The most important components for a successful AI model are the quality, quantity, and type of data used to train and evaluate the model. Using the most recent and reliable data access is crucial given the ongoing growth of medical data. Regularly adding new data to the model is also necessary. Only correlations can be recognised by AI systems. Additionally, it can be difficult to interpret the complex relationships that the model predicts.
The point is that Artificial Intelligence in Healthcare is widely used. It will eventually become an integral part of the industry with use and time. To meet the various needs of the healthcare sector, it is the shared responsibility of all significant stakeholders to ensure best use and ongoing renewal.
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