This story was originally published on HackerNoon at: https://hackernoon.com/as-healthcare-ai-advances-how-do-we-balance-the-benefits-with-privacy-concerns). The first concern is the privacy of the data used to train these models, second is the model's response based on the input of the patient’s data. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning). You can also check exclusive content about #ai), #healthcare), #cybersecurity), #ai-in-healthcare), #future-of-ai-in-healthcare), #ai-privacy-concerns), #advancements-in-healthcare-ai), #future-of-ai), and more.
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Artificial intelligence (AI) in healthcare has the potential to revolutionize clinical research and care delivery. AI can be used to sift through massive databases and may have applications in mental healthcare and cancer detection. The concerns are in two categories. The first concern is the privacy of the data used to train these models, second is the model's response based on the input of the patient’s data.