Clinical Application
of Artificial Neural Networks Artificial Neural Networks (ANNs) are computer algorithms designed to simulate the functions of a biological neural network in the human brain. These networks contain neurons, which are connected together and form a network that receives input, processes the signal and outputs a decision, making them powerful tools for complex data analysis and decision-making, both in research and clinical settings. ANNs are used in a range of clinical applications, such as disease diagnosis, medical imaging analysis and medical alerting. ANNs provide physicians and healthcare providers with an efficient tool to interpret large and complex medical data, allowing for more accurate and timely diagnoses and treatments. They are also useful in applications such as bioinformatics, drug discovery and personalized medicine. The use of Artificial Neural Networks in the clinical setting has the potential to revolutionize healthcare delivery, providing clinicians with improved and tailored patient care.
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