to ensure that patient safety is maintained. One notable area is the interpretation of medical images. AI-powered algorithms have been created that can analyse X-rays, MRIs, and CT scans, aiding in early and accurate detection of diseases like cancer, fractures, or neurological conditions. 

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The use of AI in medical fields is advancing, with care and attention to ensure that patient safety is maintained. One notable area is the interpretation of medical images. AI-powered algorithms have been created that can analyse X-rays, MRIs, and CT scans, aiding in early and accurate detection of diseases like cancer, fractures, or neurological conditions. 

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There is also a lot of research in AI-driven personalised medicine, which uses patient data to tailor treatments based on the genetic, lifestyle, and environmental data of the patient. AI can speed up administrative tasks, such as hospital operations, predicting disease outbreaks, and improving drug discovery by analysing vast datasets. These advances are a transformative shift in healthcare, enhancing efficiency, accuracy, and personalised care while paving the way for more precise diagnostics and targeted treatments.

AI has played an important role in understanding Covid-19 and for finding treatments. Teams of medical professionals and AI scientists have worked together to analyse medical data from Covid-19 patients, helping to understand how the disease works and predict how likely patients could develop long-term symptoms.