INTEGRATION OF AI IN MEDICAL DIAGNOSIS AND TREATMENT

Authors

  • Abdulaziz Alanazi Research Scholars Program, Harvard Student Agencies, In collaboration with Learn with Leaders

Keywords:

Artificial Intelligence, Diagnosis, MRI, CT Scans, Deep Learning, CNN, Cancer, Neural Networks

Abstract

Artificial intelligence has grown considerably in recent years. Digital AI models can create almost life-like videos and images and solve complex problems and prompts, and a new application of AI in medical diagnosis and treatment is being used for patients. AI can use patients’ information and tests such as MRI and CT scans to make an accurate conclusion and diagnosis of the patient, which may be more efficient and precise than being diagnosed by a doctor. To make AI models that are capable of analyzing complex images and diseases, we use machine learning and deep learning, which is how AI can be made to be able to process information through pattern recognition. Through this study, it was found that the increasing use of artificial intelligence holds much promise for improving the medical industry and patients' health.

References

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Additional Files

Published

01-08-2024

How to Cite

Abdulaziz Alanazi. (2024). INTEGRATION OF AI IN MEDICAL DIAGNOSIS AND TREATMENT. International Educational Journal of Science and Engineering, 7(8). Retrieved from https://iejse.com/journals/index.php/iejse/article/view/130