One of the main problems of healthcare facilities is that they are often overcrowded, resulting in a poor patient experience. The use of Artificial Intelligence helps by quickly analyzing data to produce reports and tell patients where to go and who to see quickly, avoiding the confusion that is common in healthcare environments.
Through the use of algorithms and data, these technologies can identify patterns and provide automated information that helps with health monitoring, medical record management, treatment design and even digital consultations.
Machine Learning and Deep Learning [Neural Networks]
Prepare and detect patterns in huge data sets to facilitate decision making through neural networks.
Reinforcement learning and optimization with Deep Learning
Trains algorithms to avoid errors and make the most optimal decisions.
Natural Language Processing (NLP) and Transformers
Machines process and extract value from text and audio. One of the algorithms used is Transformers.
The impact of advances in various artificial intelligence techniques is already beginning to be felt in all areas of this sector: from early detection scanners and predictive models to the monitoring of patients with rare diagnoses.
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