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Case Study - Conclusion

    To sum up, this study illustrates that AI in healthcare is being developed by a lot of companies as well as it is rich of benefits in this field because it saves money, effort and time. Google health and DeepMind is a perfect example for developing the sense to manage many critical health related conditions. In my point of view, AI and ML must be utilised more in these fields to reach a level of high-tech support and services. Lastly, after doing this study, it is clear that the positive effects of utilising AI and ML in healthcare services overweight the negative effects.
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Welcome!

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     Using AI to tackle disease, from monitoring, to detection, to lifestyle management. Google’s strategy involves an end-to-end approach to healthcare, including: Data generation — This includes digitising and ingesting data produced by wearables, imaging, and MRIs among other methods. This data stream is critical to AI-driven anomaly detection. Disease detection — Using AI to detect anomalies in a given dataset that might signal the presence of some disease. Disease/lifestyle management — These tools help people who have been diagnosed with a disease or are at risk of developing one go about their day-to-day lives and/or make positive lifestyle modifications DeepMind is involved in several parts of disease detection and Google itself holds several patents under the parent company.      Google's DeepMind artificial intelligence research company is developing a clinical decision support (CDS) tool for identifying eye diseases. Researchers from DeepMind...
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