Healthcare in Artificial Intelligence
Healthcare in Artificial Intelligence
CHALLENGE
One major application of AI in medical diagnosis is MRI scans. AI has taken over the complex analysis of MRI scans and it has made it a much simpler process. MRI scans are actually the most difficult to analyze because of the amount of information that they contain normal MRI analysis will take about several arts. It will take about four to five hours. It can take between two to seven hours also and any researcher that is trying to formulate an outcome or is trying to get the results from these large datasets they have to wait four hours for a computer to generate these scans.
SOLUTION
Our successive team has solution of this challenge and adding AI for large and complex datasets can be analyzed with the help of neural networks. They developed a neural network that was trained on a dataset of approximately 7,000 MRI scans to how a neural network functions by inputting the data at one end. We just give input at one end of the neural network and this input will undergo transformation throughout the network until the final desired output is formed. Therefore, neural networks work on the principle of weights and bias.
OUTCOME
The result of this solution created a huge difference from the conventional MRI analysis methods. The neural network took seconds to perform MRI analysis the same analysis that will take about hours for a conventional MRI program. There is a huge difference when implementing AI-based technologies like deep learning and neural networks so that is how artificial intelligence is used in medical diagnosis.
About AGT
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