Artificial intelligence (AI) offers great potential for improving the accuracy of medical diagnosis. In this article, we will review some of the ways in which AI can be used in diagnosing disease, including using machine learning algorithms to automatically detect patterns in medical images or large amounts of data from patient health records, as well as using AI to develop new diagnostic tests or to interpret results from existing tests.
One potential application of AI in diagnosing disease is using machine learning algorithms to automatically detect patterns in medical images that are indicative of a particular condition. For example, a machine learning algorithm could be trained to detect the presence of tumors in MRI images or to identify the early signs of Alzheimer’s disease in PET scans.
Another potential application of AI in diagnosing disease is to use machine learning algorithms to analyze large amounts of data from patient health records. By looking for patterns in this data, AI could potentially identify trends that might point to the development of a particular disease. For example, a machine learning algorithm might be able to identify a previously unknown correlation between two factors that could be indicative of a particular disease.
AI can also be used to develop new diagnostic tests. For example, AI can be used to design “virtual patients” that can be used to test new diagnostic algorithms. AI can also be used to interpret results from existing tests. For example, AI can be used to analyze the results of genetic tests to identify mutations that are associated with a particular disease.
Finally, AI can be used in conjunction with traditional methods to improve the accuracy of diagnosis. For example, AI can be used to provide decision support to physicians by offering suggestions about which tests should be ordered or what the most likely diagnosis is based on the symptoms presented by the patient.
References:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5815849/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3644047/
https://www.sciencedirect.com/science/article/pii/S1877050918314654
https://www.nature.com/articles/s41598-019-49167-0