Artificial Intelligence in Medical Field

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The medical field constantly innovates and develops new technologies to improve patient care. Societies, in general, are significantly impacted by technological innovations (Giddens et al., 2021). One such recent innovation is the use of artificial intelligence (AI) in various applications, such as medical diagnosis and treatment. AI is quicker than humans in processing data accurately. This can be helpful in the diagnosis and treatment of medical conditions.

AI can be used to generate hypotheses about a patients symptoms. It can then use this information to search for patterns in data that may indicate a diagnosis. AI can also be used to identify potential treatments for patients. This information can then be compared to the results of tests that were done on the patient and improve doctors decisions on their patients health.

As AI becomes more widely used in the medical field, it has the potential to change our way of life in both small and large ways. One potential impact of AI on society is its ability to reduce the cost of healthcare (Mintz & Brodie, 2019). AI can automate routine tasks, such as reviewing X-rays and scans, which can save healthcare providers time and money. Additionally, AI has the potential to improve personalized care by predicting patient needs, which can help shorten patient care time. This technology also has the potential to improve medical care by automating processes and reducing the need for human expertise.

Another potential impact of AI on society is its ability to reduce the number of medical errors. By automating processes, AI could help healthcare providers ensure that all patient data is correctly entered and analyzed (Mintz & Brodie, 2019). This could help to reduce the number of medical errors, which can have serious consequences for patients. As AI continues to evolve, it has the potential to further reduce the cost of healthcare and improve patient care.

References

Giddens, A., Duneier, M., Appelbaum, R. P., & Carr, D. (2021). Essentials of sociology (8th ed.). W.W. Norton & Company.

Mintz, Y., & Brodie, R. (2019). Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), 73-81. Web.

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