The accuracy and reliability of machine learning in healthcare relies on two factors: quality of training data and model fine-tuning.
Quality data refers to datasets that are properly labeled and structured in order to ensure the ML model has reliable information. Fine-tuning the model makes sure that your model will behave precisely the way the user wants.